Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Cyril Jaudet"'
Publikováno v:
EJNMMI Physics, Vol 10, Iss 1, Pp 1-19 (2023)
Abstract Background Small-animal PET imaging is an important tool in preclinical oncology. This study evaluated the ability of a clinical SiPM-PET camera to image several rats simultaneously and to perform quantification data analysis. Methods Intrin
Externí odkaz:
https://doaj.org/article/c13754f4db5c483eaab32378ce17face
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
IntroductionThe yield per elution of a 68Ge/68Ga generator decreases during its lifespan. This affects the number of patients injected per elution or the injected dose per patient, thereby negatively affecting the cost of examinations and the quality
Externí odkaz:
https://doaj.org/article/ccd30444c56949429ca8849e79684ca5
Autor:
Kathleen Weyts, Elske Quak, Idlir Licaj, Renaud Ciappuccini, Charline Lasnon, Aurélien Corroyer-Dulmont, Gauthier Foucras, Stéphane Bardet, Cyril Jaudet
Publikováno v:
Diagnostics, Vol 13, Iss 9, p 1626 (2023)
Given the constant pressure to increase patient throughput while respecting radiation protection, global body PET image quality (IQ) is not satisfactory in all patients. We first studied the association between IQ and other variables, in particular b
Externí odkaz:
https://doaj.org/article/698c05c932b542a2b957c0be773f93fe
Autor:
Noémie Moreau, Laurine Bonnor, Cyril Jaudet, Laetitia Lechippey, Nadia Falzone, Alain Batalla, Cindy Bertaut, Aurélien Corroyer-Dulmont
Publikováno v:
Diagnostics, Vol 13, Iss 5, p 943 (2023)
Background: Arc therapy allows for better dose deposition conformation, but the radiotherapy plans (RT plans) are more complex, requiring patient-specific pre-treatment quality assurance (QA). In turn, pre-treatment QA adds to the workload. The objec
Externí odkaz:
https://doaj.org/article/715086de8557441d9f1347e39ec29ee2
Autor:
Elske Quak, Audrey Lasne Cardon, Renaud Ciappuccini, Charline Lasnon, Vianney Bastit, Véronique Le Henaff, Barbara Lireux, Gauthier Foucras, Cyril Jaudet, Celia Berchi, Jean-Michel Grellard, Justine Lequesne, Bénédicte Clarisse, Stéphane Bardet
Publikováno v:
BMC Endocrine Disorders, Vol 21, Iss 1, Pp 1-7 (2021)
Abstract Background The common endocrine disorder primary hyperparathyroidism (PHPT) can be cured by surgery. Preoperative localization of parathyroid adenoma (PTA) by imaging is a prerequisite for outpatient minimally invasive parathyroidectomy (MIP
Externí odkaz:
https://doaj.org/article/ff366b5a967c499bb407514a392431be
Autor:
Aurélien Corroyer-Dulmont, Cyril Jaudet, Anne-Marie Frelin, Jade Fantin, Kathleen Weyts, Katherine A. Vallis, Nadia Falzone, Nicola R. Sibson, Michel Chérel, Françoise Kraeber-Bodéré, Alain Batalla, Stéphane Bardet, Myriam Bernaudin, Samuel Valable
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
Brain metastases (BM) are frequently detected during the follow-up of patients with malignant tumors, particularly in those with advanced disease. Despite a major progress in systemic anti-cancer treatments, the average overall survival of these pati
Externí odkaz:
https://doaj.org/article/358307a702cf49aeb52c5a7cfe910e2e
Autor:
Cyril Jaudet, Kathleen Weyts, Alexis Lechervy, Alain Batalla, Stéphane Bardet, Aurélien Corroyer-Dulmont
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
BackgroundWith a constantly increasing number of diagnostic images performed each year, Artificial Intelligence (AI) denoising methods offer an opportunity to respond to the growing demand. However, it may affect information in the image in an unknow
Externí odkaz:
https://doaj.org/article/91982b7465194e598780b283a8f32fa5
The Impact of Resampling and Denoising Deep Learning Algorithms on Radiomics in Brain Metastases MRI
Autor:
Ilyass Moummad, Cyril Jaudet, Alexis Lechervy, Samuel Valable, Charlotte Raboutet, Zamila Soilihi, Juliette Thariat, Nadia Falzone, Joëlle Lacroix, Alain Batalla, Aurélien Corroyer-Dulmont
Publikováno v:
Cancers, Vol 14, Iss 1, p 36 (2021)
Background: Magnetic resonance imaging (MRI) is predominant in the therapeutic management of cancer patients, unfortunately, patients have to wait a long time to get an appointment for examination. Therefore, new MRI devices include deep-learning (DL
Externí odkaz:
https://doaj.org/article/619c4a0fc3774c4d8a74b8a5d271cf05
Autor:
Laurent Dercle, Samy Ammari, Mathilde Bateson, Paul Blanc Durand, Eva Haspinger, Christophe Massard, Cyril Jaudet, Andrea Varga, Eric Deutsch, Jean-Charles Soria, Charles Ferté
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
Abstract Entropy is a promising quantitative imaging biomarker for characterizing cancer imaging phenotype. Entropy has been associated with tumor gene expression, tumor metabolism, tumor stage, patient prognosis, and treatment response. Our hypothes
Externí odkaz:
https://doaj.org/article/3550ac8355a84ddf99d4ece2cd80f0d3
Publikováno v:
Molecular Imaging and Biology. 24:1018-1027
Single-photon emission computed tomography has found an important place in preclinical cancer research. Nevertheless, the cameras dedicated to small animals are not widely available. The present study aimed to assess the feasibility of imaging small