Multimodal MRI radiomic models to predict genomic mutations in diffuse intrinsic pontine glioma with missing imaging modalities

Multimodal MRI radiomic models to predict genomic mutations in diffuse intrinsic pontine glioma with missing imaging modalities

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, which is essential for a rare disease, missing dat...

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Bibliographic Details
Main Authors: Fahad Khalid, Jessica Goya-Outi, Thibault Escobar, Volodia Dangouloff-Ros, Antoine Grigis, Cathy Philippe, Nathalie Boddaert, Jacques Grill, Vincent Frouin, Frédérique Frouin
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Medicine
Subjects:
MRI
radiomics
prediction
missing data
genomic mutation
diffuse intrinsic pontine glioma
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1071447/full

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https://www.frontiersin.org/articles/10.3389/fmed.2023.1071447/full

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