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2,106 results on '"[SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging"'

1. In Vivo Fast Nonlinear Microscopy Reveals Impairment of Fast Axonal Transport Induced by Molecular Motor Imbalances in the Brain of Zebrafish Larvae

Author: Baptiste Grimaud, Maxence Frétaud, Feriel Terras, Antoine Bénassy, Karine Duroure, Valérie Bercier, Gaëlle Trippé-Allard, Rabei Mohammedi, Thierry Gacoin, Filippo Del Bene, François Marquier, Christelle Langevin, François Treussart, Treussart, François, APPEL À PROJETS TRANSNATIONAL SUR LA NANOMÉDECINE - - MoDiaNo2018 - ANR-18-ENM3-0002 - ERAnet EURONANOMED - VALID, Enabling Vision Restoration - - FOReSIGHT2018 - ANR-18-IAHU-0001 - IAHU - VALID, Comprendre comment l'homéostasie du transport axonal est médiée par le 'tubulin code' - - CodeAx2020 - ANR-20-CE13-0011 - AAPG2020 - VALID, iReelAx : Analyse interspécifique des fonctions de Reelin dans le câblage des circuits et les troubles neurodéveloppementaux - - iReelAx2019 - ANR-19-CE16-0017 - AAPG2019 - VALID, Idex Paris-Saclay - - IPS2011 - ANR-11-IDEX-0003 - IDEX - VALID, Laboratoire Lumière, Matière et Interfaces (LuMIn), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), Plateforme d'Infectiologie Expérimentale des Rongeurs et Poissons (IERP (UE 0907)), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Virologie et Immunologie Moléculaires (VIM (UR 0892)), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut de la Vision, Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), VIB Center for Brain and Disease Research, Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Laboratoire de physique de la matière condensée (LPMC), École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), MITI CNRS- Fondation pour la recherche médicale (grant #MND202003011485)- FWO Fellowship (#12Y9120N), ANR-18-ENM3-0002,MoDiaNo(2018), ANR-18-IAHU-0001,FOReSIGHT,Enabling Vision Restoration(2018), ANR-20-CE13-0011,CodeAx,Comprendre comment l'homéostasie du transport axonal est médiée par le 'tubulin code'(2020), ANR-19-CE16-0017,iReelAx,iReelAx : Analyse interspécifique des fonctions de Reelin dans le câblage des circuits et les troubles neurodéveloppementaux(2019), and ANR-11-IDEX-0003,IPS,Idex Paris-Saclay(2011)
Subjects: [PHYS.PHYS.PHYS-OPTICS] Physics [physics]/Physics [physics]/Optics [physics.optics], [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], second harmonic generation, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, General Engineering, General Physics and Astronomy, nonlinear nanocrystal, disease models, molecular motor, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, zebrafish larva, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], General Materials Science, two-photon microscopy, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], axonal transport, single nanoparticle tracking
Abstract: International audience; Cargo transport by molecular motors along microtubules is essential for the function of eucaryotic cells, in particular neurons in which axonal transport defects constitute the early pathological features of neurodegenerative diseases. Mainly studied in motor and sensory neurons, axonal transport is still difficult to characterize in neurons of the brain in absence of appropriate in vivo tools. Here, we measured fast axonal transport by tracing the second harmonic generation (SHG) signal of potassium titanyl phosphate (KTP) nanocrystals endocytosed by brain neurons of zebrafish (Zf) larvae. Thanks to the optical translucency of Zf larvae and of the perfect photostability of nanoKTP SHG, we achieved a high scanning speed of 20 frames (of ≈ 90 μ m×60 μ m size) per second in Zf brain. We focused our study on endolysosomal vesicle transport in axons of known polarization, separately analyzing kinesin and dynein motor-driven displacements. To validate our assay, we used either loss-of-function mutations of dynein or kinesin 1 or the dynein inhibitor dynapyrazole, and quantified several transport parameters. We successfully demonstrated that dynapyrazole reduces nanoKTP mobile fraction and retrograde run length consistently, while the retrograde run length increased in kinesin 1 mutants. Taking advantage of nanoKTP SHG directional emission, we also quantified fluctuations of vesicle orientation. Thus, by combining endocytosis of nanocrystals having non-linear response, fast two-photon microscopy, and high-throughput analysis, we are able to finely monitor fast axonal transport in vivo in the brain of a vertebrate, and reveal subtle axonal transport alterations. The high spatiotemporal resolution achieved in our model may be relevant to precisely investigate axonal transport impairment associated to disease models.
Published: 2022
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2. Disease Progression Score Estimation From Multimodal Imaging and MicroRNA Data Using Supervised Variational Autoencoders

Author: Virgilio Kmetzsch, Emmanuelle Becker, Dario Saracino, Daisy Rinaldi, Agnes Camuzat, Isabelle Le Ber, Olivier Colliot, Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Dynamics, Logics and Inference for biological Systems and Sequences (Dyliss), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-GESTION DES DONNÉES ET DE LA CONNAISSANCE (IRISA-D7), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), The research leading to these results has received funding from the French government under management of Agence Nationale de la Recherche, references ANR-19-P3IA-0001 (PRAIRIE 3IA Institute), ANR-10-IAIHU-06, project PREV-DEMALS (grant number ANR-14-CE15-0016-07), and from the Inria Project Lab Program (project Neuromarkers)., ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019), ANR-14-CE15-0016,PREV-DEMALS,Prédire pour prévenir les démences frontotemporales (DFT) et la sclérose latérale amyotrophique (SLA)(2014), Colliot, Olivier, PaRis Artificial Intelligence Research InstitutE - - PRAIRIE2019 - ANR-19-P3IA-0001 - P3IA - VALID, and Appel à projets générique - Prédire pour prévenir les démences frontotemporales (DFT) et la sclérose latérale amyotrophique (SLA) - - PREV-DEMALS2014 - ANR-14-CE15-0016 - Appel à projets générique - VALID
Subjects: [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, [SDV.NEU.NB] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Deep learning, MicroRNA, Neuroimaging, Health Informatics, Variational autoencoder, Neurodegenerative disease, Disease progression score, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Computer Science Applications, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Multimodal data, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], Health Information Management, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Electrical and Electronic Engineering, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract: International audience; Frontotemporal dementia and amyotrophic lateral sclerosis are rare neurodegenerative diseases with no effective treatment. The development of biomarkers allowing an accurate assessment of disease progression is crucial for evaluating new therapies. Concretely, neuroimaging and transcriptomic (microRNA) data have been shown useful in tracking their progression. However, no single biomarker can accurately measure progression in these complex diseases. Additionally, large samples are not available for such rare disorders. It is thus essential to develop methods that can model disease progression by combining multiple biomarkers from small samples. In this paper, we propose a new framework for computing a disease progression score (DPS) from cross-sectional multimodal data. Specifically, we introduce a supervised multimodal variational autoencoder that can infer a meaningful latent space, where latent representations are placed along a disease trajectory. A score is computed by orthogonal projections onto this path. We evaluate our framework with multiple synthetic datasets and with a real dataset containing 14 patients, 40 presymptomatic genetic mutation carriers and 37 controls from the PREV-DEMALS study. There is no ground truth for the DPS in real-world scenarios, therefore we use the area under the ROC curve (AUC) as a proxy metric. Results with the synthetic datasets support this choice, since the higher the AUC, the more accurate the predicted simulated DPS. Experiments with the real dataset demonstrate better performance in comparison with stateof-the-art approaches. The proposed framework thus leverages cross-sectional multimodal datasets with small sample sizes to objectively measure disease progression, with potential application in clinical trials.
Published: 2022
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3. Fibroblast heterogeneity in solid tumors: From single cell analysis to whole-body imaging

Author: Agathe, Peltier, Romain-David, Seban, Irène, Buvat, François-Clément, Bidard, Fatima, Mechta-Grigoriou, Buvat, Irène, Unité de génétique et biologie des cancers (U830), Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire d'Imagerie Translationnelle en Oncologie (LITO ), and CIC1428 IGR-CURIE
Subjects: Cancer Research, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Serine Endopeptidases, Membrane Proteins, Fibroblasts, Metastases, FAPI radiotracer, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Immune therapy, Tumor microenvironment, Gelatinases, Positron Emission Tomography Computed Tomography, Neoplasms, Humans, Whole Body Imaging, Single-Cell Analysis, Cancer-associated fibroblasts
Abstract: International audience; Cancer-Associated Fibroblasts (CAFs) represent the most prominent component of the tumor microenvironment (TME). Recent studies demonstrated that CAF are heterogeneous and composed of different subpopulations exerting distinct functions in cancer. CAF populations differentially modulate various aspects of tumor growth, including cancer cell proliferation, extra-cellular matrix remodeling, metastatic dissemination, immunosuppression and resistance to treatment. Among other markers, the Fibroblast Activation Protein (FAP) led to the identification of a specific CAF subpopulation involved in metastatic spread and immunosuppression. Expression of FAP at the surface of CAF is detected in many different cancer types of poor prognosis. Thus, FAP recently appears as an appealing target for therapeutic and molecular imaging applications. In that context, 68 Ga-labeled radiopharmaceutical-FAP-inhibitors (FAPI) have been recently developed and validated for quantitatively mapping FAP expression over the whole-body using Positron Emission Tomography (PET/CT). In this review, we describe the main current knowledge on CAF subpopulations and their distinct functions in solid cancer, as well as the promising diagnostic and therapeutic implications of radionuclides targeting FAP.
Published: 2022
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4. 55/52Mn2+ Complexes with a Bispidine-Phosphonate Ligand: High Kinetic Inertness for Imaging Applications

Author: Maryame Sy, Daouda Ndiaye, Isidro da Silva, Sara Lacerda, Loïc J. Charbonnière, Éva Tóth, Aline M. Nonat, Institut Pluridisciplinaire Hubert Curien (IPHC), Université de Strasbourg (UNISTRA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Centre de biophysique moléculaire (CBM), Université d'Orléans (UO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Conditions Extrêmes et Matériaux : Haute Température et Irradiation (CEMHTI), Université d'Orléans (UO)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Département Sciences Analytiques et Interactions Ioniques et Biomoléculaires (DSA-IPHC), Université de Strasbourg (UNISTRA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), and HEP, INSPIRE
Subjects: [CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistry, Inorganic Chemistry, [CHIM.THEO] Chemical Sciences/Theoretical and/or physical chemistry, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [CHIM.COOR]Chemical Sciences/Coordination chemistry, [CHIM.COOR] Chemical Sciences/Coordination chemistry, Physical and Theoretical Chemistry
Abstract: International audience; Bispidine (3,7-diazabicyclo[3.3.1]nonane) provides a rigid and preorganized scaffold that is particularly interesting for the stable and inert complexation of metal ions, especially for their application in medical imaging. In this study, we present the synthesis of two bispidine ligands with N-methanephosphonate (H4L1) and N-methanecarboxylate (H3L2) substituents as well as the physico-chemical properties of the corresponding Mn2+ and Zn2+ complexes. The two complexes [Mn(L-1)](2- )and [Mn(L-2)](-) have relatively moderate thermodynamic stability constants according to potentiometric titration data. However, they both display an exceptional kinetic inertness, as assessed by transmetallation experiments in the presence of 50 equiv excess of Zn2+, showing only similar to 40 and 20% of dissociation for [Mn(L-1)](2- ) and [Mn(L-2)](-), respectively, after 150 days at pH 6 and 37°C. Proton relaxivities amount to r(1 )= 4.31 mM(-1 )s(-1 )([Mn(L-1)](2-)) and 3.64 mM(-1) s(-1 )([Mn(L-2)](-)) at 20 MHz, 25°C, and are remarkable for Mn2+ complexes with one inner-sphere water molecule (q = 1); they are comparable to that of the commercial contrast agent [Gd(DOTA)(H2O)](-). The presence of one inner-sphere water molecule and an associative water exchange mechanism was confirmed by temperature-dependent transverse O-17 relaxation rate measurements, which yielded k(ex)(298) = 0.12 x 10(7) and 5.5 x 10(7) s(-1 )for the water exchange rate of the phosphonate and the carboxylate complex, respectively. In addition, radiolabeling experiments with Mn-52 were also performed with H-2(L-1)(2-) showing excellent radiolabeling properties and quantitative complexation at pH 7 in 15 min at room temperature as well as excellent stability of the complex in various biological media over 24 h.
Published: 2022
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5. Voxel‐wise supervised analysis of tumors with multimodal engineered features to highlight interpretable biological patterns

Author: Thibault Escobar, Sébastien Vauclin, Fanny Orlhac, Christophe Nioche, Pascal Pineau, Laurence Champion, Hervé Brisse, Irène Buvat, Buvat, Irène, Laboratoire d'Imagerie Translationnelle en Oncologie (LITO ), Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), DOSIsoft, Institut Curie - Saint Cloud (ICSC), and Institut Curie [Paris]
Subjects: Lung Neoplasms, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Sarcoma, General Medicine, Magnetic Resonance Imaging, machine learning, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, radiomics, Positron Emission Tomography Computed Tomography, voxel-wise, Humans, sub-region, Neural Networks, Computer, interpretability
Abstract: International audience; Background: Translation of predictive and prognostic image-based learning models to clinical applications are challenging due in part to their lack of interpretability. Some deep-learningbased methods provide information about the regions driving the model output. Yet, due to the high-level abstraction of deep features, these methods do not completely solve the interpretation challenge. In addition, low sample size cohorts can lead to instabilities and suboptimal convergence for models involving a large number of parameters such as convolutional neural networks. Purpose: Here, we propose a method for designing radiomic models that combines the interpretability of handcrafted radiomics with a sub-regional analysis. Materials and Methods: Our approach relies on voxel-wise engineered radiomic features with average global aggregation and logistic regression. The method is illustrated using a small dataset of 51 soft tissue sarcoma (STS) patients where the task is to predict the risk of lung metastasis occurrence during the follow-up period. Results: Using PET/CT and two MRI sequences separately to build two radiomic models, we show that our approach produces quantitative maps that highlight the signal that contributes to the decision within the tumor region of interest. In our STS example, the analysis of these maps identified two biological patterns that are consistent with STS grading systems and knowledge: necrosis development and glucose metabolism of the tumor. Conclusions: We demonstrate how that method makes it possible to spatially and quantitatively interpret radiomic models amenable to sub-regions identification and biological interpretation for patient stratification.
Published: 2022
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6. Imaging and Measuring Vesicular Acidification with a Plasma Membrane-Targeted Ratiometric pH Probe

Author: Sophie Michelis, Lydia Danglot, Romain Vauchelles, Andrey S. Klymchenko, Mayeul Collot, Laboratoire de Bioimagerie et Pathologies (LBP), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Institut de psychiatrie et neurosciences de Paris (IPNP - U1266 Inserm), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), and Collot, Mayeul
Subjects: [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [CHIM.ORGA]Chemical Sciences/Organic chemistry, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Cell Membrane, [SDV.BC]Life Sciences [q-bio]/Cellular Biology, Hydrogen-Ion Concentration, [CHIM.ORGA] Chemical Sciences/Organic chemistry, Lysosomes, [SDV.BC] Life Sciences [q-bio]/Cellular Biology, Endocytosis, Fluorescent Dyes, Analytical Chemistry
Abstract: International audience; Tracking the pH variation of intracellular vesicles throughout the endocytosis pathway is of prior importance to better assess the cell trafficking and metabolism of cells. Small molecular fluorescent pH probes are valuable tools in bioimaging but are generally not targeted to intracellular vesicles or are directly targeted to acidic lysosomes, thus not allowing the dynamic observation of the vesicular acidification. Herein, we designed Mem-pH, a fluorogenic ratiometric pH probe based on chromenoquinoline with appealing photophysical properties, which targets the plasma membrane (PM) of cells and further accumulates in the intracellular vesicles by endocytosis. The exposition of Mem-pH toward the vesicle's lumen allowed to monitor the acidification of the vesicles throughout the endocytic pathway and enabled the measurement of their pH via ratiometric imaging.
Published: 2022
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7. Prognostic value of contrast-enhanced MRI in Guillain–Barré syndrome in children

Author: F. Althubaiti, C. Guiomard, F. Rivier, P. Meyer, N. Leboucq, MORNET, Dominique, Hôpital Gui de Chauliac, Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), King Abdulaziz University, Physiologie & médecine expérimentale du Cœur et des Muscles [U 1046] (PhyMedExp), and Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)
Subjects: Male, [SDV.MHEP.PED]Life Sciences [q-bio]/Human health and pathology/Pediatrics, Adolescent, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Infant, Guillain-Barre Syndrome, Prognosis, Magnetic Resonance Imaging, Guillain–Barré syndrome, [SDV.MHEP.PED] Life Sciences [q-bio]/Human health and pathology/Pediatrics, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Child, Preschool, Pediatrics, Perinatology and Child Health, Spinal nerve root enhancement, Humans, Female, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Acute inflammatory polyradiculopathy, Child, Spinal Nerve Roots, Contrast-enhanced magnetic resonance imaging, Miller–Fisher syndrome, Retrospective Studies
Abstract: International audience; Background: : The aim of this retrospective study is to explore the prognostic value of different contrast enhancement imaging patterns in childhood Guillain–Barré syndrome by comparing the clinical, laboratory, and therapeutic outcomes.Methods: : We included a total of 37 patients who were diagnosed and followed up by a pediatric neurology team at Montpellier University Hospital between 2000 and 2016. All images were reinterpreted by the first author and a senior pediatric neuroradiology staff member in two different sessions; in the case of disagreement, the expert's reading was considered.Results: : The study group comprised 22 (59.5%) boys and 15 (40.5%) girls. The age ranged from 1.5 year to 14.8 years. Muscle weakness was present in 33 (89.2%) patients. Cranial nerves involvement was observed in 22 (59.5%) patients, while 29 (78.4%) patients had albuminocytological dissociation. In 27 (73%) patients, contrast enhancement or thickening of the lumbosacral nerve roots was found. Simultaneous spinal nerve root and cranial nerve enhancement was noted in five (17.2%) patients, while isolated cranial nerve enhancement was identified in three (10.3%) patients. Clinical and radiological cranial nerve involvement was found in seven (18.9%) patients, while isolated clinical cranial nerves involvement occurred in 13 (35.1%) patients. No significant correlation between different magnetic resonance imaging (MRI) enhancement patterns and short-term or long-term outcomes was found in our cohort.Conclusion: : Contrast-enhanced brain and spinal MRI is a sensitive and recommended supportive test for diagnosing acute inflammatory polyradiculopathy in children. Its predictive value for clinical, and therapeutic outcomes in the short or long term has not yet been proved
Published: 2022
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8. Diagnostic performance of 18 F‐FDG‐PET/CT in inflammation of unknown origin: A clinical series of 317 patients

Author: Jan Holubar, Jonathan Broner, Erik Arnaud, Olivier Hallé, Thibault Mura, Benjamin Chambert, Albert Sotto, Camille Roubille, Cecile Gaujoux‐Viala, Radjiv Goulabchand, Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), Université de Montpellier (UM), Physiologie & médecine expérimentale du Cœur et des Muscles [U 1046] (PhyMedExp), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Institut Desbrest de santé publique (IDESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Cellules Souches, Plasticité Cellulaire, Médecine Régénératrice et Immunothérapies (IRMB), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), and MORNET, Dominique
Subjects: obesity, Fever of unknown origin, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Polymyalgia Rheumatica, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, PET-CT, arteritis, Internal Medicine, nflammation of unknown origin
Abstract: International audience; Background: Inflammation of unknown origin (IUO) is a challenging situation in internal medicine.Objectives: To describe the final diagnoses in IUO and assess the helpfulness of 18F-fluorodesoxyglucose positron emission tomography with computerized tomography (18F-FDG-PET/CT) in the diagnosis strategy.Results: A total of 317 IUO patients with 18F-FDG-PET/CT were enrolled. A diagnosis was reached in 228 patients: noninfectious inflammatory diseases (NIID) (37.5%), infectious diseases (18.6%), malignancies (7.9%), and non-systemic-inflammatory miscellaneous diseases (7.9%). The two leading causes of NIID were polymyalgia rheumatica and giant cell arteritis. 18F-FDG-PET/CT results were classified as true positive in 49.8% of patients and contributory in 75.1% of overall IUO patients (after the complete investigation set and a prolonged follow-up). In multivariate analysis, only C-reactive protein minimum level (≥50 mg/L) was associated with the contributory status of 18F-FDG-PET/CT.Conclusion: Within the wide spectrum of IUO underlying diseases, 18F-FDG-PET/CT is helpful to make a diagnosis and to eliminate inflammatory diseases. Obese patients constitute a specific group needing further studies
Published: 2022
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9. High-Relaxivity Molecular MRI Contrast Agent to Target Gb3-Expressing Cancer Cells

Author: Stéphanie Deville-Foillard, Anne Billet, Rose-Marie Dubuisson, Ludger Johannes, Philippe Durand, Frédéric Schmidt, Andreas Volk, Institut de Chimie des Substances Naturelles (ICSN), Institut de Chimie du CNRS (INC)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Chimie biologique des membranes et ciblage thérapeutique (CBMCT - UMR 3666 / U1143), Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), LaBoratoire d'Imagerie biOmédicale MultimodAle Paris-Saclay (BIOMAPS), Service Hospitalier Frédéric Joliot (SHFJ), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Chimie et modélisation pour la biologie du cancer (CMBC), Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), ANR-11-INBS-0006,FLI,France Life Imaging(2011), ANR-11-LABX-0038,CelTisPhyBio,Des cellules aux tissus: au croisement de la Physique et de la Biologie(2011), ANR-10-IDEX-0001,PSL,Paris Sciences et Lettres(2010), Deville-Foillard, Stephanie, Infrastructures - France Life Imaging - - FLI2011 - ANR-11-INBS-0006 - INBS - VALID, Des cellules aux tissus: au croisement de la Physique et de la Biologie - - CelTisPhyBio2011 - ANR-11-LABX-0038 - LABX - VALID, and Initiative d'excellence - Paris Sciences et Lettres - - PSL2010 - ANR-10-IDEX-0001 - IDEX - VALID
Subjects: Pharmacology, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.CAN] Life Sciences [q-bio]/Cancer, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Organic Chemistry, Biomedical Engineering, Contrast Media, Pharmaceutical Science, [CHIM.COOR]Chemical Sciences/Coordination chemistry, [SDV.CAN]Life Sciences [q-bio]/Cancer, Bioengineering, [CHIM.COOR] Chemical Sciences/Coordination chemistry, Biotechnology
Abstract: International audience; Targeted contrast agents (CAs) can improve magnetic resonance imaging (MRI) for accurate cancer diagnosis. In this work, we used the Shiga toxin B-subunit (STxB) as a targeting agent, which binds to Gb3, a glycosphingolipid highly overexpressed on the surface of tumor cells. We developed STxB-targeted MRI probes from cyclic peptide scaffolds functionalized with six to nine monoamide DO3A[Gd(III)] chelates. The influence of structural constraints on the longitudinal relaxivity ($r_1$) of the CAs has been studied. The cyclic peptide carrying nine monoamide DO3A[Gd(III)] exhibited a r1 per compound of 32 and 93 mM$^{–1}$s$^{–1}$ at 9.4 and 1.5 T, respectively. Its conjugation to the pentameric STxB protein led to a 70 kDa compound with a higher $r_1$ of 150 and 475 mM$^{–1}$ s$^{–1}$ at 9.4 and 1.5 T, respectively. Specific accumulation and cellular distribution of this conjugate in Gb3-expressing cancer cells were demonstrated using immunofluorescence microscopy and quantified by an inductively coupled plasma–mass spectrometry dosage of Gd(III). Such an agent should enable the in vivo detection by MRI of tumors expressing Gb3 receptors.
Published: 2022
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10. Accelerated sodium MRI using undersampled 3D SPARKLING at 7T

Author: Porciuncula Baptista, Renata, Naudin, Mathieu, Giliyar Radhakrishna, Chaithya, Daval-Frérot, Guillaume, Mauconduit, Franck, Haeger, Alexa, Romanzetti, Sandro, Lapert, Marc, Ciuciu, Philippe, Rabrait-Lerman, Cécile, Guillevin, Remy, Vignaud, Alexandre, Boumezbeur, Fawzi, Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Building large instruments for neuroimaging: from population imaging to ultra-high magnetic fields (BAOBAB), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS), Laboratoire commun Imagerie Métabolique Multi-Noyaux Multi-Organes (I3M), Université de Poitiers-Centre hospitalier universitaire de Poitiers (CHU Poitiers)-Centre National de la Recherche Scientifique (CNRS)-Siemens Healthineers, Digital Services, Digital Technology and Innovation, Data Analysis and Computations Through Imaging Modeling-Mathématiques, Imagerie, Santé (DACTIM-MIS), Laboratoire de Mathématiques et Applications (LMA-Poitiers), Université de Poitiers-Centre National de la Recherche Scientifique (CNRS)-Université de Poitiers-Centre National de la Recherche Scientifique (CNRS), Modèles et inférence pour les données de Neuroimagerie (MIND), IFR49 - Neurospin - CEA, Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Siemens Healthineers [Saint-Denis], Baobab, Département PEGASE [LBBE] (PEGASE), Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Universitätsklinikum RWTH Aachen - University Hospital Aachen [Aachen, Germany] (UKA), Rheinisch-Westfälische Technische Hochschule Aachen University (RWTH), Leducq Foundation (large equipment ERPT program, 360 NEUROVASC7T project), the HPC resources of IDRIS under the allocation 2021-AD011011153 made by GENCI, European Project: 800945,NUMERICS, Ciuciu, Philippe, and International PhD programme in NUMERICal Simulation - NUMERICS - 0000-00-00 - 0000-00-00 - 800945 - VALID
Subjects: SPARKLING, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences, $^{23}$Na, UHF, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, human brain, [SDV.NEU.SC] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences, TSC, compressed sensing
Abstract: Submitted to Magnetic Resonance in Medicine; Purpose: To evaluate the benefits of SPARKLING, a stochastic k-space sampling approach over the deterministic sampling scheme TPI (Twisted Projection Imaging) in the context of accelerated cerebral $^{23}$Na MRI and assessing its impact on tissue sodium concentration (TSC) estimation.Methods: Guided by simulation results, in vitro and in vitro UTE $^{23}$Na MRI datasets were acquired at a 4 mm isotropic resolution from healthy volunteers using both TPI or SPARKLING trajectories with different acceleration factors (AF) on a 7T MR scanner equipped with a 32 channels head coil. Following reconstruction using NUFFT or Proximal Optimized Gradient Method (POGM) algorithms with or without regularization, respectively, the resulting sodium images were compared in terms of effective resolution (FWHM of the PSF), SNR and overall quality. with an in vitro assement of the accuracy of the TSC was performed via external referencing using a 4-point calibration approach. Results: In vivo cerebral sodium images acquired using SPARKLING with an acceleration factor of 32 (TA= 5 min 38 s) are similar to those obtained using TPI at AF=8 (TA= 22 min 34 s) with minimal impact on the accuracy of our TSC quantification. Conclusion: In conditions compatible with clinical examination, undersampled SPARKLING $^{23}$Na MRI can outperform the conventional TPI k-space sampling scheme allowing for shorter acquisition times.
Published: 2023

11. Use of metal-based contrast agents for in vivo MR and CT imaging of phagocytic cells in neurological pathologies

Author: Marlène Wiart, Clément Tavakoli, Violaine Hubert, Inès Hristovska, Chloé Dumot, Stéphane Parola, Frédéric Lerouge, Fabien Chauveau, Emmanuelle Canet-Soulas, Olivier Pascual, David P. Cormode, Emmanuel Brun, Hélène Elleaume, Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Synchrotron Radiation for Biomedicine = Rayonnement SynchroTROn pour la Recherche BiomédicalE (STROBE), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA), Institut NeuroMyoGène (INMG), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Synaptopathies et Autoanticorps [Lyon] (SynatAc), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Hospices Civils de Lyon, Departement de Neurologie (HCL), Laboratoire de Chimie - UMR5182 (LC), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), University of Pennsylvania, ANR-18-CE19-0003,BREAKTHRU,Développement de l'imagerie bicolore à l'aide d'un scanner X spectral à comptage de photons pour l'évaluation in-vivo de thérapies cellulaires(2018), ANR-15-CE18-0026,NanoBrain,Imagerie de l'inflammation cérébrale dans l'AVC ischémique : développement d'une sonde nanoparticulaire multimodale & méthodes d'imagerie cérébrale(2015), European Project: 668142,H2020,H2020-PHC-2015-two-stage,SPCCT(2016), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Wiart, Marlene, APPEL À PROJETS GÉNÉRIQUE 2018 - Développement de l'imagerie bicolore à l'aide d'un scanner X spectral à comptage de photons pour l'évaluation in-vivo de thérapies cellulaires - - BREAKTHRU2018 - ANR-18-CE19-0003 - AAPG2018 - VALID, Imagerie de l'inflammation cérébrale dans l'AVC ischémique : développement d'une sonde nanoparticulaire multimodale & méthodes d'imagerie cérébrale - - NanoBrain2015 - ANR-15-CE18-0026 - AAPG2015 - VALID, and In Vivo Spectral Photon Counting CT Molecular Imaging in Cardio- and Neuro-Vascular Diseases - SPCCT - - H20202016-01-01 - 2019-12-31 - 668142 - VALID
Subjects: Phagocytes, Phagocytic cells, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, General Neuroscience, Metal-based nanoparticles, Contrast Media, Gadolinium, Contrast agents, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Magnetic resonance imaging, Humans, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Nervous System Diseases, Tomography, X-Ray Computed, Computed tomography, Neurological diseases
Abstract: International audience; The activation of phagocytic cells is a hallmark of many neurological diseases. Imaging them in their 3-dimensional cerebral environment over time is crucial to better understand their role in disease pathogenesis and to monitor their potential therapeutic effects. Phagocytic cells have the ability to internalize metal-based contrast agents both in vitro and in vivo and can thus be tracked by magnetic resonance imaging (MRI) or computed tomography (CT). In this review article, we summarize the different labelling strategies, contrast agents, and in vivo imaging modalities that can be used to monitor cells with phagocytic activity in the central nervous system using MRI and CT, with a focus on clinical applications. Metal-based nanoparticle contrast agents such as gadolinium, gold and iron are ideal candidates for these applications as they have favourable magnetic and/or radiopaque properties and can be fine-tuned for optimal uptake by phagocytic cells. However, they also come with downsides due to their potential toxicity, especially in the brain where they might accumulate. We therefore conclude our review by discussing the pitfalls, safety and potential for clinical translation of these metal-based neuroimaging techniques. Early results in patients with neuropathologies such as multiple sclerosis, stroke, trauma, cerebral aneurysm and glioblastoma are promising. If the challenges represented by safety issues are overcome, phagocytic cells imaging will be a very valuable tool for studying and understanding the inflammatory response and evaluating treatments that aim at mitigating this response in patients with neurological diseases.
Published: 2023
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12. Novel ion imaging concept based on time-of-flight measurements with low gain avalanche detectors

Author: Ulrich-Pur, Felix, Bergauer, Thomas, Hirtl, Albert, Irmler, Christian, Kaser, Stefanie, Pitters, Florian, Rit, Simon, HEP, INSPIRE, GSI Helmholtzzentrum für Schwerionenforschung (GSI), Austrian Academy of Sciences (OeAW), Vienna University of Technology (TU Wien), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: [PHYS.PHYS.PHYS-MED-PH] Physics [physics]/Physics [physics]/Medical Physics [physics.med-ph], Physics - Instrumentation and Detectors, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, FOS: Physical sciences, Instrumentation and Detectors (physics.ins-det), Image reconstruction in medical imaging, Physics - Medical Physics, [PHYS] Physics [physics], [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Instrumentation for hadron therapy, [PHYS.PHYS.PHYS-INS-DET] Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], Accelerator applications, [PHYS.PHYS.PHYS-MED-PH]Physics [physics]/Physics [physics]/Medical Physics [physics.med-ph], Medical Physics (physics.med-ph), [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], ddc:610, Instrumentation, Mathematical Physics
Abstract: Journal of Instrumentation 18(02), C02062 (2023). doi:10.1088/1748-0221/18/02/C02062, Published by Inst. of Physics, London
Published: 2023
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13. Structural imaging and characterization of the arterial wall and its perivascular adipose tissue

Author: Ben Zemzem, Aïcha, Vanalderwiert, Laetitia, Liang, Xiaowen, Blaise, Sébastien, Weitkamp, Timm, Dauchez, Manuel, Passat, Nicolas, Debelle, Laurent, Almagro, Sébastien, and Passat, Nicolas
Subjects: [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging
Published: 2023

14. Un nouveau regard sur les épées à poignée métallique de l’âge du Bronze à la lumière des rayons X

Author: Dumont, Léonard and Dumont, Léonard
Subjects: Bronze Age, Tomographie, Âge du Bronze, [SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Metallurgy, Armement, CT-scan, Métallurgie, Weaponry
Abstract: Les épées de l’âge du Bronze, a fortiori celles à poignée métallique, figurent parmi les objets les mieux documentés de la période, avec un grand nombre d’études réalisées à l’échelle européenne depuis la fin du XIXe siècle. Malgré tout, l’emploi de techniques d’imagerie utilisant les rayons X, telles que la radiographie et la tomographie, permettent de porter un regard nouveau sur ces armes grâce à l’examen de leurs entrailles qui révèlent certaines techniques mises en place par les artisans pour leur production. Ces épées sont en effet des objets complexes formés de plusieurs pièces agencées à l’aide de techniques variées, pour lesquelles les artisans de l’âge du Bronze se sont montrés très ingénieux. Malgré l’emploi de la radiographie dès les années 1950 pour étudier les techniques de production de ces épées, l’utilisation des techniques d’imagerie est restée relativement limitée en dehors de l’Allemagne. Aujourd’hui, les techniques de radiographie et de tomographie permettent d’étendre considérablement les possibilités offertes par ce type d’analyse. Il est ainsi beaucoup plus aisé d’observer la structure interne des objets étudiés. Les modèles 3D issus des examens de tomographie ouvrent par ailleurs la porte à de nombreuses analyses, de la simulation numérique de coulée à la visualisation de surfaces jusqu’alors inaccessibles en passant par une quantification de la porosité de certaines zones. Nous nous proposons ici de faire le point de plus de quatre ans de recherches sur les techniques de production des épées à poignée métallique de l’âge du Bronze européen. L’étude technologique permet d’obtenir un regard nouveau sur de nombreuses problématiques chères aux archéologues telles que la restitution de la chaîne opératoire, l’organisation de la production, les modalités de diffusion des produits finis, par exemple à travers la mobilité des artisans ou des producteurs, ou encore la question de l’utilisation qui était faite de ces armes. Nous aborderons également la question de l’identification des faux et copies. Dans la mesure où les épées ont été et restent des objets prisés par les musées et les collectionneurs, de nombreuses reproductions et contrefaçons ont été réalisées depuis le XIXe siècle, dont l’identification n’est pas toujours aisée.
Published: 2023

15. Interpretability of Machine Learning Methods Applied to Neuroimaging

Author: Elina Thibeau-Sutre, Sasha Collin, Ninon Burgos, Olivier Colliot, Colliot, Olivier, PaRis Artificial Intelligence Research InstitutE - - PRAIRIE2019 - ANR-19-P3IA-0001 - P3IA - VALID, Institut de Neurosciences Translationnelles de Paris - - IHU-A-ICM2010 - ANR-10-IAHU-0006 - IAHU - VALID, Olivier Colliot, Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019), and ANR-10-IAHU-0006,IHU-A-ICM,Institut de Neurosciences Translationnelles de Paris(2010)
Subjects: FOS: Computer and information sciences, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Computer Science - Machine Learning, Computer Science - Artificial Intelligence, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, Neuroimaging, Quantitative Biology - Quantitative Methods, Machine Learning (cs.LG), [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], Machine learning, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Interpretability, Brain disorders, Quantitative Methods (q-bio.QM), [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Saliency, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Deep learning, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Artificial Intelligence (cs.AI), [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], FOS: Biological sciences, Quantitative Biology - Neurons and Cognition, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Neurons and Cognition (q-bio.NC), [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract: International audience; Deep learning methods have become very popular for the processing of natural images, and were then successfully adapted to the neuroimaging field. As these methods are non-transparent, interpretability methods are needed to validate them and ensure their reliability. Indeed, it has been shown that deep learning models may obtain high performance even when using irrelevant features, by exploiting biases in the training set. Such undesirable situations can potentially be detected by using interpretability methods. Recently, many methods have been proposed to interpret neural networks. However, this domain is not mature yet. Machine learning users face two major issues when aiming to interpret their models: which method to choose, and how to assess its reliability? Here, we aim at providing answers to these questions by presenting the most common interpretability methods and metrics developed to assess their reliability, as well as their applications and benchmarks in the neuroimaging context. Note that this is not an exhaustive survey: we aimed to focus on the studies which we found to be the most representative and relevant.
Published: 2023

16. Comparison of magnetic resonance imaging and computed tomography for bone assessment of neurogenic heterotopic ossification of the hip: a preliminary study

Author: Raphaël Amar, Tristan Thiry, Marjorie Salga, Dominique Safa, Annaëlle Chetrit, Laure Gatin, Robert-Yves Carlier, Hôpital Raymond Poincaré [AP-HP], Handicap neuromusculaire : Physiopathologie, Biothérapie et Pharmacologies appliquées (END-ICAP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM), We thank Julie Poujol (MR Clinical Scientist), Julien Bouvier (Zone Clinical Leader) and Pierre-Frederic Bourcier (MR Clinical Leader Neuro and MSK) from General Electrics Healthcare. We also thank Dr Nawal Derridj-Ait-Younes and her team from the Unit? de Recherche Clinique of H?pital Ambroise Par?., and HAL UVSQ, Équipe
Subjects: Adult, Male, [SDV.MHEP.CHI] Life Sciences [q-bio]/Human health and pathology/Surgery, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Neurogenic heterotopic ossification, [SDV.MHEP.CHI]Life Sciences [q-bio]/Human health and pathology/Surgery, Diseases of the musculoskeletal system, Zero Echo Time, Magnetic resonance imaging, Humans, Orthopedics and Sports Medicine, Prospective Studies, Aged, Orthopedic surgery, [SDV.MHEP.RSOA] Life Sciences [q-bio]/Human health and pathology/Rhumatology and musculoskeletal system, Hip, Ossification, Heterotopic, Femur Head, Middle Aged, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.MHEP.RSOA]Life Sciences [q-bio]/Human health and pathology/Rhumatology and musculoskeletal system, RC925-935, Female, Surgery, Tomography, X-Ray Computed, RD701-811, Research Article
Abstract: Background Neurogenic heterotopic ossification (NHO) is a frequent complication, often involving the hip. The functional impact may require surgical management and pre-surgical imaging assessment is necessary, usually by computed tomography (CT). We aimed to compare the performances of magnetic resonance imaging (MRI) and CT for bone assessment on pre-surgical imaging of the heterotopic ossifications and their features in NHO of the hip. Methods This single-center prospective preliminary study included all patients who underwent surgery for NHO with joint limitation from July 2019 to March 2020. All patients had a CT after biphasic iodinated solution injection and an MRI including T1-weighted, STIR and ZTE sequences. Standardized reports were completed for both exams for each patient, evaluating location, implantation and fragmentation of NHO, relation to the joint capsule and bone mineralization, then were compared. Results Seven patients from 32 to 70 years old (mean = 50.2 ± 17.2 years) were evaluated. NHO were bilateral in 2 patients, for a total of nine hips: six right hips and three left hips. Observed concordance rates between MRI and CT were, respectively, 94.4% for location, 100% for circumferential extension, 87.3% for implantation 88.9% for fragmentation, 77.8% for relation to the joint capsule and 66.7% for bone mineralization. It was 100% for femoral neck fracture and osteonecrosis of the femoral head. Conclusion This preliminary study suggests that pre-surgical MRI imaging should be considered as effective as CT for bone assessment of NHO and their features. Trial registration: ClinicalTrials.gov, NCT03832556. Registered February 6, 2019, https://clinicaltrials.gov/ct2/show/NCT03832556.
Published: 2021
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17. Accelerated sequences of 4D flow MRI using GRAPPA and compressed sensing

Author: Garreau, Morgane, Puiseux, Thomas, Toupin, Solenn, Giese, Daniel, Mendez, Simon, Nicoud, Franck, Moreno, Ramiro, ALARA group, Institut Montpelliérain Alexander Grothendieck (IMAG), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Institut des Maladies Métaboliques et Casdiovasculaires (UPS/Inserm U1297 - I2MC), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Siemens Healthcare [France], Siemens AG [Munich], Siemens Healthcare, and Mendez, Simon
Subjects: MRI - Magnetic Resonance Imaging, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [PHYS.MECA.MEFL] Physics [physics]/Mechanics [physics]/Fluid mechanics [physics.class-ph], computational fluid dynamics, [PHYS.MECA.MEFL]Physics [physics]/Mechanics [physics]/Fluid mechanics [physics.class-ph], compressed sensing
Abstract: International audience; To evaluate hemodynamic markers obtained by accelerated GRAPPA (R = 2, 3, 4) and compressed sensing (R = 7.6) 4D flow MRI sequences under complex flow conditions. Methods: The accelerated 4D flow MRI scans were performed on a pulsatile flow phantom, along with a nonaccelerated fully sampled k-space acquisition. Computational fluid dynamics simulations based on the experimentally measured flow fields were conducted for additional comparison. Voxel-wise comparisons (Bland-Altman analysis, L 2-norm metric), as well as nonderived quantities (velocity profiles, flow rates, and peak velocities), were used to compare the velocity fields obtained from the different modalities. Results: 4D flow acquisitions and computational fluid dynamics depicted similar hemodynamic patterns. Voxel-wise comparisons between the MRI scans highlighted larger discrepancies at the voxels located near the phantom's boundary walls. A trend for all MR scans to overestimate velocity profiles and peak velocities as compared to computational fluid dynamics was noticed in regions associated with high velocity or acceleration. However, good agreement for the flow rates was observed, and eddy-current correction appeared essential for consistency of the flow rates measurements with respect to the principle of mass conservation. Conclusion: GRAPPA (R = 2, 3) and highly accelerated compressed sensing showed good agreement with the fully sampled acquisition. Yet, all 4D flow MRI scans were hampered by artifacts inherent to the phase-contrast acquisition procedure. Computational fluid dynamics simulations are an interesting tool to assess these differences but are sensitive to modeling parameters.
Published: 2022
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18. 4D flow MRI in abdominal vessels: prospective comparison of k-t accelerated free breathing acquisition to standard respiratory navigator gated acquisition

Author: Bane, Octavia, Stocker, Daniel, Kennedy, Paul, Hectors, Stefanie J, Bollache, Emilie, Schnell, Susanne, Schiano, Thomas, Thung, Swan, Fischman, Aaron, Markl, Michael, Taouli, Bachir, Bollache, Emilie, Icahn School of Medicine at Mount Sinai [New York] (MSSM), Laboratoire d'Imagerie Biomédicale (LIB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Northwestern University [Evanston], Universität Greifswald - University of Greifswald, University of Zurich, and Bane, Octavia
Subjects: 1000 Multidisciplinary, Imaging, Three-Dimensional, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Multidisciplinary, 10042 Clinic for Diagnostic and Interventional Radiology, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Abdomen, Humans, Reproducibility of Results, 610 Medicine & health, Middle Aged, Image Enhancement, Magnetic Resonance Imaging
Abstract: Volumetric phase-contrast magnetic resonance imaging with three-dimensional velocity encoding (4D flow MRI) has shown utility as a non-invasive tool to examine altered blood flow in chronic liver disease. Novel 4D flow MRI pulse sequences with spatio-temporal acceleration can mitigate the long acquisition times of standard 4D flow MRI, which are an impediment to clinical adoption. The purpose of our study was to demonstrate feasibility of a free-breathing, spatio-temporal (k−t) accelerated 4D flow MRI acquisition for flow quantification in abdominal vessels and to compare its image quality, flow quantification and inter-observer reproducibility with a standard respiratory navigator-gated 4D flow MRI acquisition. Ten prospectively enrolled patients (M/F: 7/3, mean age = 58y) with suspected portal hypertension underwent both 4D flow MRI acquisitions. The k−t accelerated acquisition was approximately three times faster (3:11 min ± 0:12 min/9:17 min ± 1:41 min, p
Published: 2022
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19. Trident: A dual oxygenation and fluorescence imaging platform for real-time and quantitative surgical guidance

Author: Silvère Ségaud, Luca Baratelli, Eric Felli, Elisa Bannone, Lorenzo Cinelli, María Rita Rodríguez-Luna, Nariaki Okamoto, Deborah S Keller, Michel de Mathelin, Sylvain Lecler, Michele Diana, Sylvain Gioux, Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), l'Institut de Recherche contre les Cancers de l'Appareil Digestif (IRCAD), Università degli studi di Verona = University of Verona (UNIVR), Ospedale San Raffaele, University of California (UC), Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA), ANR-18-CE19-0026,LiverSURG,Imagerie Optique Quantitative pour la Chirurgie du Foie(2018), univOAK, Archive ouverte, and APPEL À PROJETS GÉNÉRIQUE 2018 - Imagerie Optique Quantitative pour la Chirurgie du Foie - - LiverSURG2018 - ANR-18-CE19-0026 - AAPG2018 - VALID
Subjects: [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.MHEP.CHI] Life Sciences [q-bio]/Human health and pathology/Surgery, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, General Medicine, [SDV.MHEP.CHI]Life Sciences [q-bio]/Human health and pathology/Surgery
Abstract: Despite recent technological progress in surgical guidance, current intraoperative assessment of tissue that should be removed (e.g., cancer) or avoided (e.g., nerves) is still performed subjectively. Optical imaging is a non-contact, non-invasive modality that has the potential to provide feedback regarding the condition of living tissues by imaging either an exogenously administered contrast agent or endogenous constituents such as hemoglobin, water, and lipids. As such, optical imaging is an attractive modality to provide physiologically and structurally relevant information for decision-making in real-time during surgery. The Trident imaging platform has been designed for real-time surgical guidance using state-of-the-art optical imaging. This platform is capable of dual exogenous and endogenous imaging owing to a unique filter and source combination, allowing to take advantage of both imaging modalities. This platform makes use of a real-time and quantitative imaging method working in the spatial frequency domain, called Single Snapshot imaging of Optical Properties (SSOP). The Trident imaging platform is designed to comply with all relevant standards for clinical use. In this manuscript, we first introduce the rationale for developing the Trident imaging platform. We then describe fluorescence and endogenous imaging modalities where we present the details of the design, assess the performance of the platform on the bench. Finally, we perform the validation of the platform during an in vivo preclinical experiment. Altogether, this work lays the foundation for translating state-of-the-art optical imaging technology to the clinic.
Published: 2022
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20. Development and implementation of a concept for automatic patient-specific DBS parameter identification

Author: Rickert, Eli, Hemm-Ode, Simone, Coste, Jerome, Vogel, Dorian, Institute for Medical and Analytical Technologies, School of Life Sciences (IMAT), University of Applied Sciences and Arts Northwestern Switzerland (HES-SO), Department of Biomedical Engineering [Linköping], Linköping University (LIU), Institut Pascal (IP), Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)-Institut national polytechnique Clermont Auvergne (INP Clermont Auvergne), Université Clermont Auvergne (UCA)-Université Clermont Auvergne (UCA), CHU Clermont-Ferrand, University of Applied Sciences and Arts Northwestern Switzerland, School of Life Sciences, Prof Karin Wårdell, Neuroengineering group, Linköping University, Funded by Swedish Foundation for Strategic Research, Vetenskapsrådet the Swedish Research Council, Region Östergötland ALF, and Coste, Jérôme
Subjects: [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, [SDV.NEU.NB] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
Abstract: International audience
Published: 2022

21. Méthodes d'intégration sémantique de données patients multi domaines dans des architectures d'entrepôts de données de santé : une approche orientée cas d'usage

Author: Lemordant, Pierre, Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Rennes, Bernard Gibaud, Marc Cuggia, and STAR, ABES
Subjects: Intégration sémantique, Entrepôt de données de santé, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Imagerie, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Semantic integration, Imaging, Clinical data warehouse
Abstract: In the field of medical imaging, technical (data storage, imaging modalities, etc.) and methodological (personalised medicine, evolution of diagnostic and interventional imaging, etc.) developments over the last few decades have raised major challenges concerning the use of imaging in care and research, particularly the secondary use of this data source. The objective of this work was to develop methods to integrate and reuse this imaging data in a clinical data warehouse solution and to implement this semantic integration in the framework of the warehouse solution developed in our laboratory. In this work, we studied tools and methods for local terminology alignment with reference terminology to enable the reuse and sharing of imaging data. We designed a proof of concept for an imaging classification tool using ontological reasoning. Finally, we developed and deployed a prototype module for semantic integration of imaging data to manage the data path from the PACS to the clinical data warehouse., Dans le domaine de l’imagerie médicale, les évolutions techniques (stockage de données, modalités d’imagerie, …) et méthodologiques (médecine personnalisée, évolution de l’imagerie diagnostique et interventionnelle, …) des dernières décennies ont fait apparaître des enjeux majeurs concernant l’usage de l’imagerie dans le soin et dans la recherche, notamment de l’utilisation secondaire de cette source de données. L’objectif de cette thèse a été de développer des méthodes afin de rendre intégrables et réutilisables ces données d’imagerie dans une solution d’entrepôt de données de santé et de mettre en œuvre cette intégration sémantique dans le cadre concret de la solution d’entrepôt développée dans notre laboratoire. Dans ce travail, nous avons étudié les outils et méthodes d’alignement de terminologie locales et de références pour permettre la réutilisation et le partage des données d’imagerie. Nous avons conçu une preuve de concept d’outil de classification des examens d’imagerie utilisant le raisonnement ontologique. Enfin, nous avons développé et déployé un prototype de module d’intégration sémantique des données d’imagerie permettant de gérer le trajet des données depuis le PACS jusqu’à l’entrepôt.
Published: 2022

22. Microbubble-assisted ultrasound for imaging and therapy of melanoma skin cancer: A systematic review

Author: François Avry, Coralie Mousset, Edward Oujagir, Ayache Bouakaz, Valérie Gouilleux-Gruart, Rose-Anne Thépault, Sylvaine Renault, Sylviane Marouillat, Laurent Machet, Jean-Michel Escoffre, Imagerie et cerveau (iBrain - Inserm U1253 - UNIV Tours ), Université de Tours (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), Groupe innovation et ciblage cellulaire (GICC), EA 7501 [2018-...] (GICC EA 7501), Université de Tours (UT), Centre de Recherche en Cancérologie et Immunologie Intégrée Nantes-Angers (CRCI2NA ), Université d'Angers (UA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Nantes Université - UFR de Médecine et des Techniques Médicales (Nantes Univ - UFR MEDECINE), Nantes Université - pôle Santé, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Santé, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ), and Escoffre, Jean-Michel
Subjects: therapy, Microbubbles, Skin Neoplasms, Acoustics and Ultrasonics, Radiological and Ultrasound Technology, ultrasound, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Biophysics, microbubble, Contrast Media, imaging, [SDV.CAN]Life Sciences [q-bio]/Cancer, [SDV.SP]Life Sciences [q-bio]/Pharmaceutical sciences, [SDV.SP] Life Sciences [q-bio]/Pharmaceutical sciences, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.CAN] Life Sciences [q-bio]/Cancer, drug delivery, Humans, Radiology, Nuclear Medicine and imaging, Melanoma, Ultrasonography
Abstract: International audience; Recent technological developments in ultrasound (US) imaging and ultrasound contrast agents (UCAs) have improved the diagnostic confidence in echography. In the clinical management of melanoma, contrast-enhanced ultrasound (CEUS) imaging complements conventional US imaging (i.e., high-resolution US and Doppler imaging) for clinical examination and therapeutic follow-up. These developments have set into motion the combined use of ultrasound and UCAs as a new modality for drug delivery. This modality, called sonoporation, has emerged as a noninvasive, targeted, and safe method for the delivery of therapeutic drugs into melanoma. This review focuses on the results and prospects of using US and UCAs as dual modalities for CEUS imaging and melanoma treatment.
Published: 2022
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23. Evaluation of ultrasound scattering models adapted for two types of scatterers to extract scatterer parameters from cell-pellet biophantoms

Author: Muleki Seya, Pauline, Han, Aiguo, O'Brien, William, MULEKI SEYA, PAULINE, Evaluation de la microstructure tissulaire et vasculaire par ultrasons des plaques d'athérosclérose carotidennes - - CARPUS2021 - ANR-21-CE19-0024 - AAPG2021 - VALID, Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), University of Illinois at Urbana-Champaign [Urbana], University of Illinois System, and ANR-21-CE19-0024,CARPUS,Evaluation de la microstructure tissulaire et vasculaire par ultrasons des plaques d'athérosclérose carotidennes(2021)
Subjects: [PHYS.PHYS.PHYS-MED-PH] Physics [physics]/Physics [physics]/Medical Physics [physics.med-ph], [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, cell pellet biophantoms, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Ultrasound scattering, [PHYS.PHYS.PHYS-MED-PH]Physics [physics]/Physics [physics]/Medical Physics [physics.med-ph], Scatterer parameters, [PHYS.MECA.ACOU] Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph], Quantitative ultrasound techniques, [PHYS.MECA.ACOU]Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph]
Abstract: International audience; Ultrasound backscatter coefficient allows the evaluation of tissue microstructure parameters. Scatterer parameters are then extracted using ultrasound scattering models. It is generally difficult to correlate the scatterer parameters to tissue structures from histology, possibly because of inappropriate scattering models or the presence of multiple scatterers. In previous work, we used an adaptation of the scattering Structure Factor Model (SFM) to take into account two types of scatterers (nuclei and cells) using a combination of SFM from nuclei and SFM from cells. Our results suggested the contribution of both nuclei and cells in the scattering. The objective of this study is to explore the possibility to extract coherent scatterer parameters with scattering models taking into account two types of scatterers: the adapted SFM for two scatterers' types and the concentric sphere model.
Published: 2022
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24. Shape-based features of white matter fiber-tracts associated with outcome in Major Depression Disorder

Author: Cury, Claire, Batail, Jean-Marie, Coloigner, Julie, Neuroimagerie: méthodes et applications (EMPENN), Institut National de la Santé et de la Recherche Médicale (INSERM)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-SIGNAL, IMAGE ET LANGAGE (IRISA-D6), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Centre Hospitalier Guillaume Régnier [Rennes], and Cury, Claire
Subjects: [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Depression, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [MATH.MATH-DG]Mathematics [math]/Differential Geometry [math.DG], [SCCO.NEUR]Cognitive science/Neuroscience, [SCCO.NEUR] Cognitive science/Neuroscience, Fibre bundles, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Computational Anatomy, [MATH.MATH-DG] Mathematics [math]/Differential Geometry [math.DG]
Abstract: International audience; Major depression is a leading cause of disability due to its trend to recurrence and treatment resistance. Currently, there are no biomarkers which could potentially identify patients with risk of treatment resistance. In this original paper, we propose a two-level shape analysis of the white matter bundles based on the Large Diffeomorphic Deformation Metric Mapping framework, to study treatment resistant depression. Fiber bundles are characterised via the deformation of their center line from a centroid shape. We developed two statistical analyses at a global and a local level to identify the most relevant bundles related to treatment resistant depression. Using a prospective longitudinal cohort including 63 patients. We applied this approach at baseline on 50 white matter fiber-tracts, to predict the clinical improvement at 6 months. Our results show a strong association between three bundles and the clinical improvement 6 months after. More precisely, the rightsided thalamo-occipital fascicle and optic radiations are the most robust followed by the splenium. The present study shows the interest in considering white matter shape in the context of depression, contributing to improve our understanding of neurobiological process of treatment resistance depression.
Published: 2022
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25. Progression models for imaging data with Longitudinal Variational Auto Encoders

Author: Benoît Sauty, Stanley Durrleman, Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU), Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), This work was funded in part by grant number 678304 (ERC) and 826421 (TVB-Cloud) from H2020 programme, and ANR-10-IAIHU-06 (IHU ICM), ANR-19-P3IA-0001 (PRAIRIE) and ANR-19-JPW2-000 (E-DADS) from ANR., ANR-10-IAHU-0006,IHU-A-ICM,Institut de Neurosciences Translationnelles de Paris(2010), ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019), ANR-19-JPW2-0002,E-DADS,Early Detection of Alzheimer's Disease Subtypes(2019), Sauty, Benoît, Institut de Neurosciences Translationnelles de Paris - - IHU-A-ICM2010 - ANR-10-IAHU-0006 - IAHU - VALID, PaRis Artificial Intelligence Research InstitutE - - PRAIRIE2019 - ANR-19-P3IA-0001 - P3IA - VALID, and Early Detection of Alzheimer's Disease Subtypes - - E-DADS2019 - ANR-19-JPW2-0002 - JPND - VALID
Subjects: [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Mixed-effects models, Disease progression models, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Alzheimer's Disease, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Variational Auto Encoders
Abstract: International audience; Disease progression models are crucial to understanding degenerative diseases. Mixed-effects models have been consistently used to model clinical assessments or biomarkers extracted from medical images, allowing missing data imputation and prediction at any timepoint. However, such progression models have seldom been used for entire medical images. In this work, a Variational Auto Encoder is coupled with a temporal linear mixed-effect model to learn a latent representation of the data such that individual trajectories follow straight lines over time and are characterised by a few interpretable parameters. A Monte Carlo estimator is devised to iteratively optimize the networks and the statistical model. We apply this method on a synthetic data set to illustrate the disentanglement between time dependant changes and inter-subjects variability, as well as the predictive capabilities of the method. We then apply it to 3D MRI and FDG-PET data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) to recover well documented patterns of structural and metabolic alterations of the brain.
Published: 2022

26. Nuclear Medicine and Artificial Intelligence:Best Practices for Evaluation (the RELAINCE Guidelines)

Author: Jha, Abhinav, Bradshaw, Tyler, Buvat, Irène, Hatt, Mathieu, Kc, Prabhat, Liu, Chi, Obuchowski, Nancy, Saboury, Babak, Slomka, Piotr, Sunderland, John, Wahl, Richard, Yu, Zitong, Zuehlsdorff, Sven, Rahmim, Arman, Boellaard, Ronald, Radiology and nuclear medicine, Amsterdam Neuroscience - Brain Imaging, Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), University of Wisconsin-Madison, Laboratoire d'Imagerie Translationnelle en Oncologie (LITO ), Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire de Traitement de l'Information Medicale (LaTIM), Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO), Center for Devices and Radiological Health, U.S. Food and Drug Administration (FDA), Yale University [New Haven], Cleveland Clinic, National Institutes of Health [Bethesda] (NIH), Cedars-Sinai Medical Center, University of Iowa [Iowa City], University of British Columbia (UBC), Amsterdam UMC - Amsterdam University Medical Center, and Buvat, Irène
Subjects: proof of concept, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, clinical utility, post-deployment monitoring, State of the Art, technical efficacy, PET, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Artificial Intelligence, SPECT, Clinical task-based evaluation, Radiology, Nuclear Medicine and imaging, Nuclear Medicine, Radionuclide Imaging, generalizability, Algorithms
Abstract: International audience; An important need exists for strategies to perform rigorous objective clinical-task-based evaluation of artificial intelligence (AI) algorithms for nuclear medicine. To address this need, we propose a 4-class framework to evaluate AI algorithms for promise, technical task-specific efficacy, clinical decision making, and postdeployment efficacy. We provide best practices to evaluate AI algorithms for each of these classes. Each class of evaluation yields a claim that provides a descriptive performance of the AI algorithm. Key best practices are tabulated as the RELAINCE (Recommendations for EvaLuation of AI for NuClear medicinE) guidelines. The report was prepared by the Society of Nuclear Medicine and Molecular Imaging AI Task Force Evaluation team, which consisted of nuclear-medicine physicians, physicists, computational imaging scientists, and representatives from industry and regulatory agencies.
Published: 2022
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27. Insights into the Responding Modes of Highly Potent Gadolinium-Based Magnetic Resonance Imaging Probes Sensitive to Zinc Ions

Author: Gaoji Wang, Harlei Martin, Susana Amézqueta, Clara Ràfols, Célia S. Bonnet, Goran Angelovski, Bonnet, Célia, Max Planck Institute for Biological Cybernetics, Max-Planck-Gesellschaft, JiangSu University, Centre de biophysique moléculaire (CBM), Université d'Orléans (UO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), and Universitat de Barcelona (UB)
Subjects: Ions, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Carboxylic Acids, Contrast Media, Tricarboxylic Acids, Water, Esters, Gadolinium, Serum Albumin, Human, [CHIM.COOR] Chemical Sciences/Coordination chemistry, Magnetic Resonance Imaging, Inorganic Chemistry, [CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistry, [CHIM.THEO] Chemical Sciences/Theoretical and/or physical chemistry, Zinc, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Humans, Tyrosine, [CHIM.COOR]Chemical Sciences/Coordination chemistry, Physical and Theoretical Chemistry, Amines, Chelating Agents
Abstract: International audience; Zinc ions (Zn 2+) play an important biological role in many diseases, hence an imaging method for monitoring the Zn 2+ distribution in tissues could provide important clinical insights. Recently, we reported a potent Zn-sensitive probe based on the Gd-DO3A (DO3A-1,4,7,10-tetraazacyclododecane-1,4,7-tricarboxylic acid), modified tyrosine and DPA (di-(2-picolyl)amine) chelator for this metal cation, which generates outstanding magnetic resonance imaging (MRI) response. Here we further explored the origin of this unprecedented response and expanded the choice of the potential MRI probes by preparing the free acid version of the initial MRI sensor. We report a detailed investigation of the 1 H nuclear magnetic relaxation dispersion (NMRD), 17 O NMR and isothermal titration calorimetry properties of these two MRI probes upon interacting with Zn 2+. The performed experiments confirm the selective interaction of the MRI probes and the target metal cation, which causes substantial changes in the coordination sphere of the paramagnetic center. It also evidenced some aggregation which enhances the relaxivity response. Interestingly, conversion of the methyl ester to the free carboxylic acid of tyrosine moiety changes the nature of the aggregates and leads to a smaller relaxivity response. The probes interact with human serum albumin (HSA) in the absence of Zn 2+ , which leads to a possible modification of the coordination sphere of Gd 3+ or a substantial change in the exchange rate of second sphere water molecules. In the presence of Zn 2+ , the interaction with HSA is very weak, demonstrating the importance of the Zn 2+ coordination sphere in the behavior of these systems.
Published: 2022
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28. Systematic MRI in persistent post-Covid-19 olfactory dysfunction should be reassessed

Author: Ioana Brudasca, Quentin Lisan, Romain Tournegros, Moustafa Bensafi, Camille Ferdenzi, Arnaud Fournel, Luna Denoix, Stéphane Tringali, Maxime Fieux, Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Hospices Civils de Lyon (HCL), Hôpital Foch [Suresnes], Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université de Lyon, Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Biomécanique & Appareil Respiratoire (BAR), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Ferdenzi, Camille
Subjects: [SDV.MHEP.ME] Life Sciences [q-bio]/Human health and pathology/Emerging diseases, [SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, imaging, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Otorhinolaryngology, [SDV.MHEP.OS] Life Sciences [q-bio]/Human health and pathology/Sensory Organs, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, [SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Immunology and Allergy, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.MHEP.OS]Life Sciences [q-bio]/Human health and pathology/Sensory Organs, olfactory disorder, olfaction
Abstract: International audience; Background: Magnetic resonance imaging (MRI) is the gold standard in the etiological assessment of a persistent olfactory dysfunction (OD). While the utility of imaging in COVID-19-related OD has yet to be established, MRI is recommended in all patients with persistent OD. The high prevalence of the latter after SARS-CoV-2 infection means evaluating this strategy is an important public health matter.Methods:The main objective was to examine the impact of systematic MRI on the management of patients with OD. All adult patients consulting for persistent OD (>2 months) after primary SARS-COV-2 infection (PCR) between March 2020 and December 2021 were included (n = 67). The secondary objective was to evaluate the relationship between the severity of the OD as measured by psychophysical testing (ETOC) and the volume of the olfactory bulb (OB) measured by MRI.Results: All patients underwent MRI, and none led to a change in diagnosis or treatment. Among them, 82% (55/67) were considered normal by the radiologist on initial interpretation. There were no significant differences (visual analysis or OB volume) between groups (mild, moderate, and severe hyposmia).Conclusion: Systematic MRI may be unnecessary in patients whose persistent OD began soon (a few days) after confirmed SARS-CoV-2 infection.
Published: 2022
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29. [18F]-FDG PET and MRI radiomic signatures to predict the risk and the location of tumor recurrence after re-irradiation in head and neck cancer

Author: Arnaud Beddok, Fanny Orlhac, Valentin Calugaru, Laurence Champion, Catherine Ala Eddine, Christophe Nioche, Gilles Créhange, Irène Buvat, Laboratoire d'Imagerie Translationnelle en Oncologie (LITO ), Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Curie [Orsay], Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris sciences et lettres (PSL), Institut Curie [Paris], Université Paris sciences et lettres (PSL), Institut Curie - Saint Cloud (ICSC), and Buvat, Irène
Subjects: re-irradiation, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, radiomics, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Radiology, Nuclear Medicine and imaging, head and neck cancer, multimodal imaging, General Medicine
Abstract: International audience; Purpose: To evaluate whether radiomics from [18F]-FDG PET and/or MRI before re-irradiation (reRT) of recurrent head and neck cancer (HNC) could predict the occurrence and the location "in-field" or "outside" of a second locoregional recurrence (LR). Methods: Among the 55 patients re-irradiated at curative intend for HNC from 2012 to 2019, 48 had an MRI and/or PET before the start of the reRT. Thirty-nine radiomic features (RF) were extracted from the reirradiated GTV (rGTV) using LIFEx software. Student t-tests and Spearman Correlation Coefficient were used to select the RF that best separate patients who recurred from those who did not, and "in-field" from "outside" recurrences. Principal component analysis involving these features only was used to create a prediction model. Leave-oneout cross-validation was performed to evaluate the models. Results: After a median follow-up of 17 months, 40/55 patients had developed a second LR, including 18 "in-field" and 22 "outside" recurrences. From pre-reRT MRI, a model based on three RF (GLSZM_SZHGLE, GLSZM_LGLZE and skewness) predicted whether patients would recur with a balanced accuracy (BA) of 83.5%. Another model from pre-reRT MRI based on three other RF (GLSZM_ LZHGE, NGLDM_Busyness and GLZLM_SZE) predicted whether patients would recur "in-field" or "outside" with a BA of 78.5%. From pre-reRT PET, a model based on four RF (Kurtosis, SUVbwmin, GLCM_Correlation and GLCM_Contrast) predicted the LR location with a BA of 84.5%. Conclusion: RF characterizing tumor heterogeneity extracted from pre-reRT PET and MRI predicted whether patients would recur, and whether they would recur "in-field" or "outside".
Published: 2022
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30. Combining neuroanatomical features to support diagnosis of fetal alcohol spectrum disorders

Author: Justine Fraize, Pauline Garzón, Alexandra Ntorkou, Eliot Kerdreux, Odile Boespflug‐Tanguy, Anita Beggiato, Richard Delorme, Lucie Hertz‐Pannier, Monique Elmaleh‐Berges, David Germanaud, Unité de recherche en NeuroImagerie Applicative Clinique et Translationnelle (UNIACT), Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Maladies neurodéveloppementales et neurovasculaires (NeuroDiderot (UMR_S_1141 / U1141)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Université Paris Cité (UPCité), Département de Radiologie Pédiatrique [AP-HP Hôpital Robert-Debré], AP-HP Hôpital universitaire Robert-Debré [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre d'excellence et Neuro développement [AP-HP Hôpital Robert-Debré] (InoVAND), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-GHU Paris Psychiatrie et Neurosciences, Psychiatrie de l'enfant et de l'adolescent [Robert-Debré], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Robert Debré, Département de génétique [Robert Debré], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-AP-HP Hôpital universitaire Robert-Debré [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), French National Institute for Public Health research, Grant/Award Number: IRESP-19- ADDICTIONS- 08., ANR-19-CE17-0028,ANDIMBA,Troubles neurodeveloppementaux causés par l'alcoolisation fœtale : imagerie et modélisation neuroanatomique à la recherche de marqueurs cérébraux(2019), Fraize, Justine, and Troubles neurodeveloppementaux causés par l'alcoolisation fœtale : imagerie et modélisation neuroanatomique à la recherche de marqueurs cérébraux - - ANDIMBA2019 - ANR-19-CE17-0028 - AAPG2019 - VALID
Subjects: Vermis, [SDV.MHEP.PED]Life Sciences [q-bio]/Human health and pathology/Pediatrics, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [SCCO.NEUR]Cognitive science/Neuroscience, [SCCO.NEUR] Cognitive science/Neuroscience, Agenesis of corpus callosum, Fetal alcohol spectrum disorder, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.MHEP.PED] Life Sciences [q-bio]/Human health and pathology/Pediatrics, Developmental Neuroscience, Fetal alcohol syndrome, Cerebellum, Pediatrics, Perinatology and Child Health, Prenatal alcohol exposure, Microcephaly, Neurology (clinical)
Abstract: International audience; AbstractAim: To identify easily accessible neuroanatomical abnormalities useful for diagnosing fetal alcohol spectrum disorders (FASD) in fetal alcohol syndrome (FAS) but more importantly for the probabilistic diagnosis of non-syndromic forms (NS-FASD).Method: We retrospectively collected monocentric data from 52 individuals with FAS, 37 with NS-FASD, and 94 paired typically developing individuals (6–20 years, 99 males, 84 females). On brain T1-weighted magnetic resonance imaging, we measured brain size, corpus callosum length and thicknesses, vermis height, then evaluated vermis foliation (Likert scale). For each parameter, we established variations with age and brain size in comparison individuals (growth and scaling charts), then identified participants with abnormal measurements (
Published: 2022
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31. Combining Sodium MRI, Proton MR Spectroscopic Imaging and Intracerebral EEG in Epilepsy

Author: Mikhael Azilinon, Julia Scholly, Wafaa Zaaraoui, Samuel Medina Villalon, Patrick Viout, Tangi Roussel, Mohamed Mounir El Mendili, Ben Ridley, Jean-Philippe Ranjeva, Fabrice Bartolomei, Viktor Jirsa, Maxime Guye, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Institut de Neurosciences des Systèmes (INS), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service d'Epileptologie et de Rythmologie Cérébrale [Hôpital de la Timone, AP-HM], Aix Marseille Université (AMU)- Hôpital de la Timone [CHU - APHM] (TIMONE), IRCCS Istituto delle Scienze Neurologiche di Bologna [Bologna, Italy], Ospedale Bellaria [Bologna, Italy], ANR-17-EURE-0029,nEURo*AMU,Marseille NeuroSchool, une formation d'excellence(2017), ANR-17-RHUS-0004,EPINOV,Improving EPilepsy surgery management and progNOsis using Virtual brain technology(2017), European Project: 785907,H2020,HBP SGA2(2018), European Project: 945539,H2020,H2020-SGA-FETFLAG-HBP-2019,HBP SGA3(2020), RANJEVA, Jean-Philippe, Marseille NeuroSchool, une formation d'excellence - - nEURo*AMU2017 - ANR-17-EURE-0029 - EURE - VALID, Improving EPilepsy surgery management and progNOsis using Virtual brain technology - - EPINOV2017 - ANR-17-RHUS-0004 - RHUS - VALID, Human Brain Project Specific Grant Agreement 2 - HBP SGA2 - - H20202018-04-01 - 2020-03-31 - 785907 - VALID, Human Brain Project Specific Grant Agreement 3 - HBP SGA3 - - H20202020-01-01 - 2023-09-30 - 945539 - VALID, Centre d'Exploration Métabolique par Résonance Magnétique [Marseille] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE), and APHM, Timone hospital, Epileptology department, Marseille, France
Subjects: HC, echoplanar spectroscopic imaging, GeneRalized Autocalibrating Partial Parallel Acquisition, N-acetyl aspartate, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, fraction of sodium signal with short T 2 * decays, dysembryoplastic neuroepithelial tumor, achieved significance level, Na+/K+ pump, voltage-gated sodium channel, choline compounds, extracellular volume, repetition time, sodium, CRLB, FOV, total sodium concentration, Radiological and Ultrasound Technology, magnetization prepared 2 rapid acquisition gradient echo, pH, EAAT, propagation zone, Metabolite Imaging and Data Analyses System, sodium hydrogen antiporter, stereotactic EEG, MP2RAGE, DNET, Neurology, sodium longT 2 * relaxation time, GRAPPA, EPSI, fluorodeoxyglucose PET, Anatomy, MNI, ultrashort echo time, focal cortical dysplasia, field of view, MIDAS, sodium short T 2 * relaxation time, magnetization prepared rapid acquisition gradient echo, inversion time, sodium potassium pump, echo time, total creatine, FDR, Cramer-Rao lower bound, anterior commissure-posterior commissure, Radiology, Nuclear Medicine and imaging, sodium potassium chloride cotransporter, potential of hydrogen, apparent concentrations of sodium with long T2* decays, healthy control, noninvolved zone, apparent concentrations of sodium with short apparent T2* decay, Montreal Neurological Institute, bicarbonate sodium cotransporter, Epileptogenicity Index, sodium calcium exchanger, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, MPRAGE, hydrogen, Neurology (clinical), false discovery rate, region of interest, glutamate transporter, epileptogenic zone
Abstract: Whole brain ionic and metabolic imaging has potential as a powerful tool for the characterization of brain diseases. In this study we combined sodium MRI (23Na MRI) and 1H-MR Spectroscopic Imaging (1H-MRSI) and compared ionic/metabolic changes probed by this multimodal approach to intracerebral stereotactic-EEG (SEEG) recordings.We applied a multi-echo density adapted 3D projection reconstruction pulse sequence at 7T (23Na MRI) and a 3D echo planar spectroscopic imaging sequence at 3T (1H-MRSI) in 19 patients suffering from drug-resistant focal epilepsy who underwent presurgical SEEG. We investigated 23Na MRI parameters including total sodium concentration (TSC) and the sodium signal fraction associated of with the short component of T2* decay (f), alongside the level of metabolites N-acetyl aspartate (NAA), choline compounds (Cho) and total creatine (tCr). All measures were extracted from spherical regions of interest (ROIs) centered between two adjacent SEEG electrode contacts and z-scored against the same ROI in controls.Group comparison showed a significant increase in f only in the epileptogenic zone (EZ) compared to controls and compared to patients propagation zone (PZ) and non-involved zone (NIZ). TSC was significantly increased in all patients’ regions compared to controls. Conversely, NAA levels were significantly lower in patients compared to controls, and lower in the EZ compared to PZ and NIZ. Multiple regression analyzing the relationship between sodium and metabolites levels revealed significant relations in PZ and in NIZ but not in EZ.Our results are in agreement with the energetic failure hypothesis in epileptic regions associated with widespread tissue reorganization.
Published: 2022
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32. Editorial for 'Effect of obesity on left ventricular remodeling and clinical outcome in Chinese patients with hypertrophic cardiomyopathy assessed by cardiac magnetic resonance imaging.'

Author: Frank Kober, Astrid Soghomonian, Anne Dutour, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre recherche en CardioVasculaire et Nutrition = Center for CardioVascular and Nutrition research (C2VN), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Endocrinologie, diabète, maladies métaboliques (CHU Marseille, AP-HM), Assistance Publique - Hôpitaux de Marseille (APHM), and Kober, Frank
Subjects: [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Hypertrophic Cardiomyopathy, Radiology, Nuclear Medicine and imaging, Obesity, Myocardial Strain, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system
Abstract: International audience
Published: 2022
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33. Prediction of Treatment Response in Triple Negative Breast Cancer From Whole Slide Images

Author: Peter Naylor, Tristan Lazard, Guillaume Bataillon, Marick Laé, Anne Vincent-Salomon, Anne-Sophie Hamy, Fabien Reyal, Thomas Walter, Walter, Thomas, PaRis Artificial Intelligence Research InstitutE - - PRAIRIE2019 - ANR-19-P3IA-0001 - P3IA - VALID, Institut Q-LIFE - - Q-LIFE2017 - ANR-17-CONV-0005 - CONV - VALID, Centre de Bioinformatique (CBIO), Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Cancer et génome: Bioinformatique, biostatistiques et épidémiologie d'un système complexe, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Curie [Paris], Université Paris sciences et lettres (PSL), Génomique et Médecine Personnalisée du Cancer et des Maladies Neuropsychiatriques (GPMCND), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Lutte Contre le Cancer Henri Becquerel Normandie Rouen (CLCC Henri Becquerel), Génétique et Biologie du Développement, Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Residual Tumor & Response to Treatment Laboratory [Paris] (RT2Lab), Immunité et cancer (U932), Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Ligue Contre le Cancer, ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019), and ANR-17-CONV-0005,Q-LIFE,Institut Q-LIFE(2017)
Subjects: [SDV.MHEP.AHA] Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO], whole slide images, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, small sample size, treatment response, deep learning, [SDV.CAN]Life Sciences [q-bio]/Cancer, cross-validation, breast cancer, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, multiple instance learning, [SDV.CAN] Life Sciences [q-bio]/Cancer, [SDV.MHEP.AHA]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO], digital pathology
Abstract: International audience; The automatic analysis of stained histological sections is becoming increasingly popular. Deep Learning is today the method of choice for the computational analysis of such data, and has shown spectacular results for large datasets for a large variety of cancer types and prediction tasks. On the other hand, many scientific questions relate to small, highly specific cohorts. Such cohorts pose serious challenges for Deep Learning, typically trained on large datasets. In this article, we propose a modification of the standard nested crossvalidation procedure for hyperparameter tuning and model selection, dedicated to the analysis of small cohorts. We also propose a new architecture for the particularly challenging question of treatment prediction, and apply this workflow to the prediction of response to neoadjuvant chemotherapy for Triple Negative Breast Cancer.
Published: 2022
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34. Mise en place d’un protocole d’IRM multiparamétrique pour la planification en radiothérapie dans la région tête et cou

Author: Sayaque, Laura, Leporq, Benjamin, Chloé, Miran, Olivier, Hamelin, Frank, Pilleul, Gregoire, Vincent, Beuf, Olivier, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre Léon Bérard [Lyon], and Sayaque, Laura
Subjects: [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging
Abstract: International audience
Published: 2022

35. Social problems and brain structure trajectories following pediatric mild traumatic brain injury

Author: Dégeilh, Fanny, von Soest, Tilmann, Ferschmann, Lia, Beer, Joanne, Gaubert, Malo, Koerte, Inga, Tamnes, Christian, Ludwig-Maximilians-Universität München (LMU), Neuroimagerie: méthodes et applications (EMPENN), Institut National de la Santé et de la Recherche Médicale (INSERM)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-SIGNAL, IMAGE ET LANGAGE (IRISA-D6), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), University of Oslo (UiO), Department of Biostatistics, Epidemiology and Informatics [Philadelphia], University of Pennsylvania, Brigham & Women’s Hospital [Boston] (BWH), Harvard Medical School [Boston] (HMS), Diakonhjemmet Hospital, Norwegian Centre for Mental Disorders Research [Oslo] (NORMENT), University of Oslo (UiO)-Haukeland University Hospital, University of Bergen (UiB)-University of Bergen (UiB)-Oslo University Hospital [Oslo], This work was supported by grant awarded to F. Dégeilh from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No [101024023]., The ABCD Study® is supported by the National Institutes of Health and additional federal partners under award numbers U01DA041048, U01DA050989, U01DA051016, U01DA041022, U01DA051018, U01DA051037, U01DA050987, U01DA041174, U01DA041106, U01DA041117, U01DA041028, U01DA041134, U01DA050988, U01DA051039, U01DA041156, U01DA041025, U01DA041120, U01DA051038, U01DA041148, U01DA041093, U01DA041089, U24DA041123, U24DA041147. A full list of supporters is available at https://abcdstudy.org/federal-partners.html., European Project: 101024023,INITIATE, Dégeilh, Fanny, and European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101024023 - INITIATE - 101024023 - INCOMING
Subjects: [SDV.MHEP.PED]Life Sciences [q-bio]/Human health and pathology/Pediatrics, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [SCCO.NEUR]Cognitive science/Neuroscience, [SCCO.NEUR] Cognitive science/Neuroscience, Concussion, Brain development, Cortical thickness, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.MHEP.PED] Life Sciences [q-bio]/Human health and pathology/Pediatrics, Traumatic brain injury, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Social problems, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2022

36. Validation of cardiac diffusion tensor imaging sequences: A multi-centre test-retest phantom study

Author: Irvin Teh, William A. Romero R., Jordan Boyle, Jaume Coll‐Font, Erica Dall'Armellina, Daniel B. Ennis, Pedro F. Ferreira, Prateek Kalra, Arunark Kolipaka, Sebastian Kozerke, David Lohr, François‐Pierre Mongeon, Kévin Moulin, Christopher Nguyen, Sonia Nielles‐Vallespin, Brian Raterman, Laura M. Schreiber, Andrew D. Scott, David E. Sosnovik, Christian T. Stoeck, Cyril Tous, Elizabeth M. Tunnicliffe, Andreas M. Weng, Pierre Croisille, Magalie Viallon, Jürgen E. Schneider, British Heart Foundation, Leeds Institute of Cardiovascular and Metabolic Medicine, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), School of Mechanical Engineering, University of Leeds, Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School [Boston] (HMS)-Massachusetts General Hospital [Boston], VA Palo Alto Health Care System, Stanford University, Cardiovascular Magnetic Resonance Unit, The Royal Brompton and Harefield NHS Foundation Trust, National Heart and Lung Institute [London] (NHLI), Imperial College London-Royal Brompton and Harefield NHS Foundation Trust, Wexner Medical Center, Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Comprehensive Heart Failure Center, Julius-Maximilians-Universität Würzburg (JMU)-University Hospital of Würzburg-Rudolf Virchow Center for Experimental Biomedicine, Julius-Maximilians-Universität Würzburg (JMU), Division of Non-invasive Cardiology, Montreal Heart Institute - Institut de Cardiologie de Montréal, Institute of Biomedical Engineering, Université de Montréal (UdeM), Radcliffe Department of Medicine [Oxford], University of Oxford, Oxford NIHR Biomedical Research Centre, Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, RMN et optique : De la mesure au biomarqueur, Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Rayet, Béatrice
Subjects: Technology, Cardiac DTI, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, multicentre, Biophysics, polyvinylpyrrolidone, SPIN ECHOES, pulse sequence validation, NOISE, DISARRAY, 0903 Biomedical Engineering, REPRODUCIBILITY, WATER, Radiology, Nuclear Medicine and imaging, Spectroscopy, Science & Technology, HYPERTROPHIC CARDIOMYOPATHY, 0304 Medicinal and Biomolecular Chemistry, Phantoms, Imaging, Radiology, Nuclear Medicine & Medical Imaging, isotropic phantom, Reproducibility of Results, Heart, 1103 Clinical Sciences, HUMAN HEART, TIME, Nuclear Medicine & Medical Imaging, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Diffusion Tensor Imaging, Molecular Medicine, Anisotropy, multi-centre, Life Sciences & Biomedicine, MRI
Abstract: International audience; Cardiac diffusion tensor imaging (DTI) is an emerging technique for the in vivo characterisation of myocardial microstructure, and there is a growing need for its validation and standardisation. We sought to establish the accuracy, precision, repeatability and reproducibility of state-of-the-art pulse sequences for cardiac DTI among 10 centres internationally. Phantoms comprising 0%-20% polyvinylpyrrolidone (PVP) were scanned with DTI using a product pulsed gradient spin echo (PGSE; N = 10 sites) sequence, and a custom motion-compensated spin echo (SE; N = 5) or stimulated echo acquisition mode (STEAM; N = 5) sequence suitable for cardiac DTI in vivo. A second identical scan was performed 1-9 days later, and the data were analysed centrally. The average mean diffusivities (MDs) in 0% PVP were (1.124, 1.130, 1.113) x 10-3 mm2 /s for PGSE, SE and STEAM, respectively, and accurate to within 1.5% of reference data from the literature. The coefficients of variation in MDs across sites were 2.6%, 3.1% and 2.1% for PGSE, SE and STEAM, respectively, and were similar to previous studies using only PGSE. Reproducibility in MD was excellent, with mean differences in PGSE, SE and STEAM of (0.3 ± 2.3, 0.24 ± 0.95, 0.52 ± 0.58) x 10-5 mm2 /s (mean ± 1.96 SD). We show that custom sequences for cardiac DTI provide accurate, precise, repeatable and reproducible measurements. Further work in anisotropic and/or deforming phantoms is warranted.
Published: 2022
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37. Influence of intraoperative vasopressor use on indocyanine green fluorescence angiography: first evaluation in an experimental model

Author: Eric Noll, René R. W. J. van der Hulst, Mahdi Al-Taher, Tim Pruimboom, Alexandre Hostettler, Rutger M. Schols, Michele Diana, Nariaki Okamoto, Laurents P. S. Stassen, Michael Kugler, Sophie Diemunsch, Nicole D. Bouvy, Jacques Marescaux, IRCAD, Maastricht University Medical Centre (MUMC), Maastricht University [Maastricht], CHU Strasbourg, Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), univOAK, Archive ouverte, MUMC+: MA Heelkunde (9), Surgery, RS: NUTRIM - R2 - Liver and digestive health, Plastische Chirurgie (PLC), MUMC+: MA AIOS Plastische Chirurgie (9), MUMC+: MA AIOS Heelkunde (9), MUMC+: MA Plastische Chirurgie (3), and MUMC+: MA Plastische Chirurgie (9)
Subjects: Indocyanine Green, ANASTOMOTIC LEAKAGE, Swine, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Science, Article, Norepinephrine (medication), 03 medical and health sciences, chemistry.chemical_compound, Intraoperative Period, Norepinephrine, 0302 clinical medicine, COLORECTAL SURGERY, PERFUSION, medicine, Animals, Vasoconstrictor Agents, Gastrointestinal models, Fluorescein Angiography, Infusions, Intravenous, Laparotomy, Multidisciplinary, medicine.diagnostic_test, Experimental model, business.industry, Imaging and sensing, EPINEPHRINE, PHENYLEPHRINE, Intestines, Fluorescence intensity, Disease Models, Animal, Epinephrine, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, chemistry, 030220 oncology & carcinogenesis, Angiography, Injections, Intravenous, Medicine, 030211 gastroenterology & hepatology, Female, ENHANCED REALITY, business, Nuclear medicine, Perfusion, Indocyanine green, medicine.drug, Indocyanine green fluorescence
Abstract: Intraoperative indocyanine green (ICG) fluorescence angiography has gained popularity and acceptance in many surgical fields for the real-time assessment of tissue perfusion. Although vasopressors have the potential to preclude an accurate assessment of tissue perfusion, there is a lack of literature with regards to its effect on ICG fluorescence angiography. An experimental porcine model was used to expose the small bowel for quantitative tissue perfusion assessment. Three increasing doses of norepinephrine infusion (0.1, 0.5, and 1.0 µg/kg/min) were administered intravenously over a 25-min interval. Time-to-peak fluorescence intensity (TTP) was the primary outcome. Secondary outcomes included absolute fluorescence intensity and local capillary lactate (LCL) levels. Five large pigs (mean weight: 40.3 ± 4.24 kg) were included. There was no significant difference in mean TTP (in seconds) at baseline (4.23) as compared to the second (3.90), third (4.41), fourth (4.60), and fifth ICG assessment (5.99). As a result of ICG accumulation, the mean and the maximum absolute fluorescence intensity were significantly different as compared to the baseline assessment. There was no significant difference in LCL levels (in mmol/L) at baseline (0.74) as compared to the second (0.82), third (0.64), fourth (0.60), and fifth assessment (0.62). Increasing doses of norepinephrine infusion have no significant influence on bowel perfusion using ICG fluorescence angiography.
Published: 2021
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38. Whole-body MR imaging in suspected physical child abuse: comparison with skeletal survey and bone scintigraphy findings from the PEDIMA prospective multicentre study

Author: Proisy, Maïa, Vivier, Pierre-Hugues, Morel, Baptiste, Bruneau, Bertrand, Sembely-Taveau, Catherine, Vacheresse, Solène, Devillers, Anne, Lecloirec, Joseph, Bodet-Milin, Caroline, Dubois, Marine, Hamonic, Stéphanie, Bajeux, Emma, Ganivet, Anne, Adamsbaum, Catherine, Treguier, Catherine, Abalea, Lydie, Croly-Labourdette, Séverine, Dam Hieu, Phong, Dobrzynski, Murielle, Fenoll, Bertrand, Forlodou, Pierre, Le Bot, Christiane, Lefranc, Jérémie, Lesoeur, Mélanie, Mériot, Philippe, Peudenier, Sylviane, Querello, Solène, Salaun, Pierre Yves, Olivier, Pierre, Martrille, Laurent, Borsa-Dorion, Anne, Galloy, Marie-Agnès, Mainard-Simard, Laurence, Raffo, Emmanuel, Cavare-Vigneron, Sylvie, Claudon, Michel, Klein, Olivier, Schmitt, Emmanuelle, Le Tacon, Serge, Morel, Olivier, Lapp, Lucie, Bodere-Kraeber, Françoise, Milin, Caroline, Fleury, Juliette, Geffroy, Loïc, Hamel, Sophie, Lefrancois, Thomas, Longis, Marie-Pierre, Mayrargue, Emmanuelle, Picherot, Georges, Quéré, Marie-Pierre, Rozé, Jean-Christophe, Vabres, Nathalie, Bouvet, Renaud, Le Gueut, Mariannick, Riffaud, Laurent, Balençon, Martine, Bétrémieux, Pierre, Chapuis, Madeleine, Chasle, Véronique, Dabadie, Alain, Damaj, Léna, Darnault, Pierre, de La Brière, François, Delahaye, Séverine, Duvauferrier, Regis, Farges, Céline, Fraisse, Bernard, Gaillot, Théophile, Gardin, Maryse, Gauvrit, Cécile, Guitteny, Marie-Aline, Marleix, Sylvette, Napuri, Silvia, Roussey, Michel, Rozel, Céline, Tirel, Olivier, Vignaud, Catherine, Violas, Philippe, Wodey, Eric, Pierre, Marion, Pladys, Patrick, Abu-Amara, Saad, Bachy, Bruno, Brasseur-Daudruy, Marie, Dacher, Jean-Nicolas, Delmon, Pascal, Lechevallier-Amara, Joël, Lerebours, Bénédicte, Leroux, Julien, Proust, Francois, Rigal, Sophie, Baulieu, Jean-Louis, Venel, Yann, Elodie, Carpentier, Chantepie, Alain, Chantreuil, Julie, Come, Mathieu, de Courtivron, Benoit, Labarthe, François, Marot, Yves, Pepin-Donat, Myriam, Sirinelli, Dominique, Travers, Nadine, Urvois-Grange, Annie, O'Byrne, Patrick, Listrat, Antoine, Barge-Galern, Marie-Luce, Le Cloirec, Joseph, Vera, Pierre, Kone-Paut, I., Deiva, Kumaran, Chaumet-Riffaud, Philippe, Grimon, Gilles, Archambaud, Frederique, Zenkhri, Ferielle, Galeotti, Caroline, Sevette-Béchard, Nancy, Prodhomme, Olivier, Leconte, Céline, Haquet, Armelle, Bourdon, Aurélie, Sainmont, Mélanie, De-Pontual, Loic, Sellier, Nicolas, Trieu, Thanh-Van, de Labriolle-Vaylet, Claire, Département de Radiologie [Rennes], Université de Rennes (UR), Hôpital Charles Nicolle [Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU), Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Département de médecine nucléaire [Rennes], CRLCC Eugène Marquis (CRLCC), Service de médecine nucléaire [Rouen], CRLCC Haute Normandie-Centre de Lutte Contre le Cancer Henri Becquerel Normandie Rouen (CLCC Henri Becquerel), Centre de Recherche en Cancérologie et Immunologie Nantes-Angers (CRCINA), Université d'Angers (UA)-Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre hospitalier universitaire de Nantes (CHU Nantes), Centre Hospitalier Universitaire [Rennes], Département de Radiologie [AP-HP Hôpital Bicêtre], AP-HP Hôpital Bicêtre (Le Kremlin-Bicêtre), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Université de Montpellier (UM), PEDIMA study research group: Lydie Abalea, Séverine Croly-Labourdette, Phong Dam Hieu, Murielle Dobrzynski, Bertrand Fenoll, Pierre Forlodou, Christiane Le Bot, Jérémie Lefranc, Mélanie Lesoeur, Philippe Meriot, Sylviane Peudenier, Solène Querello, Pierre-Yves Salaun, Pierre Olivier, Laurent Martrille, Anne Borsa-Dorion, Marie-Agnès Galloy, Laurence Mainard-Simard, Emmanuel Raffo, Sylvie Cavare-Vigneron, Michel Claudon, Olivier Klein, Emmanuelle Schmitt, Serge Le Tacon, Olivier Morel, Lucie Lapp, Françoise Bodéré-Kraeber, Caroline Milin, Juliette Fleury, Loïc Geffroy, Sophie Hamel, Antoine Hamel, Thomas Lefrançois, Marie-Pierre Longis, Emmanuelle Mayrargue, Georges Picherot, Marie-Pierre Quéré, Jean-Christophe Rozé, Nathalie Vabres, Renaud Bouvet, Mariannick Le Gueut, Laurent Riffaud, Martine Balençon, Pierre Bétrémieux, Madeleine Chapuis, Véronique Chasle, Alain Dabadie, Léna Damaj, Pierre Darnault, François De La Brière, Séverine Delahaye, Régis Duvauferrier, Céline Farges, Bernard Fraisse, Théophile Gaillot, Maryse Gardin, Cécile Gauvrit, Marie-Aline Guitteny, Sylvette Marleix, Silvia Napuri, Michel Roussey, Céline Rozel, Olivier Tirel, Catherine Tréguier, Catherine Vignaud, Philippe Violas, Eric Wodey, Marion Pierre, Patrick Pladys, Saad Abu-Amara, Bruno Bachy, Marie Brasseur-Daudruy, Jean-Nicolas Dacher, Pascal Delmon, Joël Lechevallier Amara, Bénédicte Lerebours, Julien Leroux, François Proust, Sophie Rigal, Pierre-Hugues Vivier, Jean-Louis Baulieu, Yann Venel, Elodie Carpentier, Alain Chantepie, Julie Chantreuil, Mathieu Come, Benoît De Courtivron, François Labarthe, Yves Marot, Myriam Pepin Donat, Dominique Sirinelli, Nadine Travers, Annie Urvois-Grangé, Patrick O'Byrne, Antoine Listrat, Marie-Luce Barge-Galerne, Joseph Le Cloirec, Pierre Vera, Isabelle Koné-Paut, Kumaran Deiva, Philippe Chaumet-Riffaud, Gilles Grimon, Frédérique Archambaud, Ferielle Zenkhri, Caroline Galeotti, Nancy Sevette Béchard, Olivier Prodhomme, Céline Leconte, Armelle Haquet, Aurélie Bourdon, Mélanie Sainmont, Loïc De Pontual, Nicolas Sellier, Thanh-Van Trieu, Claire De Labriolle-Vaylet., Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN)-Centre hospitalier universitaire de Nantes (CHU Nantes)-Centre National de la Recherche Scientifique (CNRS)-Université d'Angers (UA), and DACHER, Jean Nicolas
Subjects: Child abuse, medicine.medical_specialty, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Skeletal survey, [SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicine, Sensitivity and Specificity, [SDV.IB.MN] Life Sciences [q-bio]/Bioengineering/Nuclear medicine, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, [SDV.MHEP.PED] Life Sciences [q-bio]/Human health and pathology/Pediatrics, 0302 clinical medicine, parasitic diseases, medicine, Humans, Whole Body Imaging, Radiology, Nuclear Medicine and imaging, Child Abuse, Prospective Studies, Child, Radionuclide Imaging, Neuroradiology, [SDV.MHEP.PED]Life Sciences [q-bio]/Human health and pathology/Pediatrics, medicine.diagnostic_test, business.industry, Infant, Interventional radiology, Magnetic resonance imaging, General Medicine, Magnetic Resonance Imaging, Occult, Confidence interval, 3. Good health, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Physical Abuse, Bone scintigraphy, 030220 oncology & carcinogenesis, Radiology, Tomography, X-Ray Computed, business
Abstract: International audience; Objectives: To assess the contribution of whole-body magnetic resonance imaging (WBMRI) and bone scintigraphy (BS) in addition to skeletal survey (SS) in detecting traumatic bone lesions and soft-tissue injuries in suspected child abuse.Methods: In this prospective, multicentre, diagnostic accuracy study, children less than 3 years of age with suspected physical abuse were recruited. Each child underwent SS, BS and WBMRI. A blinded first review was performed in consensus by five paediatric radiologists and three nuclear medicine physicians. A second review investigated discrepancies reported between the modalities using a consensus result of all modalities as the reference standard. We calculated the sensitivity, specificity and corresponding 95% confidence interval for each imaging modality (SS, WBMRI and BS) and for the combinations [SS + WBMRI] and [SS + BS].Results: One hundred seventy children were included of which sixty-four had at least one lesion. In total, 146 lesions were included. The sensitivity and specificity of each examination were, respectively, as follows: 88.4% [95% CI, 82.0-93.1] and 99.7% [95% CI, 99.5-99.8] for the SS, 69.9% [95% CI, 61.7-77.2] and 99.5% [95% CI, 99.2-99.7] for WBMRI and 54.8% [95% CI, 46.4-63.0] and 99.7% [95% CI, 99.5-99.9] for BS. Sensitivity and specificity were, respectively, 95.9% [95% CI, 91.3-98.5] and 99.2% [95% CI, 98.9-99.4] for the combination SS + WBMRI and 95.2% [95% CI, 90.4-98.1] and 99.4% [95% CI, 99.2-99.6] for the combination SS + BS, with no statistically significant difference between them.Conclusion: SS was the most sensitive independent imaging modality; however, the additional combination of either WBMRI or BS examinations offered an increased accuracy.Key points: • SS in suspected infant abuse was the most sensitive independent imaging modality in this study, especially for detecting metaphyseal and rib lesions, and remains essential for evaluation. • The combination of either SS + BS or SS + WBMRI provides greater accuracy in diagnosing occult and equivocal bone injuries in the difficult setting of child abuse. • WBMRI is a free-radiation technique that allows additional diagnosis of soft-tissue and visceral injuries.
Published: 2021
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39. Just another 'Clever Hans'? Neural networks and FDG PET-CT to predict the outcome of patients with breast cancer

Author: Robert Seifert, Irène Buvat, Christoph Rischpler, David Kersting, Ken Herrmann, Michael Schäfers, Manuel Weber, Wolfgang P. Fendler, Lale Umutlu, German Cancer Consortium [Heidelberg] (DKTK), West German Cancer Center [Essen, Germany], University of Duisburg-Essen, University Hospital Münster - Universitaetsklinikum Muenster [Germany] (UKM), Laboratoire d'Imagerie Translationnelle en Oncologie (LITO ), Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), and Buvat, Irène
Subjects: medicine.medical_specialty, Multivariate analysis, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Medizin, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [INFO.INFO-NE] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], [SDV.CAN]Life Sciences [q-bio]/Cancer, [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Standard anatomical position, Breast cancer, 0302 clinical medicine, [SDV.CAN] Life Sciences [q-bio]/Cancer, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Animals, Medicine, Radiology, Nuclear Medicine and imaging, Horses, Lung cancer, Pathological, Lymph node, business.industry, Metabolic tumor volume, Cancer, General Medicine, medicine.disease, Neural network, 3. Good health, Lymphoma, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, medicine.anatomical_structure, 030220 oncology & carcinogenesis, 18 F-FDG PET, Original Article, Radiology, business, 18F-FDG PET
Abstract: Background Manual quantification of the metabolic tumor volume (MTV) from whole-body 18F-FDG PET/CT is time consuming and therefore usually not applied in clinical routine. It has been shown that neural networks might assist nuclear medicine physicians in such quantification tasks. However, little is known if such neural networks have to be designed for a specific type of cancer or whether they can be applied to various cancers. Therefore, the aim of this study was to evaluate the accuracy of a neural network in a cancer that was not used for its training. Methods Fifty consecutive breast cancer patients that underwent 18F-FDG PET/CT were included in this retrospective analysis. The PET-Assisted Reporting System (PARS) prototype that uses a neural network trained on lymphoma and lung cancer 18F-FDG PET/CT data had to detect pathological foci and determine their anatomical location. Consensus reads of two nuclear medicine physicians together with follow-up data served as diagnostic reference standard; 1072 18F-FDG avid foci were manually segmented. The accuracy of the neural network was evaluated with regard to lesion detection, anatomical position determination, and total tumor volume quantification. Results If PERCIST measurable foci were regarded, the neural network displayed high per patient sensitivity and specificity in detecting suspicious 18F-FDG foci (92%; CI = 79–97% and 98%; CI = 94–99%). If all FDG-avid foci were regarded, the sensitivity degraded (39%; CI = 30–50%). The localization accuracy was high for body part (98%; CI = 95–99%), region (88%; CI = 84–90%), and subregion (79%; CI = 74–84%). There was a high correlation of AI derived and manually segmented MTV (R2 = 0.91; p p p = 0.025) and liver MTV (HR = 1.149; CI = 1.001–1.318; p = 0.048) were predictive for overall survival in a multivariate analysis. Conclusion Although trained on lymphoma and lung cancer, PARS showed good accuracy in the detection of PERCIST measurable lesions. Therefore, the neural network seems not prone to the clever Hans effect. However, the network has poor accuracy if all manually segmented lesions were used as reference standard. Both the whole body and organ-wise MTV were significant prognosticators of overall survival in advanced breast cancer.
Published: 2021
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40. Synthesis and in vitro preliminary evaluation of prostate-specific membrane antigen targeted upconversion nanoparticles as a first step towards radio/fluorescence-guided surgery of prostate cancer

Author: Tiffany Witkowski, Jean-Michel Chezal, Frédérique Penault-Llorca, Françoise Degoul, Damien Boyer, Mhammed Benbakkar, Leslie Mazuel, Aurélie Maisonial-Besset, Axel Cordonnier, Magali Vivier, Sébastien Tarrit, Arnaud Briat, Rodolphe Valleix, Elisabeth Miot-Noirault, Sophie Besse, Benoît Maunit, Mercedes Quintana, Rachid Mahiou, Imagerie Moléculaire et Stratégies Théranostiques (IMoST), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Clermont Auvergne (UCA), Institut de Chimie de Clermont-Ferrand (ICCF), Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)-Institut national polytechnique Clermont Auvergne (INP Clermont Auvergne), Université Clermont Auvergne (UCA)-Université Clermont Auvergne (UCA), Laboratoire Magmas et Volcans (LMV), Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement et la société-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)-Observatoire de Physique du Globe de Clermont-Ferrand (OPGC), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)-Institut national polytechnique Clermont Auvergne (INP Clermont Auvergne), Centre Jean Perrin [Clermont-Ferrand] (UNICANCER/CJP), UNICANCER, and Chezal, Jean-Michel
Subjects: Biodistribution, medicine.medical_specialty, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [SDV]Life Sciences [q-bio], Biomedical Engineering, [SDV.CAN]Life Sciences [q-bio]/Cancer, [SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicine, 02 engineering and technology, Polyethylene glycol, Upconversion nanoparticles, [SDV.MHEP.UN]Life Sciences [q-bio]/Human health and pathology/Urology and Nephrology, [SDV.IB.MN] Life Sciences [q-bio]/Bioengineering/Nuclear medicine, optical imaging, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, [SDV.CAN] Life Sciences [q-bio]/Cancer, In vivo, PEG ratio, PSMA, Glutamate carboxypeptidase II, medicine, General Materials Science, Cytotoxicity, [CHIM.MATE] Chemical Sciences/Material chemistry, Chemistry, [CHIM.MATE]Chemical Sciences/Material chemistry, General Chemistry, General Medicine, prostate cancer, 021001 nanoscience & nanotechnology, [SDV.MHEP.UN] Life Sciences [q-bio]/Human health and pathology/Urology and Nephrology, Fluorescence, Surgery, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, SPECT, 030220 oncology & carcinogenesis, Nanomedicine, 0210 nano-technology
Abstract: International audience; Over the last decade, upconversion nanoparticles (UCNP) have been widely investigated in nanomedicine due to their high potential as imaging agents in the near-infrared (NIR) optical window of biological tissues. Here, we successfully develop active targeted UCNP as potential probes for dual NIR-NIR fluorescence and radioactive-guided surgery of prostate-specific membrane antigen (PSMA)(+) prostate cancers. We designed a one-pot thermolysis synthesis method to obtain oleic acid-coated spherical NaYF4:Yb,Tm@NaYF4 core/shell UCNP with narrow particle size distribution (30.0 ± 0.1 nm, as estimated by SAXS analysis) and efficient upconversion luminescence. Polyethylene glycol (PEG) ligands bearing different anchoring groups (phosphate, bis- and tetra-phosphonate-based) were synthesized and used to hydrophilize the UCNP. DLS studies led to the selection of a tetra-phosphonate PEG(2000) ligand affording water-dispersible UCNP with sustained colloidal stability in several aqueous media. PSMA-targeting ligands (i.e., glutamate-urea-lysine derivatives called KuEs) and fluorescent or radiolabelled prosthetic group were grafted onto the UCNP surface by strain-promoted azide-alkyne cycloaddition (SPAAC). These UCNP, coated with 10 or 100% surface density of KuE ligands, did not induce cytotoxicity over 24 h incubation in LNCaP-Luc or PC3-Luc prostate cancer cell lines or in human fibroblasts for any of the concentrations evaluated. Competitive binding assays and flow cytometry demonstrated the excellent affinity of UCNP@KuE for PSMA-positive LNCaP-Luc cells compared with non-targeted UCNP@CO2H. Furthermore, the binding of UCNP@KuE to prostate tumour cells was positively correlated with the surface density of PSMA-targeting ligands and maintained after 125I-radiolabelling. Finally, a preliminary biodistribution study in LNCaP-Luc-bearing mice demonstrated the radiochemical stability of non-targeted [125I]UCNP paving the way for future in vivo assessments.
Published: 2021
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41. Towards in vivo imaging of functionally active 5-HT1A receptors in schizophrenia: concepts and challenges

Author: Adrian Newman-Tancredi, Luc Zimmer, Oriane Razakarivony, Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Hospices Civils de Lyon (HCL), Neurolixis, Centre d'Etude et de Recherche Multimodal Et Pluridisciplinaire en imagerie du vivant (CERMEP - imagerie du vivant), Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-CHU Saint-Etienne-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Rayet, Béatrice, Centre de recherche en neurosciences de Lyon (CRNL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-CHU Saint-Etienne-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)
Subjects: Agonist, medicine.drug_class, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, medicine.medical_treatment, lcsh:RC321-571, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Neuroimaging, medicine, Radioligand, Receptor, Antipsychotic, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Biological Psychiatry, business.industry, medicine.disease, 030227 psychiatry, Psychiatry and Mental health, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Schizophrenia, Serotonin, business, Neuroscience, 030217 neurology & neurosurgery, Preclinical imaging, Biomarkers
Abstract: The serotonin 5-HT1A receptor has attracted wide attention as a target for treatment of psychiatric disorders. Although this receptor is important in the pharmacological mechanisms of action of new-generation antipsychotics, its characterization remains incomplete. Studies based on in vitro molecular imaging on brain tissue by autoradiography, and more recently in vivo PET imaging, have not yielded clear results, in particular due to the limitations of current 5-HT1A radiotracers, which lack specificity and/or bind to all 5-HT1A receptors, regardless of their functional status. The new concept of PET neuroimaging of functionally active G-protein-coupled receptors makes it possible to revisit PET brain exploration by enabling new research paradigms. For the 5-HT1A receptor it is now possible to use [18F]-F13640, a 5-HT1A receptor radioligand with high efficacy agonist properties, to specifically visualize and quantify functionally active receptors, and to relate this information to subjects’ pathophysiological or pharmacological state. We therefore propose imaging protocols to follow changes in the pattern of functional 5-HT1A receptors in relation to mood deficits or cognitive processes. This could allow improved discrimination of different schizophrenia phenotypes and greater understanding of the basis of therapeutic responses to antipsychotic drugs. Finally, as well as targeting functionally active receptors to gain insights into the role of 5-HT1A receptors, the concept can also be extended to the study of other receptors involved in the pathophysiology or therapy of psychiatric disorders.
Published: 2021
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42. Description of morphological evolution of lung tumors treated by percutaneous radiofrequency ablation: long term follow-up of 100 lesions with chest CT

Author: Alexis Jacquier, Jean-Yves Gaubert, Pauline Brige, Farouk Tradi, Mathieu Di Bisceglie, Vincent Vidal, Paul Habert, Axel Bartoli, Jean-François Hak, Brige, Pauline, Département de Radiologie [Hôpital de la Timone - APHM], Hôpital de la Timone [CHU - APHM] (TIMONE), Laboratoire d'Imagerie Interventionnelle Expérimentale (LIIE), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Européen de Recherche en Imagerie médicale (CERIMED), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-École Centrale de Marseille (ECM)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - AP-HM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), APHM, Hôpital de la Timone, Département de Neuroradiologie, and Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM)
Subjects: Cancer Research, Lung Neoplasms, Percutaneous, primary lung tumor, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Physiology, Radiofrequency ablation, Scars, Atelectasis, [SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, 030218 nuclear medicine & medical imaging, law.invention, 0302 clinical medicine, law, Fibrosis, follow-up, Longitudinal Studies, medicine.diagnostic_test, lung metastases, Interventional radiology, Treatment Outcome, surgical procedures, operative, medicine.anatomical_structure, 030220 oncology & carcinogenesis, Catheter Ablation, radiofrequency ablation, Radiology, medicine.symptom, Ablation zone, medicine.medical_specialty, [SDV.CAN]Life Sciences [q-bio]/Cancer, 03 medical and health sciences, [SDV.CAN] Life Sciences [q-bio]/Cancer, Physiology (medical), Medical technology, medicine, Humans, R855-855.5, Retrospective Studies, Lung, business.industry, computed tomography, medicine.disease, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.MHEP.PSR] Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, Neoplasm Recurrence, Local, Tomography, X-Ray Computed, business, Follow-Up Studies
Abstract: International audience; Purpose: Radiofrequency ablation (RFA) is a safe and effective minimally invasive treatment for pulmonary tumors. Patterns on chest computed tomography (CT) after RFA are classified into five types; however, the follow-up has not been fully described. The objectives of this study were to describe (1) the CT pattern 3 years after RFA and (2) its evolution over 7 years. Materials and methods: Lesions treated with RFA between 2009 and 2017 and with !3 years of follow-up CT data were included. Lesions with local recurrences were excluded from the study. The morphology of the ablation zone was classified as nodular, fibrotic, atelectatic, cavitary, and disappeared. Other initial anatomical parameters were recorded. Kruskal-Wallis or Chi-square tests were used to compare the groups. Results: One hundred lung RFA scars were included, and a retrospective longitudinal study was performed. Three years after RFA, nodular, fibrotic, atelectatic, and cavitary scars, and disappearance were observed in 49%, 36%, 5%, 3%, and 6% of the scars, respectively. Evolution over 7 years showed that the fibrosis, atelectasis, and disappearance remained stable over time, whereas 28% of nodular scars evolved into fibrotic scars. Additionally, 45% of cavitary scars evolved into nodular scars. Pleural contact was associated with disappearance, and the use of a 20-mm needle was associated with atelectasis. Conclusion: Follow-up after RFA showed that fibrosis, disappearance, and atelectasis remained stable over time. Nodular scars could evolve into fibrotic scars, and cavitary scars could evolve into nodular scars.
Published: 2021
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43. Hemodynamic Changes Before and After Endovascular Treatment of Type B Aortic Dissection by 4D Flow MRI

Author: Cosset, Benoit, Boussel, Loic, Davila Serrano, Eduardo, Millon, Antoine, Douek, Philippe, Farhat, Fadi, Sigovan, Monica, Boussel, Loic, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Hospices Civils de Lyon (HCL), Modeling & analysis for medical imaging and Diagnosis (MYRIAD), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL)
Subjects: Helical Flow, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.MHEP.CHI] Life Sciences [q-bio]/Human health and pathology/Surgery, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Parametric Hemodynamic Maps, [SDV.MHEP.CHI]Life Sciences [q-bio]/Human health and pathology/Surgery, Hemodynamic Evaluation, 4D phase-contrast MRI, Cardiology and Cardiovascular Medicine, Thoracic Endovascular Aortic Repair, Type B Aortic Dissection, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system
Abstract: Objective:The standard treatment for complicated Stanford type B aortic dissection (TBAD) is thoracic endovascular aortic repair (TEVAR). Functional parameters, specifically blood flow, are not measured in the clinical assessment of TEVAR, yet they are of outmost importance in patient outcome. Consequently, we investigated the impact of TEVAR on the flows in the aorta and its branches in TBAD using 4D Phase-Contrast Magnetic Resonance Imaging (4D Flow MRI).MethodsSeven patients with TBAD scheduled for TEVAR underwent pre and post-operative 4D Flow MRI. An experienced reader assessed the presence of helical flow in the false lumen (FL) using streamlines and measured net flow at specific locations. In addition, forward and reverse flows, stasis, helicity, and absolute helicity were computed automatically along the aorta centerline. Average values were then computed in the segmented vessels. Impact of TEVAR on these parameters was assessed with a Wilcoxon signed rank test. Impact of the metallic stent on the velocity quantification was assessed using intra-class correlation coefficient (ICC) between velocities measured intra-stent and in adjacent stent-free regions.ResultsFL helical flow was observed proximally in 6 cases and distally in 2 cases pre-operatively. Helical flow disappeared post-TEVAR proximally, but developed distally for 2 patients. Intra-stent measures were similar to stent-free with a median difference of 0.1 L/min and an ICC equal to 0.967 (p < 0.01). Forward flow increased from 59.9 to 81.6% in the TL and significantly decreased in the FL from 15.9 to 3.3%. Similarly, reverse flow increased in the TL from 4.36 to 10.8% and decreased in the FL from 10.3 to 4.6%. No significant changes were observed in net flow for aortic branches (p > 0.05). A significant increase in FL stasis was observed (p = 0.04).DiscussionTEVAR significantly increased forward flow in the TL and significantly decreased both forward and reverse flows in the FL. Interestingly, reverse flow in the TL increased post-TEVAR, which could be due to increased rigidity of the wall, due to the metallic stent. User independent helicity quantification enabled detection of elevated helicity at the level of secondary entry tears which had been missed by streamline visualization.
Published: 2022
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44. Robust estimation of 5-ALA-induced PpIX multiple-wavelength excitation fluorescence spectroscopy for improving glioma classification

Author: Gautheron, Arthur, Sdika, Michaël, Hébert, Mathieu, Montcel, Bruno, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Modeling & analysis for medical imaging and Diagnosis (MYRIAD), Institut d'Optique Graduate School (IOGS), Laboratoire Hubert Curien [Saint Etienne] (LHC), Institut d'Optique Graduate School (IOGS)-Université Jean Monnet - Saint-Étienne (UJM)-Centre National de la Recherche Scientifique (CNRS), and GAUTHERON, Arthur
Subjects: [PHYS.PHYS.PHYS-OPTICS] Physics [physics]/Physics [physics]/Optics [physics.optics], [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], Protoporphyrin IX, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, fluorescence spectroscopy, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, classification, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, glioma, neurosurgery, 5-ALA, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract: International audience; Protoporphyrin IX (PpIX) is a fluorophore now used to identify tumoral tissues. The tissue is usually excited at one wavelength, e.g., 405 nm, and the fluorescence signal generated by this molecule and other fluorophores (the baseline) is used to estimate the amount of PpIX. However, fluorophores too close to PpIX impair the estimation and resulting classifications. Thus, we handle this issue by suggesting an efficient multi-excitation wavelengths method, free from any a priori on the baseline. Our method aims to distinguish healthy tissues from tumor margins, while being more robust to baseline variability. It keeps an ability to distinguish healthy from tumor tissues up to 87% in cases where existing methods'ability drops near 0%.
Published: 2022
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45. Association of APOE-Independent Alzheimer Disease Polygenic Risk Score With Brain Amyloid Deposition in Asymptomatic Older Adults

Author: Xicota, Laura, Gyorgy, Beata, Grenier-Boley, Benjamin, Lecoeur, Alexandre, Fontaine, Gaelle, Danjou, Fabrice, Gonzalez, Jorge Samper, Colliot, Olivier, Amouyel, Philippe, Martin, Garance, Levy, Marcel, Villain, Nicolas, Habert, Marie-Odile, Dubois, Bruno, Lambert, Jean-Charles, Potier, Marie-Claude, Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Lille, Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre d'Acquisition et de Traitement des Images [Paris], Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] (IM2A), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), This research was funded by the French government under management of Agence Nationale de la Recherche as part of the 'Investissements d'avenir' program (ANR-10-AIHU-06), ANR-19-P3IA-0001 (PRAIRIE 3IA Institute), the INSERM, Institut Pasteur de Lille, the Lille Métropole Communauté Urbaine and the French government’s LABEX DISTALZ program (development of innovative strategies for a transdisciplinary approach to Alzheimer’s disease). LX was supported by a fellowship from Institut de Recherche Servier., ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019), Colliot, Olivier, PaRis Artificial Intelligence Research InstitutE - - PRAIRIE2019 - ANR-19-P3IA-0001 - P3IA - VALID, and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)
Subjects: [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, [SDV.NEU.NB] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], mental disorders, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Neurology (clinical), [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract: Background and ObjectivesBrain amyloid deposition, a major risk factor for Alzheimer disease (AD), is currently estimated by measuring CSF or plasma amyloid peptide levels or by PET imaging. Assessing genetic risks relating to amyloid deposition before any accumulation has occurred would allow for earlier intervention in persons at increased risk for developing AD. Previous work linking amyloid burden and genetic risk relied almost exclusively on APOE, a major AD genetic risk factor. Here, we ask whether a polygenic risk score (PRS) that incorporates an optimized list of common variants linked to AD and excludes APOE is associated with brain amyloid load in cognitively unimpaired older adults.MethodsWe included 291 asymptomatic older participants from the INveStIGation of AlzHeimer's PredicTors (INSIGHT pre-AD) cohort who underwent amyloid imaging, including 83 amyloid-positive (+) participants. We used an Alzheimer's (A) PRS composed of 33 AD risk variants excluding APOE and selected the 17 variants that showed the strongest association with amyloid positivity to define an optimized (oA) PRS. Participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI) study (228 participants, 90 amyloid [+]) were tested as a validation cohort. Finally, 2,300 patients with AD and 6,994 controls from the European Alzheimer's Disease Initiative (EADI) were evaluated.ResultsA-PRS was not significantly associated with amyloid burden in the INSIGHT or ADNI cohorts with or without correction for the APOE genotype. However, oA-PRS was significantly associated with amyloid status independently of APOE adjustment (INSIGHT odds ratio [OR]: 5.26 [1.71–16.88]; ADNI OR: 3.38 [1.02–11.63]). Of interest, oA-PRS accurately discriminated amyloid (+) and (−) APOE ε4 carriers (INSIGHT OR: 181.6 [7.53–10,674.6]; ADNI OR: 44.94 [3.03–1,277]). A-PRS and oA-PRS showed a significant association with disease status in the EADI cohort (OR: 1.68 [1.53–1.85] and 2.06 [1.73–2.45], respectively). Genes assigned to oA-PRS variants were enriched in ontologies related to β-amyloid metabolism and deposition.DiscussionPRSs relying on AD genetic risk factors excluding APOE may improve risk prediction for brain amyloid, allowing stratification of cognitively unimpaired individuals at risk of AD independent of their APOE status.
Published: 2022
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46. MISE EN PLACE D'UN PROTOCOLE IRM MULTIPARAMETRIQUE POUR LA PLANIFICATION DANS LA ZONE ORL

Author: Sayaque, Laura, Leporq, Benjamin, Miran, Chloé, Hamelin, Olivier, Pilleul, Frank, Grégoire, Vincent, Beuf, Olivier, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre Léon Bérard [Lyon], and Sayaque, Laura
Subjects: [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging
Abstract: International audience
Published: 2022

47. Pulmonary nodules localization during video-assisted thoracic surgery with augmented reality

Author: Rouzé, Simon, Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Pontchaillou [Rennes], Université de Rennes 1, Jean-Philippe Verhoye, Jean-Louis Dillenseger, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Dillenseger, Jean-Louis
Subjects: [SDV.MHEP.CHI] Life Sciences [q-bio]/Human health and pathology/Surgery, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, CBCT, recalage, modèle biomécanique, VATS, [SDV.CAN]Life Sciences [q-bio]/Cancer, [SDV.MHEP.CHI]Life Sciences [q-bio]/Human health and pathology/Surgery, [SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, augmented reality, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.CAN] Life Sciences [q-bio]/Cancer, registration, réalité augmentée, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [SDV.MHEP.PSR] Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, biomechanical model, Lung cancer, cancer broncho-pulmonaire
Abstract: Lung cancer is the leading cause of cancer-related death. Surgical resection remains the most important curative treatment modality for early stage disease, with a minimally invasive approach (VATS: Video-Assisted Thoracic Surgery) being the gold standard. Lung cancer screening aims to detect early stage disease amenable to such treatment. However, earlier diagnosis presents difficulties in localizing a smaller sized, deeper located and less dense tumor within the lung parenchyma. Currently, most of the established techniques to localize a tumor are invasive and have significant limitations (complication rates, failure rates, organizational issues). Furthermore, the pneumothorax induced during thoracic surgery, is the primary limiting factor in the use of conventional procedures based on pre-operative CT. The purpose of this study was to develop an alternative approach to localization of tumors, strictly non-invasive and to be performed intra-operatively. Herein, we describe an image-based approach, using cone beam computed tomography (CBCT) acquired intra-operatively in a hybrid operating room. Firstly, we will outline the environmental constraints of using intra-operative CBCT acquisitions and we will show a detailed image analysis. In the second part of the thesis, we will show an estimation of the lung deformation, using a hybrid image-based/biomechanics-based approach for image registration. Finally, we will demonstrate an augmented reality technique to localize the pulmonary nodules. This framework is an innovative and exciting image-based approach; it offers great potential clinical benefit with many possibilities for future development., Le cancer broncho-pulmonaire est un problème de santé publique, représentant la première cause de mortalité par cancer. La chirurgie a une place fondamentale dans sa prise en charge, représentant son seul traitement curatif. Avec le développement des programmes de dépistage, non seulement va augmenter le nombre de diagnostics de cancer pulmonaire, mais surtout le nombre de formes précoces et opérables. Le gold standard de leur prise en charge chirurgicale est maintenant l’approche mini-invasive : la VATS – Video Assisted Thoracic Surgery. Or dans certaines situations (nodule profond, faiblement dense, de petite taille), leur localisation et a fortiori leur résection peut s’avérer complexe. On a alors recours à des dispositifs de localisation. Ceux-ci sont actuellement invasifs en grande majorité, pourvoyeur de difficultés organisationnelles et techniques mais aussi de complications. Dans ce travail, nous détaillons l’élaboration d’une procédure de localisation intra-opératoire alternative strictement basée sur l’image. Le pneumothorax induit par la chirurgie est un frein majeur à l’utilisation de méthodes de recalage traditionnelles, basées sur les scanners pré-opératoires. De ce fait, notre approche repose sur l’utilisation d’une imagerie intra-opératoire acquise en salle hybride, le CBCT. Nous détaillons dans un premier temps les contraintes techniques à l’acquisition intra-opératoire des CBCT ainsi qu’une analyse de ceux-ci. Dans une deuxième partie nous proposons une approche de recalage reposant sur une approche hybride, basée sur l’image et sur un modèle biomécanique, de déformation du poumon. Nous présentons enfin une méthode de localisation en réalité augmentée basée sur les CBCT intra-opératoires. Il s’agit d’une technique innovante, non invasive, strictement basée sur l’image démontrant un intérêt clinique certain et offrant de nombreuses perspectives d’optimisation.
Published: 2022

48. Assessment of skeletal muscle energy metabolism by 31P MRS in COVID19 and Multiple Sclerosis patients: technical and clinical insights

Author: Naëgel, Antoine, Karkouri, Jabrane, Ratiney, Helene, Kennouche, Djahid, Royer, Nicolas, Millet, Guillaume, Slade, Jill, Morel, Jérôme, Croisille, P, Viallon, Magalie, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Siemens Healthineers [Saint-Denis], Wolfson Brain Imaging Centre, University of Cambridge, Laboratoire Interuniversitaire de Biologie de la Motricité (LIBM ), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), department of radiology, Michigan State University, Michigan State University [East Lansing], Michigan State University System-Michigan State University System, Department of Anesthesiology and Critical Care, CHU Saint Etienne, Saint Etienne, and Naegel, Antoine
Subjects: Multiple sclerosis MS, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, 31P MRS, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, 31P nuclear magnetic resonance spectroscopy, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, COVID-19, Skeletal Muscle/metabolism/pathology, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Fatigue, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract: International audience; Dynamic 31P MRS was performed during a standardized exercise of the lower leg, in patients with chronic fatigue enrolled in 2 clinical studies: multiple sclerosis patients and COVID19 patients that were hospitalized in intensive care unit and requiring respiratory assistance. In this work, we also revisit certain assumptions on the metabolite T1 and question shortcuts often made to shorten 31P protocol for a better patient's compliance.
Published: 2022

49. MORE-SPARKLING: non-cartesian trajectories with minimized off-resonance effects

Author: Giliyar Radhakrishna, Chaithya, Daval-Frérot, Guillaume, Massire, Aurélien, Mailhé, Boris, Nadar, Mariappan, Vignaud, Alexandre, Ciuciu, Philippe, Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Modèles et inférence pour les données de Neuroimagerie (MIND), IFR49 - Neurospin - CEA, Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Modelling brain structure, function and variability based on high-field MRI data (PARIETAL), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Siemens Healthineers [Saint-Denis], Siemens Healthineers, Digital Services, Digital Technology and Innovation, European Project: 800945,NUMERICS, Ciuciu, Philippe, and International PhD programme in NUMERICal Simulation - NUMERICS - 0000-00-00 - 0000-00-00 - 800945 - VALID
Subjects: [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences, [SDV.NEU.SC] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences
Abstract: International audience; We augment the recently introduced SPARKLING algorithm and propose an improved mathematical formulation that takes the temporal dependence of the MR signal into account. This prevents the trajectories from sampling similar portions of k-space at different times, thereby reducing distortions and blurring induced by $B_0$ inhomogenieties. Overall, these trajectories present a smooth distribution over time in k-space and Minimized Off-Resonance Effects (MORE-SPARKLING), verified both retrospectively and prospectively with scans performed in vivo at 3T on a healthy volunteer.
Published: 2022

50. Label-free imaging of large samples: 3D rendering and morphological analysis within histological workflows using serial block face imaging

Author: Marine Malloci, Perrine de Villemagne, Paul Dorval, Magalie Feyeux, Stéphanie Blandin, Guillaume Schmid, Philippe Hulin, Perrine Paul Gilloteaux, Santé - François Bonamy, Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Santé de l'Université de Nantes (IRS-UN)-Centre hospitalier universitaire de Nantes (CHU Nantes), Kaerlabs, unité de recherche de l'institut du thorax UMR1087 UMR6291 (ITX), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Nantes Université - UFR de Médecine et des Techniques Médicales (Nantes Univ - UFR MEDECINE), Nantes Université - pôle Santé, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Santé, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ), and Paul-Gilloteaux, Perrine
Subjects: [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging
Abstract: Serial block face imaging (SFBI) is a method used to generate 3-dimensional (3D) reconstruction of a sample via serial image acquisition. Several SBFI approaches have been proposed for large samples, differing in the ability to generate contrast as well as in the nature of the detected signal. We propose a new system that detects the endogenous autofluorescence signal of paraffin-embedded samples. The sample preparation is simplified compared to other approaches, and adapted to be integrated into a routine histological preparation. More specifically, it was designed to limit reagent toxicity and to be compatible with downstream histological processing. We show the usefulness of the technique with a wide range of tissues based on the intrinsic autofluorescence signal. Optimization of quality section recovery offers the possibility to develop correlative approaches and multimodal analysis between the 3D dataset with the 2-dimensional (2D) sections. In addition, contrast and resolution of block-face images allow us to successfully perform post processing analysis and morphology quantifications. Overall, our methodology offers a simple, cost effective and rapid approach to obtain quantitative data on a large sample with no specific staining.
Published: 2022
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