Zobrazeno 1 - 10 of 14 pro vyhledávání: '"Jessica Goya-Outi"'
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Akademický článek
Multimodal MRI radiomic models to predict genomic mutations in diffuse intrinsic pontine glioma with missing imaging modalities
Autor: Fahad Khalid, Jessica Goya-Outi, Thibault Escobar, Volodia Dangouloff-Ros, Antoine Grigis, Cathy Philippe, Nathalie Boddaert, Jacques Grill, Vincent Frouin, Frédérique Frouin
Publikováno v: Frontiers in Medicine, Vol 10 (2023)
PurposePredicting H3.1, TP53, and ACVR1 mutations in DIPG could aid in the selection of therapeutic options. The contribution of clinical data and multi-modal MRI were studied for these three predictive tasks. To keep the maximum number of subjects,
Externí odkaz: https://doaj.org/article/8f6cd73c2fc94f7099f75bf6a92d7ef8
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Impact of ComBat and a Multi-Model approach to deal with multi-scanner and missing MRI data in a small cohort study. Application to H3K27M mutation prediction in patients with DIPG
Autor: Fahad, Khalid, Jessica, Goya-Outi, Vincent, Frouin, Nathalie, Boddaert, Jacques, Grill, Frederique, Frouin
Publikováno v: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Radiomics was proposed to identify tumor phenotypes non-invasively from quantitative imaging features. Calculating a large amount of information on images, allows the development of reliable classification models. In multi-modal imaging protocols, th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad6369d0623659ae83b9dcc37d842aae
https://doi.org/10.1109/embc46164.2021.9629704
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DIPG-23. Artificial intelligence for detecting ACVR1 mutations in patients with DIPG using MRI and clinical data
Autor: Fahad Khalid, Thibault Escobar, Jessica Goya-Outi, Vincent Frouin, Nathalie Boddaert, Jacques Grill, Frederique Frouin
Publikováno v: Neuro-Oncology. 24:i23-i23
INTRODUCTION: ACVR1 mutations are found in about 25% of patients with diffuse intrinsic pontine glioma (DIPG). Recent work has identified the combination of vandetanib and everolimus as a promising therapeutic approach for these patients. We investig
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4e1d51c288d0fcd9e453757f077cd272
https://doi.org/10.1093/neuonc/noac079.080
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Analyse radiomique des gliomes de bas grades : une étude rétrospective
Autor: Eve Denis, Stéphane Chanalet, Violaine Flory, Christine Lebrun-Frenay, Véronique Bourg, Jessica Goya-Outi, Denys Fontaine, Frédérique Frouin, Fanny Orlhac, Lydiane Mondot, Fanny Burel-Vandenbos, Fabien Almairac
Publikováno v: Journal of Neuroradiology. 47:82-83
Objectifs Analyser les caracteristiques texturales (Radiomics) pour decrire une signature correlee aux mutations IDH et codeletion 1p/19q dans les gliomes de bas grade (classification OMS 2016, Figure 1 ). Evaluer l’impact des parametres d’acquis
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d8a943a48ef4ba754a6d86f8914c2009
https://doi.org/10.1016/j.neurad.2019.12.006
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Can Structural MRI Radiomics Predict DIPG Histone H3 Mutation and Patient Overall Survival at Diagnosis Time?
Autor: Jessica Goya-Outi, Fanny Orlhac, Stéphanie Puget, Cathy Philippe, Irène Buvat, Frédérique Frouin, Raphael Calmon, Vincent Frouin, Nathalie Boddaert, Jacques Grill
Publikováno v: 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)
2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), May 2019, Chicago, United States. pp.1-4, ⟨10.1109/BHI.2019.8834524⟩
BHI
Radiomics was proposed to identify tumor phenotypes noninvasively from quantitative imaging features. The present study aimed at investigating if radiomic features measured at diagnosis time from structural MRI can predict histone H3 mutations and ov
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b059da5b14d61269485f3825584a812d
https://hal.archives-ouvertes.fr/hal-03089690/file/IEEE_BHI_V2.pdf
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LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity
Autor: Claire Pellot-Barakat, Irène Buvat, Michael Soussan, Sylvain Reuzé, Sarah Boughdad, Charlotte Robert, Fanny Orlhac, Frédérique Frouin, Christophe Nioche, Jessica Goya-Outi
Publikováno v: Cancer Research
Cancer Research, American Association for Cancer Research, 2018, 78 (16), pp.4786-4789. ⟨10.1158/0008-5472.CAN-18-0125⟩
Cancer Research, 2018, 78 (16), pp.4786-4789. ⟨10.1158/0008-5472.CAN-18-0125⟩
Textural and shape analysis is gaining considerable interest in medical imaging, particularly to identify parameters characterizing tumor heterogeneity and to feed radiomic models. Here, we present a free, multiplatform, and easy-to-use freeware call
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e871750a9c0c6b2a55ceee95b0b7bf29
https://hal.archives-ouvertes.fr/hal-01938545
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Computation of reliable textural indices from multimodal brain MRI: suggestions based on a study of patients with diffuse intrinsic pontine glioma
Autor: Stéphanie Puget, Jessica Goya-Outi, Vincent Frouin, Christophe Nioche, Nathalie Boddaert, Agusti Alentorn, Irène Buvat, Raphael Calmon, Fanny Orlhac, Jacques Grill, Frédérique Frouin, Cathy Philippe
Publikováno v: Physics in Medicine and Biology
Physics in Medicine and Biology, 2018, 63 (10), pp.105003. ⟨10.1088/1361-6560/aabd21⟩
Physics in Medicine and Biology, IOP Publishing, 2018, 63 (10), pp.105003. ⟨10.1088/1361-6560/aabd21⟩
Few methodological studies regarding widely used textural indices robustness in MRI have been reported. In this context, this study aims to propose some rules to compute reliable textural indices from multimodal 3D brain MRI. Diagnosis and post-biops
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::defcee1e0bc4fc86fd44a531c696a18d
https://hal.sorbonne-universite.fr/hal-01801219/document
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