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35 results on '"Finessi, Monica"'

1. Albi score predicts overall survival (OS) in patients with hepatocellular carcinoma (HCC) treated with selective internal radiation therapy (SIRT)

Author

Finessi, Monica, Cioffi, Martina, Grimaldi, Serena, Fronda, Marco, Rovera, Guido, Passera, Roberto, Carucci, Patrizia, Gaia, Silvia, Rolle, Emanuela, Rizza, Giorgia, Colli, Fabio, Saracco, Giorgio Maria, Romagnoli, Renato, Calandri, Marco, Fonio, Paolo, Morbelli, Silvia Daniela, and Doriguzzi Breatta, Andrea

Published
2024
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14. Comparison of Digital versus Analog 68 Ga-PSMA-11 PET/CT Performance in Hormone-Sensitive Prostate Cancer Patients with Early Biochemical Recurrence or Persistence after Radical Treatment.

Author

Rovera, Guido, Grimaldi, Serena, Dall'Armellina, Sara, Zotta, Michela, Finessi, Monica, Passera, Roberto, and Deandreis, Désirée

Subjects
PROSTATE cancer, PROSTATE cancer patients, COMPUTED tomography
Abstract

The aim of this study was to investigate whether the favorable characteristics of novel digital PET/CT (dPET) scanners compared to analog systems (aPET) could translate into an improved disease localization in prostate cancer (PCa) patients with early biochemical recurrence/persistence (BCR/BCP). A retrospective analysis was conducted on 440 consecutive analog (n = 311) or digital (n = 129) 68Ga-PSMA-11 PET/CT scans performed in hormone-sensitive ADT-free PCa patients with early-BCR/BCP (PSA at PET ≤ 2.0 ng/mL), previously treated with radical intent (radical-prostatectomy/radiotherapy). dPET showed a higher positivity rate compared to aPET (48.8% [63/129] vs. 37.3% [116/311], p = 0.03), despite the slightly lower median PSA value of the dPET cohort (0.33 [IQR: 0.26–0.61] vs. 0.55 [IQR: 0.40–0.85] ng/mL, p < 0.01). dPET detection rate was higher in both PSA ranges 0.2–0.5 ng/mL (39.0% [32/82] vs. 25.2% [34/135], p = 0.03) and 0.5–1.0 ng/mL (63.2% [24/38] vs. 40.8% [53/130], p = 0.02), but not for PSA ≥ 1.0 ng/mL. dPET detected a higher per patient median number of pathologic findings (PSMA-RADS ≥ 3) and multi-metastatic cases (>3 lesions) among N1/M1-positive scans (21.7% [10/46] vs. 8.6% [9/105], p = 0.03). Moreover, the proportion of uncertain findings among pathological lesions was significantly lower for dPET than aPET (24.4% [39/160] vs. 38.5% [60/156], p = 0.008). Overall, 68Ga-PSMA-11 dPET showed a better performance compared to aPET, resulting in a higher scan-positivity rate, a higher number of detected pathological lesions, and a lower rate of uncertain findings. [ABSTRACT FROM AUTHOR]

Published
2023
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15. Machine Learning CT-Based Automatic Nodal Segmentation and PET Semi-Quantification of Intraoperative 68 Ga-PSMA-11 PET/CT Images in High-Risk Prostate Cancer: A Pilot Study.

Author

Rovera, Guido, Grimaldi, Serena, Oderda, Marco, Finessi, Monica, Giannini, Valentina, Passera, Roberto, Gontero, Paolo, and Deandreis, Désirée

Subjects
COMPUTED tomography, MACHINE learning, PROSTATE cancer, PROSTATE cancer patients, THREE-dimensional imaging, WHOLE body imaging
Abstract

High-resolution intraoperative PET/CT specimen imaging, coupled with prostate-specific membrane antigen (PSMA) molecular targeting, holds great potential for the rapid ex vivo identification of disease localizations in high-risk prostate cancer patients undergoing surgery. However, the accurate analysis of radiotracer uptake would require time-consuming manual volumetric segmentation of 3D images. The aim of this study was to test the feasibility of using machine learning to perform automatic nodal segmentation of intraoperative 68Ga-PSMA-11 PET/CT specimen images. Six (n = 6) lymph-nodal specimens were imaged in the operating room after an e.v. injection of 2.1 MBq/kg of 68Ga-PSMA-11. A machine learning-based approach for automatic lymph-nodal segmentation was developed using only open-source Python libraries (Scikit-learn, SciPy, Scikit-image). The implementation of a k-means clustering algorithm (n = 3 clusters) allowed to identify lymph-nodal structures by leveraging differences in tissue density. Refinement of the segmentation masks was performed using morphological operations and 2D/3D-features filtering. Compared to manual segmentation (ITK-SNAP v4.0.1), the automatic segmentation model showed promising results in terms of weighted average precision (97–99%), recall (68–81%), Dice coefficient (80–88%) and Jaccard index (67–79%). Finally, the ML-based segmentation masks allowed to automatically compute semi-quantitative PET metrics (i.e., SUVmax), thus holding promise for facilitating the semi-quantitative analysis of PET/CT images in the operating room. [ABSTRACT FROM AUTHOR]

Published
2023
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16. Cost-effectiveness analysis of personalised versus standard dosimetry for selective internal radiation therapy with TheraSphere in patients with hepatocellular carcinoma

Author

Rognoni, Carla, primary, Barcellona, Maria Rosa, additional, Bargellini, Irene, additional, Bavetta, Maria Grazia, additional, Bellò, Marilena, additional, Brunetto, Maurizia, additional, Carucci, Patrizia, additional, Cioni, Roberto, additional, Crocetti, Laura, additional, D’Amato, Fabio, additional, D’Amico, Mario, additional, Deagostini, Simona, additional, Deandreis, Désirée, additional, De Simone, Paolo, additional, Doriguzzi, Andrea, additional, Finessi, Monica, additional, Fonio, Paolo, additional, Grimaldi, Serena, additional, Ialuna, Salvatore, additional, Lagattuta, Fabio, additional, Masi, Gianluca, additional, Moreci, Antonio, additional, Scalisi, Daniele, additional, Virdone, Roberto, additional, and Tarricone, Rosanna, additional

Published
2022
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20. The Challenge of Evaluating Response to Peptide Receptor Radionuclide Therapy in Gastroenteropancreatic Neuroendocrine Tumors: The Present and the Future

Author

Liberini, Virginia, primary, Huellner, Martin W., additional, Grimaldi, Serena, additional, Finessi, Monica, additional, Thuillier, Philippe, additional, Muni, Alfredo, additional, Pellerito, Riccardo E., additional, Papotti, Mauro G., additional, Piovesan, Alessandro, additional, Arvat, Emanuela, additional, and Deandreis, Désirée, additional

Published
2020
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22. The Challenge of Evaluating Response to Peptide Receptor Radionuclide Therapy in Gastroenteropancreatic Neuroendocrine Tumors: The Present and the Future

Author

Liberini, Virginia, Huellner, Martin W; https://orcid.org/0000-0002-4849-3292, Grimaldi, Serena, Finessi, Monica, Thuillier, Philippe, Muni, Alfredo, Pellerito, Riccardo E, Papotti, Mauro G, Piovesan, Alessandro, Arvat, Emanuela, Deandreis, Désirée, Liberini, Virginia, Huellner, Martin W; https://orcid.org/0000-0002-4849-3292, Grimaldi, Serena, Finessi, Monica, Thuillier, Philippe, Muni, Alfredo, Pellerito, Riccardo E, Papotti, Mauro G, Piovesan, Alessandro, Arvat, Emanuela, and Deandreis, Désirée

Abstract

The NETTER-1 study has proven peptide receptor radionuclide therapy (PRRT) to be one of the most effective therapeutic options for metastatic neuroendocrine tumors (NETs), improving progression-free survival and overall survival. However, PRRT response assessment is challenging and no consensus on methods and timing has yet been reached among experts in the field. This issue is owed to the suboptimal sensitivity and specificity of clinical biomarkers, limitations of morphological response criteria in slowly growing tumors and necrotic changes after therapy, a lack of standardized parameters and timing of functional imaging and the heterogeneity of PRRT protocols in the literature. The aim of this article is to review the most relevant current approaches for PRRT efficacy prediction and response assessment criteria in order to provide an overview of suitable tools for safe and efficacious PRRT.

Published
2020

29. Impact of Radioguided Occult Lesion Localization (ROLL) in the management of cervical recurrences from differentiated thyroid cancer

Author

Garbaccio, Viviana, primary, Menga, Massimo, additional, Mensa, Giovanni, additional, Passera, Roberto, additional, Galati, Antonello, additional, Codegone, Alessandra, additional, Finessi, Monica, additional, Pilati, Emanuela, additional, Deandreis, Désirée, additional, and Pellerito, Riccardo E., additional

Published
2017
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31. 99mTc-MIBI Imaging in the Presurgical Characterization of Thyroid Follicular Neoplasms: Relationship to Multidrug Resistance Protein Expression

Author

Saggiorato, Enrico, primary, Angusti, Tiziana, additional, Rosas, Rosy, additional, Martinese, Morena, additional, Finessi, Monica, additional, Arecco, Federico, additional, Trevisiol, Edoardo, additional, Bergero, Nicoletta, additional, Puligheddu, Barbara, additional, Volante, Marco, additional, Podio, Valerio, additional, Papotti, Mauro, additional, and Orlandi, Fabio, additional

Published
2009
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34. Imaging medullary thyroid cancer patients with detectable serum markers: state of the art and future perspectives

Author

Julien Hadoux, Désirée Deandreis, Domenico Salvatore, Martin Schlumberger, Carmela Nappi, Monica Finessi, Alberto Cuocolo, Michele Klain, Raffaele Ambrosio, Klain, Michele, Hadoux, Julien, Nappi, Carmela, Finessi, Monica, Ambrosio, Raffaele, Schlumberger, Martin, Cuocolo, Alberto, Deandreis, Désirée, and Salvatore, Domenico

Subjects
medicine.medical_specialty, Medullary cavity, PET/CT, Endocrinology, Diabetes and Metabolism, Disease, Medullary Thyroid Carcinoma, Imaging, Thyroid carcinoma, Endocrinology, Positron Emission Tomography Computed Tomography, medicine, Humans, Prospective Studies, Thyroid Neoplasms, Tumor marker, Ultrasonography, PET-CT, business.industry, Thyroid, Medullary thyroid cancer, medicine.disease, Carcinoma, Neuroendocrine, medicine.anatomical_structure, MTC, Radiology, business, Biomarkers, Serum markers
Abstract

Purpose: Medullary thyroid carcinoma (MTC) originates from thyroid parafollicular C-cells and represents

Published
2021

35. 68Ga-Prostate-Specific Membrane Antigen 11 PET/CT Detects Residual Glioblastoma After Radical Surgery in a Patient With Synchronous Recurrent Prostate Cancer: A Case Report

Author

Michela Zotta, Emanuela Pilati, Daniele Giovanni Nicolotti, Francesco Ceci, Désirée Deandreis, Beatrice Dionisi, Ivan Cerio, Marilena Bellò, Monica Finessi, Pilati, Emanuela, Nicolotti, Daniele Giovanni, Ceci, Francesco, Finessi, Monica, Cerio, Ivan, Dionisi, Beatrice, Zotta, Michela, Bellò, Marilena, and Deandreis, Désirée

Subjects
Male, Neoplasm, Residual, Gallium Radioisotopes, urologic and male genital diseases, Aged, Disease Progression, Edetic Acid, Glioblastoma, Humans, Prostatic Neoplasms, Recurrence, Oligopeptides, Positron Emission Tomography Computed Tomography, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Prostate cancer, 0302 clinical medicine, pet, medicine, Glutamate carboxypeptidase II, Neoplasm, Radiology, Nuclear Medicine and imaging, Radical surgery, Gallium Isotopes, PET-CT, business.industry, psma: postate cancer, General Medicine, medicine.disease, Transmembrane protein, Residual, 030220 oncology & carcinogenesis, Cancer research, Recurrent prostate cancer, business
Abstract

Prostate-specific membrane antigen (PSMA) is a transmembrane enzyme also known as folate hydrolase 1 highly expressed by prostate cancer (PCa) cells. However, PSMA overexpression by tumor-associated neovasculature of a variety of solid tumors, including glioblastoma (GBM), has also been proven. This clinical case reports about a 67-year-old man with a history of PCa who underwent radical surgery for GBM and performed a Ga-PSMA-11 PET/CT to restage PCa. PET imaging showed PSMA uptake in GBM residual disease after surgery. This finding suggests a possible role of PSMA inhibitors as diagnostic and therapeutic agents in patients affected by GBM.

Published
2020

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