65 results on '"Wimberley, Catriona"'
Search Results
52. A data driven method for estimation of Bavail and appKD using a single injection protocol with [11C]raclopride in the mouse.
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Wimberley, Catriona J., Fischer, Kristina, Reilhac, Anthonin, Pichler, Bernd J., and Gregoire, Marie Claude
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MEDICAL protocols , *LABORATORY mice , *NEURODEGENERATION , *ETIOLOGY of diseases , *PARAMETER estimation - Abstract
Purpose: The partial saturation approach (PSA) is a simple, single injection experimental protocol that will estimate both Bavail and appKD without the use of blood sampling. This makes it ideal for use in longitudinal studies of neurodegenerative diseases in the rodent. The aim of this study was to increase the range and applicability of the PSA by developing a data driven strategy for determining reliable regional estimates of receptor density (Bavail) and in vivo affinity (1/appKD), and validate the strategy using a simulation model. Methods: The data driven method uses a time window guided by the dynamic equilibrium state of the system as opposed to using a static time window. To test the method, simulations of partial saturation experiments were generated and validated against experimental data. The experimental conditions simulated included a range of receptor occupancy levels and three different Bavail and appKD values to mimic diseases states. Also the effect of using a reference region and typical PET noise on the stability and accuracy of the estimates was investigated. Results: The investigations showed that the parameter estimates in a simulated healthy mouse, using the data driven method were within 10±30% of the simulated input for the range of occupancy levels simulated. Throughout all experimental conditions simulated, the accuracy and robustness of the estimates using the data driven method were much improved upon the typical method of using a static time window, especially at low receptor occupancy levels. Introducing a reference region caused a bias of approximately 10% over the range of occupancy levels. Conclusions: Based on extensive simulated experimental conditions, it was shown the data driven method provides accurate and precise estimates of Bavail and appKD for a broader range of conditions compared to the original method. [ABSTRACT FROM AUTHOR]
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- 2014
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53. In Vivo Measurement of Hippocampal GABAA/cBZR Density with [18F]-Flumazenil PET for the Study of Disease Progression in an Animal Model of Temporal Lobe Epilepsy.
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Vivash, Lucy, Gregoire, Marie-Claude, Bouilleret, Viviane, Berard, Alexis, Wimberley, Catriona, Binns, David, Roselt, Peter, Katsifis, Andrew, Myers, Damian E., Hicks, Rodney J., O'Brien, Terence J., and Dedeurwaerdere, Stefanie
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TEMPORAL lobe epilepsy ,HIPPOCAMPUS physiology ,GABA agents ,DISEASE progression ,ANIMAL models in research ,BENZODIAZEPINES ,FLUMAZENIL - Abstract
Purpose: Imbalance of inhibitory GABAergic neurotransmission has been proposed to play a role in the pathogenesis of temporal lobe epilepsy (TLE). This study aimed to investigate whether [
18 F]-flumazenil ([18 F]-FMZ) PET could be used to non-invasively characterise GABAA /central benzodiazepine receptor (GABAA /cBZR) density and affinity in vivo in the post-kainic acid status epilepticus (SE) model of TLE. Methods: Dynamic [18 F]-FMZ -PET scans using a multi-injection protocol were acquired in four male wistar rats for validation of the partial saturation model (PSM). SE was induced in eight male Wistar rats (10 weeks of age) by i.p. injection of kainic acid (7.5–25 mg/kg), while control rats (n = 7) received saline injections. Five weeks post-SE, an anatomic MRI scan was acquired and the following week an [18 F]-FMZ PET scan (3.6–4.6 nmol). The PET data was co-registered to the MRI and regions of interest drawn on the MRI for selected structures. A PSM was used to derive receptor density and apparent affinity from the [18 F]-FMZ PET data. Key Findings: The PSM was found to adequately model [18 F]-FMZ binding in vivo. There was a significant decrease in hippocampal receptor density in the SE group (p<0.01), accompanied by an increase in apparent affinity (p<0.05) compared to controls. No change in cortical receptor binding was observed. Hippocampal volume reduction and cell loss was only seen in a subset of animals. Histological assessment of hippocampal cell loss was significantly correlated with hippocampal volume measured by MRI (p<0.05), but did not correlate with [18 F]-FMZ binding. Significance: Alterations to hippocampal GABAA /cBZR density and affinity in the post-kainic acid SE model of TLE are detectable in vivo with [18 F]-FMZ PET and a PSM. These changes are independent from hippocampal cell and volume loss. [18 F]-FMZ PET is useful for investigating the role that changes GABAA /cBZR density and binding affinity play in the pathogenesis of TLE. [ABSTRACT FROM AUTHOR]- Published
- 2014
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54. Multi‐organ kinetic modeling for Na[18F]F pre‐clinical total‐body PET studies.
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Benitez‐Aurioles, Jose, Clegg, Paul S., Alcaide‐Corral, Carlos J., Wimberley, Catriona, and Tavares, Adriana A. S.
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POSITRON emission tomography , *BIOLOGICAL systems , *INTRAVENOUS injections , *TISSUE analysis , *ACTIVITY-based costing - Abstract
Background Purpose Methods Results Conclusion Total‐body positron emission tomography (PET), already well‐established in the pre‐clinical setting, makes it possible to study multi‐parameters in biological systems as a whole, rather than focusing on single tissues analysis. Simultaneous kinetic analysis of multiple organs poses some daunting new challenges.To explore quantifying the pharmacokinetics of Na[18F]F in multiple dissimilar murine organs simultaneously in vivo with total‐body PET imaging using different compartmental models for each organ and a shared cardiovascular system.Six mice underwent a 60‐min total‐body PET scan following intravenous bolus injection of Na[18F]F. Compartmental models were constructed for each organ (heart, lungs, liver, kidneys, and bone) using an image derived input function. Non‐linear least squares fitting of a model that connects the five organs to a shared cardiovascular system was used to analyze both the first 3 min of data and the full hour. Analysis was repeated 5000 times using different initial parameter values for each duration, permitting analysis of correlations between parameters.The models give a good qualitative account of the activity curves irrespective of the duration of the data; however, the quality of the fits to 3 min of data (average χν2$\chi _\nu ^2$ is 2.72) was generally better. Comparison of perfusion values to literature values was possible for the liver and lungs with the former (liver, 0.540 ± 0.177 mL/ml/min) being well‐above expectations and the latter (lungs, 0.184 ± 0.413 mL/ml/min) in rough agreement. Correlations between microparameter values (especially affecting
k2 ) caused very noticeable problems for data modeling from both the kidneys and the femur.The present study demonstrates an approach to performing kinetic modeling for multiple organs simultaneously with Na[18F]F. The observed correlations between microparameter values remain a challenge. Nonetheless, many microparameters can be estimated reliably with a quantitative analysis of perfusion being possible for some organs. [ABSTRACT FROM AUTHOR]- Published
- 2024
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55. Impact of cerebral blood flow and amyloid load on SUVR bias
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Heeman, Fiona, Yaqub, Maqsood, Hendriks, Janine, van Berckel, Bart N. M., Collij, Lyduine E., Gray, Katherine R., Manber, Richard, Wolz, Robin, Garibotto, Valentina, Wimberley, Catriona, Ritchie, Craig, Barkhof, Frederik, Gispert López, Juan Domingo, Vállez García, David, Lopes Alves, Isadora, Lammertsma, Adriaan A., AMYPAD Consortium, Radiology and nuclear medicine, Amsterdam Neuroscience - Brain Imaging, Amsterdam Neuroscience - Neurodegeneration, Amsterdam Neuroscience - Neuroinfection & -inflammation, AMS - Tissue Function & Regeneration, and Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep
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Amyloid PET ,Quantification ,Radiology, Nuclear Medicine and imaging ,Cerebral blood flow ,Alzheimer’s disease ,SUVR bias - Abstract
Background: despite its widespread use, the semi-quantitative standardized uptake value ratio (SUVR) may be biased compared with the distribution volume ratio (DVR). This bias may be partially explained by changes in cerebral blood flow (CBF) and is likely to be also dependent on the extent of the underlying amyloid-β (Aβ) burden. This study aimed to compare SUVR with DVR and to evaluate the effects of underlying Aβ burden and CBF on bias in SUVR in mainly cognitively unimpaired participants. Participants were scanned according to a dual-time window protocol, with either [18F]flutemetamol (N = 90) or [18F]florbetaben (N = 31). The validated basisfunction-based implementation of the two-step simplified reference tissue model was used to derive DVR and R1 parametric images, and SUVR was calculated from 90 to 110 min post-injection, all with the cerebellar grey matter as reference tissue. First, linear regression and Bland-Altman analyses were used to compare (regional) SUVR with DVR. Then, generalized linear models were applied to evaluate whether (bias in) SUVR relative to DVR could be explained by R1 for the global cortical average (GCA), precuneus, posterior cingulate, and orbitofrontal region. Results: despite high correlations (GCA: R2 ≥ 0.85), large overestimation and proportional bias of SUVR relative to DVR was observed. Negative associations were observed between both SUVR or SUVRbias and R1, albeit non-significant. Conclusion: the present findings demonstrate that bias in SUVR relative to DVR is strongly related to underlying Aβ burden. Furthermore, in a cohort consisting mainly of cognitively unimpaired individuals, the effect of relative CBF on bias in SUVR appears limited. EudraCT Number: 2018-002277-22, registered on: 25-06-2018. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: this project received funding from the EU/EFPIA Innovative Medicines Initiative (IMI) Joint Undertaking (EMIF grant:115372) and the EU-EFPIA IMI-2 Joint Undertaking (grant:115952). This joint undertaking receives support from the European Union’s Horizon 2020 research and innovation program and EFPIA. This communication reflects the views of the authors and neither IMI nor the European Union and EFPIA are liable for any use that may be made of the information contained herein. FB is supported by the NIHR biomedical research centre at UCLH. JDG holds a ‘Ramón y Cajal’ fellowship (RYC-2013-13054) from the Spanish Ministry of Science, Innovation and Universities. VG reports grants from the Swiss National Science Foundation (projects:320030_169876, 320030_185028 and IZSEZ0_188355) and the Velux foundation (project:1123).
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56. Increased microglial activation in patients with Parkinson disease using [18F]-DPA714 TSPO PET imaging.
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Lavisse, Sonia, Goutal, Sébastien, Wimberley, Catriona, Tonietto, Mattéo, Bottlaender, Michel, Gervais, Philippe, Kuhnast, Bertrand, Peyronneau, Marie-Anne, Barret, Olivier, Lagarde, Julien, Sarazin, Marie, Hantraye, Philippe, Thiriez, Claire, and Remy, Philippe
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PARKINSON'S disease , *WILCOXON signed-rank test , *DISEASE duration , *TWO-way analysis of variance , *BONFERRONI correction , *CELL metabolism , *DISEASE progression , *FRONTAL lobe , *RESEARCH , *INFLAMMATION , *BASAL ganglia , *ALKALOIDS , *HETEROCYCLIC compounds , *TIME , *RESEARCH methodology , *CELL receptors , *RADIOISOTOPES , *MEDICAL cooperation , *EVALUATION research , *FLUORINE isotopes , *COMPARATIVE studies , *BRAIN stem - Abstract
Introduction: Increasing evidence suggests that neuroinflammation is active in Parkinson disease (PD) and contributes to neurodegeneration. This process can be studied in vivo with PET and radioligands targeting TSPO, upregulated in activated microglia. Initial PET studies investigating microglial activation in PD with the [11C]-PK11195 have provided inconclusive results. Here we assess the presence and distribution of neuroinflammatory response in PD patients using [18F]-DPA714 and to correlate imaging biomarkers to dopamine transporter imaging and clinical status.Methods: PD patients (n = 24, Hoehn and Yahr I-III) and 28 healthy controls were scanned with [18F]-DPA714 and [11C]-PE2I and analyzed. They were all genotyped for TSPO polymorphism. Regional binding parameters were estimated (reference Logan graphical approach with supervised cluster analysis). Impact of TSPO genotype was analyzed using Wilcoxon signed-rank test. Differences between groups were investigated using a two-way ANOVA and Tukey post hoc tests.Results: PD patients showed significantly higher [18F]-DPA714 binding compared to healthy controls bilaterally in the midbrain (p < 0.001), the frontal cortex (p = 0.001), and the putamen contralateral to the more clinically affected hemibody (p = 0.038). Microglial activation in these regions did not correlate with the severity of motor symptoms, disease duration nor putaminal [11C]-PE2I uptake. However, there was a trend toward a correlation between cortical TSPO binding and disease duration (p = 0.015 uncorrected, p = 0.07 after Bonferroni correction).Conclusion: [18F]-DPA714 binding confirmed that there is a specific topographic pattern of microglial activation in the nigro-striatal pathway and the frontal cortex of PD patients.Trial Registration: Trial registration: INFLAPARK, NCT02319382. Registered 18 December 2014- Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT02319382. [ABSTRACT FROM AUTHOR]- Published
- 2021
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57. Clinical Effect of Early vs Late Amyloid Positron Emission Tomography in Memory Clinic Patients
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Altomare, Daniele, Barkhof, Frederik, Caprioglio, Camilla, Collij, Lyduine E., Scheltens, Philip, Lopes Alves, Isadora, Bouwman, Femke, Berkhof, Johannes, van Maurik, Ingrid S., Garibotto, Valentina, Moro, Christian, Delrieu, Julien, Payoux, Pierre, Saint-Aubert, Laure, Hitzel, Anne, Molinuevo, José Luis, Grau-Rivera, Oriol, Gispert, Juan Domingo, Drzezga, Alexander, Jessen, Frank, Zeyen, Philip, Nordberg, Agneta, Savitcheva, Irina, Jelic, Vesna, Walker, Zuzana, Edison, Paul, Demonet, Jean-François, Gismondi, Rossella, Farrar, Gill, Stephens, Andrew W., Frisoni, Giovanni B., Abdelnour, Carla, Aguilera, Nuria, Aksman, Leon, Alarcón-Martín, Emilio, Alegret, Montse, Alonso-Lana, Silvia, Andersen, Pia, Arab, Majd, Aspö, Malin, Bader, Ilona, Bader, Ilse, Banton, Nigel, Barnes, Rodrigo, Barrie, Dawn, Battle, Mark, Belén Collado, Ana, Bellet, Julie, Biger, Marine, Birck, Cindy, Bischof, Gerard, Boada, Mercè, Boellaard, Ronald, Bogdanovic, Nenad, Bollack, Ariane, Bombois, Stéphanie, Borg, Stefan, Borjesson-Hanson, Anne, Boskov, Vladimir, Boutantin, Justine, Boutoleau-Bretonniere, Claire, Breuilh, Laetitia, Bringman, Eva, Brunel, Baptiste, Bucci, Marco, Buckley, Chris, Buendía, Mar, Bullich, Santi, Calvet, Anna, Cañada, Laia, Cañada, Marta, Cardoso, Jorge, Carlier, Jasmine, Carre, Elise, Carrie, Isabelle, Cassagnaud, Pascaline, Cassol, Emmanuelle, Castilla-Martí, Miguel, Cazalon, Elodie, Chaarriau, Tiphaine, Chaigeau, Rachel, Chalmers, Taylor, Clerc, Marie-Thérèse, Clerigue, Montserrat, Cognat, Emmanuel, Coll, Nina, Connely, Peter, Cordier, Elodie, Costes, Corine, Coulange, Camille, Courtemanche, Hélène, Creisson, Eric, Crinquette, Charlotte, Cuevas, Rosario, Cufi, Marie-Noëlle, Dardenne, Sophie, de Arriba, Maria, de Costa Luis, Casper, de Gier, Yvonne, de Verbizier Lonjon, Delphine, Dekker, Veronique, Dekyndt, Bérengère, Delbeuck, Xavier, Deramecourt, Vincent, Desclaux, Françoise, Diaz, Carlos, Diego, Susana, Djafar, Mehdi, Dölle, Britta, Doull, Laura, Dricot, Laurence, Dubois, Bruno, Dumont, Julien, Dumur, Jean, Dumurgier, Julien, Dvorak, Martin, Ecay, Mirian, Escher, Claus, Estanga, Ainara, Esteban, Ester, Fanjaud, Guy, Fauria, Karine, Felez Sanchez, Marta, Feukam Talla, Patrick, Ford, Lisa, Fuster, David, Gabelle, Audrey, Gaubert, Sinead, Gauci, Cédric, Geldhof, Christine, Georges, Jean, Ghika, Joseph, González, Elena, Goovaerts, Valerie, Goulart, Denis Mariano, Grasselli, Caroline, Gray, Katherine, Greensmith, Martin, Grozn, Laure, Guillemaud, Céline, Gunn, Fiona, Guntur Ramkumar, Prasad, Hagman, Göran, Hansseuw, Bernard, Heeman, Fiona, Hendriks, Janine, Himmelmann, Jakob, Hives, Florent, Hoenig, Merle, Hourrègue, Claire, Hudson, Justine, Huguet, Jordi, Ibarria, Marta, Iidow, Ifrah, Indart, Sandrine, Ingala, Silvia, Ivanoiu, Adrian, Jacquemont, Charlotte, Jiao, Jieqing, Jofresa, Sara, Jonsson, Cathrine, Kaliukhovich, Dzmitry, Kern, Silke, Kivipelto, Miia, Knezevic, Iva, Kuchcinski, Grégory, Laforce, Manon, Lafuente, Asunción, Lala, Françoise, Lammertsma, Adriaan, Lax, Michelle, Lebouvier, Thibaud, Lee, Ho-Yun, Lee, Lean, Leeuwis, Annebet, Lefort, Amandine, Legrand, Jean-François, Leroy, Mélanie, Lesoil Markowski, Constance, Levy, Marcel, Lhommel , Renaud, Lopes, Renaud, Lorenzini, Luigi, Lorette, Adrien, Luckett, Emma, Lundin, Marie, Mackowiak, Marie-Anne, Malotaux, Vincent, Manber, Richard, Manyakov, Nikolay, Markiewicz, Pawel, Marne, Paula, Marquié, Marta, Martín, Elvira, Martínez, Joan, Martinez Lage, Pablo, Mastenbroek, Sophie E., Maureille, Aurélien, Meersmans, Karen, Mett, Anja, Milne, Joseph, Minguillón, Carolina, Modat, Marc, Montrreal, Laura, Müller, Theresa, Muniz, Graciela, Mutsarts, Henk Jan, Nilsson, Ted, Ninerola, Aida, Novaes, Wilse, Nuno Carmelo Pires Silva, Joao, Operto, Greg, Orellana, Adela, Ousset, Pierre-Jean, Outteryck, Olivier, Pallardy, Amandine, Palombit, Alessandro, Pancho, Ana, Pappon, Martin, Paquet, Claire, Pariente, Jérémie, Pasquier, Florence, Peaker, Harry, Pelejà, Esther, Pennetier, Delphine, Pérez-Cordón, Alba, Perissinotti, Andrés, Perrenoud, Matthieu Paul, Petit, Sandrine, Petyt, Grégory, Pfeil, Julia, Pirotte, Blanche, Pla, Sandra, Plaza Wuthrich, Sonia, Poitrine, Lea, Pollet, Marianne, Poncelet, Jean-Benoit, Prior, John, Pruvo, Jean-Pierre, Putallaz, Pauline, Queneau, Mathieu, Quenon , Lisa, Rădoi, Andreea, Rafiq, Marie, Ramage, Fiona, Ramis, Maribel, Reinwald, Michael, Rios, Gonzalo, Ritchie, Craig, Rodriguez, Elena, Rollin, Adeline, Rouaud, Olivier, Sacuiu, Simona, Sala, Arianna, Salabert, Anne-Sophie, Saldias, Jon, Salvadó, Gemma, Sanabria, Angela, Sannemann, Lena, Sastre, Nathalie, Savina, Daniela, Schaeverbeke, Jolien, Schildermans, Carine, Schmidt, Mark, Schöll, Michael, Schuermans, Jeroen, Semah, Franck, Shekari, Mahnaz, Skoog, Ingmar, Sotolongo-Grau, Oscar, Stephens, Andrew, Stewart, Tiffany, Stutzmann, Jennyfer, Tait, Murray, Tárraga, Lluis, Tartari, Juan Pablo, Tysen-backstrom, Ann-christine, Valero, Sergi, Vallez Garcia, David, van Berckel, Bart N.M., van Essen, Martijn, Van Laere, Koen, van Leur, Jeroen, Vandenberghe, Rik, Vellas, Bruno, Virolinen, Jukka, Visser, Pieter Jelle, Walles, Håkan, Wallin, Emilia, Whitelaw, Grant, Wimberley, Catriona, Win , Zarni, Wink, Alle Meije, Wolz, Robin, Woodside, John, Yaqub, Maqsood, and Zettergren, Anna
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58. Clinical Effect of Early vs Late Amyloid Positron Emission Tomography in Memory Clinic Patients: The AMYPAD-DPMS Randomized Clinical Trial
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Altomare, Daniele, Barkhof, Frederik, Moro, Christian, Delrieu, Julien, Payoux, Pierre, Saint-Aubert, Laure, Hitzel, Anne, Molinuevo, José Luis, Grau-Rivera, Oriol, Gispert, Juan Domingo, Drzezga, Alexander, Jessen, Frank, Caprioglio, Camilla, Zeyen, Philip, Nordberg, Agneta, Savitcheva, Irina, Jelic, Vesna, Walker, Zuzana, Edison, Paul, Demonet, Jean-François, Gismondi, Rossella, Farrar, Gill, Stephens, Andrew W, Collij, Lyduine E, Frisoni, Giovanni B, Disease, Amyloid Imaging to Prevent Alzheimer’s, Scheltens, Philip, Lopes Alves, Isadora, Bouwman, Femke, Berkhof, Johannes, van Maurik, Ingrid S, Garibotto, Valentina, Cuevas, Rosario, Cufi, Marie-Noëlle, Dardenne, Sophie, de Arriba, Maria, de Costa Luis, Casper, de Gier, Yvonne, de Verbizier Lonjon, Delphine, Dekker, Veronique, Dekyndt, Bérengère, Delbeuck, Xavier, Delrieu, Julien, Demonet, Jean-François, Deramecourt, Vincent, Desclaux, Françoise, Diaz, Carlos, Diego, Susana, Djafar, Mehdi, Dölle, Britta, Doull, Laura, Dricot, Laurence, Drzezga, Alexander, Dubois, Bruno, Dumont, Julien, Dumur, Jean, Dumurgier, Julien, Dvorak, Martin, Ecay, Mirian, Edison, Paul, Escher, Claus, Estanga, Ainara, Esteban, Ester, Fanjaud, Guy, Farrar, Gill, Fauria, Karine, Felez Sanchez, Marta, Feukam Talla, Patrick, Ford, Lisa, Frisoni, Giovanni B, Fuster, David, Gabelle, Audrey, Garibotto, Valentina, Gaubert, Sinead, Gauci, Cédric, Geldhof, Christine, Georges, Jean, Ghika, Joseph, Gismondi, Rossella, Gispert, Juan Domingo, González, Elena, Goovaerts, Valerie, Goulart, Denis Mariano, Grasselli, Caroline, Grau-Rivera, Oriol, Gray, Katherine, Greensmith, Martin, Grozn, Laure, Guillemaud, Céline, Gunn, Fiona, Guntur Ramkumar, Prasad, Hagman, Göran, Hansseuw, Bernard, Heeman, Fiona, Hendriks, Janine, Himmelmann, Jakob, Hitzel, Anne, Hives, Florent, Hoenig, Merle, Hourrègue, Claire, Hudson, Justine, Huguet, Jordi, Ibarria, Marta, Iidow, Ifrah, Indart, Sandrine, Ingala, Silvia, Ivanoiu, Adrian, Jacquemont, Charlotte, Jelic, Vesna, Jessen, Frank, Jiao, Jieqing, Jofresa, Sara, Jonsson, Cathrine, Kaliukhovich, Dzmitry, Kern, Silke, Kivipelto, Miia, Knezevic, Iva, Kuchcinski, Grégory, Laforce, Manon, Lafuente, Asunción, Lala, Françoise, Lammertsma, Adriaan, Lax, Michelle, Lebouvier, Thibaud, Lee, Ho-Yun, Lee, Lean, Leeuwis, Annebet, Lefort, Amandine, Legrand, Jean-François, Leroy, Mélanie, Lesoil Markowski, Constance, Levy, Marcel, Lhommel, Renaud, Lopes, Renaud, Lopes Alves, Isadora, Lorenzini, Luigi, Lorette, Adrien, Luckett, Emma, Lundin, Marie, Mackowiak, Marie-Anne, Malotaux, Vincent, Manber, Richard, Manyakov, Nikolay, Markiewicz, Pawel, Marne, Paula, Marquié, Marta, Martín, Elvira, Martínez, Joan, Martinez Lage, Pablo, Mastenbroek, Sophie E, Maureille, Aurélien, Meersmans, Karen, Mett, Anja, Milne, Joseph, Minguillón, Carolina, Modat, Marc, Molinuevo, José Luis, Montrreal, Laura, Moro, Christian, Müller, Theresa, Muniz, Graciela, Mutsarts, Henk Jan, Nilsson, Ted, Ninerola, Aida, Nordberg, Agneta, Novaes, Wilse, Nuno Carmelo Pires Silva, Joao, Operto, Greg, Orellana, Adela, Ousset, Pierre-Jean, Outteryck, Olivier, Pallardy, Amandine, Palombit, Alessandro, Pancho, Ana, Pappon, Martin, Paquet, Claire, Pariente, Jérémie, Pasquier, Florence, Payoux, Pierre, Peaker, Harry, Pelejà, Esther, Pennetier, Delphine, Pérez-Cordón, Alba, Perissinotti, Andrés, Perrenoud, Matthieu Paul, Petit, Sandrine, Petyt, Grégory, Pfeil, Julia, Pirotte, Blanche, Pla, Sandra, Plaza Wuthrich, Sonia, Poitrine, Lea, Pollet, Marianne, Poncelet, Jean-Benoit, Prior, John, Pruvo, Jean-Pierre, Putallaz, Pauline, Queneau, Mathieu, Quenon, Lisa, Rădoi, Andreea, Rafiq, Marie, Ramage, Fiona, Ramis, Maribel, Reinwald, Michael, Rios, Gonzalo, Ritchie, Craig, Rodriguez, Elena, Rollin, Adeline, Rouaud, Olivier, Sacuiu, Simona, Saint-Aubert, Laure, Sala, Arianna, Salabert, Anne-Sophie, Saldias, Jon, Salvadó, Gemma, Sanabria, Angela, Sannemann, Lena, Sastre, Nathalie, Savina, Daniela, Savitcheva, Irina, Schaeverbeke, Jolien, Scheltens, Philip, Schildermans, Carine, Schmidt, Mark, Schöll, Michael, Schuermans, Jeroen, Semah, Franck, Shekari, Mahnaz, Skoog, Ingmar, Sotolongo-Grau, Oscar, Stephens, Andrew, Stewart, Tiffany, Stutzmann, Jennyfer, Tait, Murray, Tárraga, Lluis, Tartari, Juan Pablo, Tysen-Backstrom, Ann-Christine, Valero, Sergi, Vallez Garcia, David, van Berckel, Bart N M, van Essen, Martijn, Van Laere, Koen, van Leur, Jeroen, van Maurik, Ingrid S, Vandenberghe, Rik, Vellas, Bruno, Virolinen, Jukka, Visser, Pieter Jelle, Walker, Zuzana, Walles, Håkan, Wallin, Emilia, Whitelaw, Grant, Abdelnour, Carla, Wimberley, Catriona, Win, Zarni, Wink, Alle Meije, Wolz, Robin, Woodside, John, Yaqub, Maqsood, Zettergren, Anna, Zeyen, Philip, Aguilera, Nuria, Aksman, Leon, Alarcón-Martín, Emilio, Alegret, Montse, Alonso-Lana, Silvia, Altomare, Daniele, Andersen, Pia, Arab, Majd, Aspö, Malin, Bader, Ilona, Bader, Ilse, Banton, Nigel, Barkhof, Frederik, Barnes, Rodrigo, Barrie, Dawn, Battle, Mark, Belén Collado, Ana, Bellet, Julie, Berkhof, Johannes, Biger, Marine, Birck, Cindy, Bischof, Gerard, Boada, Mercè, Boellaard, Ronald, Bogdanovic, Nenad, Bollack, Ariane, Bombois, Stéphanie, Borg, Stefan, Borjesson-Hanson, Anne, Boskov, Vladimir, Boutantin, Justine, Boutoleau-Bretonniere, Claire, Bouwman, Femke, Breuilh, Laetitia, Bringman, Eva, Brunel, Baptiste, Bucci, Marco, Buckley, Chris, Buendía, Mar, Bullich, Santi, Calvet, Anna, Cañada, Laia, Cañada, Marta, Caprioglio, Camilla, Cardoso, Jorge, Carlier, Jasmine, Carre, Elise, Carrie, Isabelle, Cassagnaud, Pascaline, Cassol, Emmanuelle, Castilla-Martí, Miguel, Cazalon, Elodie, Chaarriau, Tiphaine, Chaigeau, Rachel, Chalmers, Taylor, Clerc, Marie-Thérèse, Clerigue, Montserrat, Cognat, Emmanuel, Coll, Nina, Collij, Lyduine E, Connely, Peter, Cordier, Elodie, Costes, Corine, Coulange, Camille, Courtemanche, Hélène, Creisson, Eric, and Crinquette, Charlotte
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Male ,Amyloid ,psychology [Alzheimer Disease] ,Amyloid beta-Peptides ,metabolism [Amyloid beta-Peptides] ,Amyloidogenic Proteins ,metabolism [Brain] ,Positron-Emission Tomography ,Humans ,Female ,Cognitive Dysfunction ,ddc:610 ,Prospective Studies ,3-(3,5-dichlorophenyl)-1-methyl-2,5-pyrrolidinedione ,Aged ,metabolism [Amyloid] - Abstract
Amyloid positron emission tomography (PET) allows the direct assessment of amyloid deposition, one of the main hallmarks of Alzheimer disease. However, this technique is currently not widely reimbursed because of the lack of appropriately designed studies demonstrating its clinical effect.To assess the clinical effect of amyloid PET in memory clinic patients.The AMYPAD-DPMS is a prospective randomized clinical trial in 8 European memory clinics. Participants were allocated (using a minimization method) to 3 study groups based on the performance of amyloid PET: arm 1, early in the diagnostic workup (within 1 month); arm 2, late in the diagnostic workup (after a mean [SD] 8 [2] months); or arm 3, if and when the managing physician chose. Participants were patients with subjective cognitive decline plus (SCD+; SCD plus clinical features increasing the likelihood of preclinical Alzheimer disease), mild cognitive impairment (MCI), or dementia; they were assessed at baseline and after 3 months. Recruitment took place between April 16, 2018, and October 30, 2020. Data analysis was performed from July 2022 to January 2023.Amyloid PET.The main outcome was the difference between arm 1 and arm 2 in the proportion of participants receiving an etiological diagnosis with a very high confidence (ie, ≥90% on a 50%-100% visual numeric scale) after 3 months.A total of 844 participants were screened, and 840 were enrolled (291 in arm 1, 271 in arm 2, 278 in arm 3). Baseline and 3-month visit data were available for 272 participants in arm 1 and 260 in arm 2 (median [IQR] age: 71 [65-77] and 71 [65-77] years; 150/272 male [55%] and 135/260 male [52%]; 122/272 female [45%] and 125/260 female [48%]; median [IQR] education: 12 [10-15] and 13 [10-16] years, respectively). After 3 months, 109 of 272 participants (40%) in arm 1 had a diagnosis with very high confidence vs 30 of 260 (11%) in arm 2 (P < .001). This was consistent across cognitive stages (SCD+: 25/84 [30%] vs 5/78 [6%]; P < .001; MCI: 45/108 [42%] vs 9/102 [9%]; P < .001; dementia: 39/80 [49%] vs 16/80 [20%]; P < .001).In this study, early amyloid PET allowed memory clinic patients to receive an etiological diagnosis with very high confidence after only 3 months compared with patients who had not undergone amyloid PET. These findings support the implementation of amyloid PET early in the diagnostic workup of memory clinic patients.EudraCT Number: 2017-002527-21.
- Published
- 2023
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59. Bridging peripheral and central inflammation with TSPO-PET: insights into depression and beyond.
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Wimberley C and Thompson G
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- 2025
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60. Sexually dimorphic murine brain uptake of the 18 kDa translocator protein PET radiotracer [ 18 F]LW223.
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Knyzeliene A, Wimberley C, MacAskill MG, Alcaide-Corral CJ, Morgan TEF, Henry MC, Lucatelli C, Pimlott SL, Sutherland A, and Tavares AAS
- Abstract
The 18 kDa translocator protein is a well-known biomarker of neuroinflammation, but also plays a role in homeostasis. PET with 18 kDa translocator protein radiotracers [
11 C]PBR28 in humans and [18 F]GE180 in mice has demonstrated sex-dependent uptake patterns in the healthy brain, suggesting sex-dependent 18 kDa translocator protein expression, although humans and mice had differing results. This study aimed to assess whether the 18 kDa translocator protein PET radiotracer [18 F]LW223 exhibited sexually dimorphic uptake in healthy murine brain and peripheral organs. Male and female C57Bl6/J mice (13.6 ± 5.4 weeks, 26.8 ± 5.4 g, mean ± SD) underwent 2 h PET scanning post-administration of [18 F]LW223 (6.7 ± 3.6 MBq). Volume of interest and parametric analyses were performed using standard uptake values (90-120 min). Statistical differences were assessed by unpaired t -test or two-way ANOVA with Šidak's test (alpha = 0.05). The uptake of [18 F]LW223 was significantly higher across multiple regions of the male mouse brain, with the most pronounced difference detected in hypothalamus ( P < 0.0001). Males also exhibited significantly higher [18 F]LW223 uptake in the heart when compared to females ( P = 0.0107). Data support previous findings on sexually dimorphic 18 kDa translocator protein radiotracer uptake patterns in mice and highlight the need to conduct sex-controlled comparisons in 18 kDa translocator protein PET imaging studies., Competing Interests: A patent for TSPO binders has been submitted (application GB1810312.7, PCT/EP2019/066546 and WO2019243616). No other potential conflicts of interest relevant to this article exist., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Guarantors of Brain.)- Published
- 2024
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61. Quantification of Macrophage-Driven Inflammation During Myocardial Infarction with 18 F-LW223, a Novel TSPO Radiotracer with Binding Independent of the rs6971 Human Polymorphism.
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MacAskill MG, Stadulyte A, Williams L, Morgan TEF, Sloan NL, Alcaide-Corral CJ, Walton T, Wimberley C, McKenzie CA, Spath N, Mungall W, BouHaidar R, Dweck MR, Gray GA, Newby DE, Lucatelli C, Sutherland A, Pimlott SL, and Tavares AAS
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- Animals, Fluorine Radioisotopes analysis, Inflammation immunology, Macrophages cytology, Macrophages immunology, Male, Myocardial Infarction genetics, Myocardial Infarction metabolism, Radioactive Tracers, Rats, Sprague-Dawley, Receptors, GABA genetics, Rats, Macrophages metabolism, Myocardial Infarction diagnostic imaging, Myocardial Infarction immunology, Polymorphism, Single Nucleotide, Positron Emission Tomography Computed Tomography, Receptors, GABA metabolism
- Abstract
Myocardial infarction (MI) is one of the leading causes of death worldwide, and inflammation is central to tissue response and patient outcomes. The 18-kDa translocator protein (TSPO) has been used in PET as an inflammatory biomarker. The aims of this study were to screen novel, fluorinated, TSPO radiotracers for susceptibility to the rs6971 genetic polymorphism using in vitro competition binding assays in human brain and heart; assess whether the in vivo characteristics of our lead radiotracer,
18 F-LW223, are suitable for clinical translation; and validate whether18 F-LW223 can detect macrophage-driven inflammation in a rat MI model. Methods: Fifty-one human brain and 29 human heart tissue samples were screened for the rs6971 polymorphism. Competition binding assays were conducted with3 H-PK11195 and the following ligands: PK11195, PBR28, and our novel compounds (AB5186 and LW223). Naïve rats and mice were used for in vivo PET kinetic studies, radiometabolite studies, and dosimetry experiments. Rats underwent permanent coronary artery ligation and were scanned using PET/CT with an invasive input function at 7 d after MI. For quantification of PET signal in the hypoperfused myocardium, K1 (rate constant for transfer from arterial plasma to tissues) was used as a surrogate marker of perfusion to correct the binding potential for impaired radiotracer transfer from plasma to tissue (BPTC ). Results: LW223 binding to TSPO was not susceptible to the rs6971 genetic polymorphism in human brain and heart samples. In rodents,18 F-LW223 displayed a specific uptake consistent with TSPO expression, a slow metabolism in blood (69% of parent at 120 min), a high plasma free fraction of 38.5%, and a suitable dosimetry profile (effective dose of 20.5-24.5 μSv/MBq).18 F-LW223 BPTC was significantly higher in the MI cohort within the infarct territory of the anterior wall relative to the anterior wall of naïve animals (32.7 ± 5.0 vs. 10.0 ± 2.4 cm3 /mL/min, P ≤ 0.001). Ex vivo immunofluorescent staining for TSPO and CD68 (macrophage marker) resulted in the same pattern seen with in vivo BPTC analysis. Conclusion:18 F-LW223 is not susceptible to the rs6971 genetic polymorphism in in vitro assays, has favorable in vivo characteristics, and is able to accurately map macrophage-driven inflammation after MI., (© 2021 by the Society of Nuclear Medicine and Molecular Imaging.)- Published
- 2021
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62. P-Glycoprotein (ABCB1) Inhibits the Influx and Increases the Efflux of 11 C-Metoclopramide Across the Blood-Brain Barrier: A PET Study on Nonhuman Primates.
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Auvity S, Caillé F, Marie S, Wimberley C, Bauer M, Langer O, Buvat I, Goutal S, and Tournier N
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- Animals, Biological Transport, Blood-Brain Barrier diagnostic imaging, Metoclopramide blood, Papio, ATP Binding Cassette Transporter, Subfamily B, Member 1 metabolism, Blood-Brain Barrier metabolism, Carbon Radioisotopes, Metoclopramide metabolism, Positron-Emission Tomography
- Abstract
PET imaging using radiolabeled avid substrates of the ATP-binding cassette (ABC) transporter P-glycoprotein (ABCB1) has convincingly revealed the role of this major efflux transporter in limiting the influx of its substrates from blood into the brain across the blood-brain barrier (BBB). Many drugs, such as metoclopramide, are weak ABCB1 substrates and distribute into the brain even when ABCB1 is fully functional. In this study, we used kinetic modeling and validated simplified methods to highlight and quantify the impact of ABCB1 on the BBB influx and efflux of
11 C-metoclopramide, as a model of a weak ABCB1 substrate, in nonhuman primates. Methods: The regional brain kinetics of a tracer dose of11 C-metoclopramide (298 ± 44 MBq) were assessed in baboons using PET without ( n = 4) or with ( n = 4) intravenous coinfusion of the ABCB1 inhibitor tariquidar (4 mg/kg/h). Metabolite-corrected arterial input functions were generated to estimate the regional volume of distribution ( VT ), as well as the influx ( K1 ) and efflux ( k2 ) rate constants, using a 1-tissue-compartment model. Modeling outcome parameters were correlated with image-derived parameters, that is, areas under the regional time-activity curves (AUCs) from 0 to 30 min and from 30 to 60 min (SUV⋅min) and the elimination slope ( kE ; min-1 ) from 30 to 60 min. Results: Tariquidar significantly increased the brain distribution of11 C-metoclopramide ( VT = 4.3 ± 0.5 mL/cm3 and 8.7 ± 0.5 mL/cm3 for baseline and ABCB1 inhibition conditions, respectively, P < 0.001), with a 1.28-fold increase in K1 ( P < 0.05) and a 1.64-fold decrease in k2 ( P < 0.001). The effect of tariquidar was homogeneous across different brain regions. The parameters most sensitive to ABCB1 inhibition were VT (2.02-fold increase) and AUC from 30 to 60 min (2.02-fold increase). VT correlated significantly ( P < 0.0001) with AUC from 30 to 60 min ( r2 = 0.95), with AUC from 0 to 30 min ( r2 = 0.87), and with kE ( r2 = 0.62). Conclusion:11 C-metoclopramide PET imaging revealed the relative importance of both the influx hindrance and the efflux enhancement components of ABCB1 in a relevant model of the human BBB. The overall impact of ABCB1 on drug delivery to the brain can be noninvasively estimated from image-derived outcome parameters without the need for an arterial input function., (© 2018 by the Society of Nuclear Medicine and Molecular Imaging.)- Published
- 2018
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63. Impact of Endothelial 18-kDa Translocator Protein on the Quantification of 18 F-DPA-714.
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Wimberley C, Lavisse S, Brulon V, Peyronneau MA, Leroy C, Bodini B, Remy P, Stankoff B, Buvat I, and Bottlaender M
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- Brain cytology, Brain diagnostic imaging, Brain metabolism, Female, Gene Expression Regulation, Humans, Image Processing, Computer-Assisted, Kinetics, Male, Middle Aged, Positron-Emission Tomography, Receptors, GABA genetics, Signal-To-Noise Ratio, Endothelial Cells metabolism, Fluorine Radioisotopes, Pyrazoles, Pyrimidines, Receptors, GABA metabolism
- Abstract
18 F-DPA-714 is a second-generation tracer for PET imaging of the 18-kDa translocator protein (TSPO), a marker of neuroinflammation. Analysis and interpretation of TSPO PET are challenging, especially because of the basal expression of TSPO. The aim of this study was to evaluate a compartmental model that accounts for the effect of endothelial TSPO binding on the quantification of18 F-DPA-714 PET scans from a cohort of healthy subjects. Methods: Fifteen healthy subjects (9 high-affinity binders and 6 mixed-affinity binders) underwent18 F-DPA-714 PET scans with arterial blood sampling and metabolite analysis. The kinetic parameters were quantified using a 2-tissue compartmental model (2TC) as well as a 2TC with an extra, irreversible, compartment for endothelial binding (2TC-1K). These regional parameters and messenger RNA (mRNA) expression specific to endothelial cells were correlated with regional TSPO mRNA expression. Results: The 2TC-1K model was more appropriate than the 2TC for 81% of fits. The total volume of distribution was significantly reduced by 21% ± 12% across all regions with the 2TC-1K, compared with the 2TC. The endothelial binding parameter Kb varied highly across brain regions. Kb strongly and significantly correlated with all 3 probes extracted for TSPO mRNA expression ( r = 0.80, r = 0.79, and r = 0.90), but no correlation was seen with the other binding parameters from the 2TC-1K. For the 2TC, there was a lower but significant correlation between the volume of distribution and one of the TSPO mRNA probes ( r = 0.65). A strong, significant correlation was seen between mRNA for TSPO and genes specific to endothelial cells. Conclusion: Accounting for endothelial TSPO in the kinetic model improved the fit of PET data. The high correlation between Kb and TSPO mRNA suggests that the 2TC-1K model reveals more biologic information about the regional density of TSPO than the 2TC. The correlation between TSPO and endothelial cell mRNA supports the relationship between the regional variation of Kb and endothelial TSPO. These results can improve the estimation of binding parameter estimates from18 F-DPA-714 PET, especially in diseases that induce vascular change., (© 2018 by the Society of Nuclear Medicine and Molecular Imaging.)- Published
- 2018
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64. Validation of an automatic reference region extraction for the quantification of [ 18 F]DPA-714 in dynamic brain PET studies.
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García-Lorenzo D, Lavisse S, Leroy C, Wimberley C, Bodini B, Remy P, Veronese M, Turkheimer F, Stankoff B, and Bottlaender M
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- Adult, Algorithms, Automation, Cerebellum diagnostic imaging, Cluster Analysis, Female, Fluorine Radioisotopes, Gray Matter diagnostic imaging, Healthy Volunteers, Humans, Image Processing, Computer-Assisted, Male, Middle Aged, Positron-Emission Tomography methods, Receptors, GABA genetics, Reproducibility of Results, Brain diagnostic imaging, Positron-Emission Tomography standards, Pyrazoles, Pyrimidines, Radiopharmaceuticals
- Abstract
There is a great need for a non-invasive methodology enabling the quantification of translocator protein overexpression in PET clinical imaging. [
18 F]DPA-714 has emerged as a promising translocator protein radiotracer as it is fluorinated, highly specific and returned reliable quantification using arterial input function. Cerebellum gray matter was proposed as reference region for simplified quantification; however, this method cannot be used when inflammation involves cerebellum. Here we adapted and validated a supervised clustering (supervised clustering algorithm (SCA)) for [18 F]DPA-714 analysis. Fourteen healthy subjects genotyped for translocator protein underwent an [18 F]DPA-714 PET, including 10 with metabolite-corrected arterial input function and three for a test-retest assessment. Two-tissue compartmental modelling provided [Formula: see text] estimates that were compared to either [Formula: see text] or [Formula: see text] generated by Logan analysis (using supervised clustering algorithm extracted reference region or cerebellum gray matter). The supervised clustering algorithm successfully extracted a pseudo-reference region with similar reliability using classes that were defined using either all subjects, or separated into HAB and MAB subjects. [Formula: see text], [Formula: see text] and [Formula: see text] were highly correlated (ICC of 0.91 ± 0.05) but [Formula: see text] were ∼26% higher and less variable than [Formula: see text]. Reproducibility was good with 5% variability in the test-retest study. The clustering technique for [18 F]DPA-714 provides a simple, robust and reproducible technique that can be used for all neurological diseases.- Published
- 2018
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65. OSSI-PET: Open-Access Database of Simulated [(11)C]Raclopride Scans for the Inveon Preclinical PET Scanner: Application to the Optimization of Reconstruction Methods for Dynamic Studies.
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Garcia MP, Charil A, Callaghan P, Wimberley C, Busso F, Gregoire MC, Bardies M, and Reilhac A
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- Algorithms, Animals, Databases, Factual, Monte Carlo Method, Raclopride, Rats, Positron-Emission Tomography
- Abstract
A wide range of medical imaging applications benefits from the availability of realistic ground truth data. In the case of positron emission tomography (PET), ground truth data is crucial to validate processing algorithms and assessing their performances. The design of such ground truth data often relies on Monte-Carlo simulation techniques. Since the creation of a large dataset is not trivial both in terms of computing time and realism, we propose the OSSI-PET database containing 350 simulated [(11)C]Raclopride dynamic scans for rats, created specifically for the Inveon pre-clinical PET scanner. The originality of this database lies on the availability of several groups of scans with controlled biological variations in the striata. Besides, each group consists of a large number of realizations (i.e., noise replicates). We present the construction methodology of this database using rat pharmacokinetic and anatomical models. A first application using the OSSI-PET database is presented. Several commonly used reconstruction techniques were compared in terms of image quality, accuracy and variability of the activity estimates and of the computed kinetic parameters. The results showed that OP-OSEM3D iterative reconstruction method outperformed the other tested methods. Analytical methods such as FBP2D and 3DRP also produced satisfactory results. However, FORE followed by OSEM2D reconstructions should be avoided. Beyond the illustration of the potential of the database, this application will help scientists to understand the different sources of noise and bias that can occur at the different steps in the processing and will be very useful for choosing appropriate reconstruction methods and parameters.
- Published
- 2016
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