Can Structural MRI Radiomics Predict DIPG Histone H3 Mutation and Patient Overall Survival at Diagnosis Time? - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2019

Can Structural MRI Radiomics Predict DIPG Histone H3 Mutation and Patient Overall Survival at Diagnosis Time?

Résumé

Identifying tumor phenotypes non-invasively from quantitative imaging features is a challenge faced by radiomics. This study aimed at investigating if radiomic features measured at diagnosis time from conventional structural MRI can predict histone H3 mutations and overall survival of patients with diffuse intrinsic pontine glioma. To this end, 316 features from multimodal diagnostic MRI of 38 patients were extracted. Two approaches were proposed: a conventional estimation of features inside the whole region of interest and a mean estimation inside this region of local features that are computed from fixed size patches. A feature selection pipeline was then developed. Three machine learning models for H3 mutation classification and three regression models for overall survival prediction were evaluated. Leave-one-out F1-weighted scores for SVM model combining imaging and clinical features reached 0.84, showing a good prediction of H3 mutation using structural MRI. Some encouraging results were obtained to predict overall survival but they need to be reinforced on a larger number of patients.
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Dates et versions

hal-03089690 , version 1 (28-12-2020)

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Jessica Goya Outi, Raphael Calmon, Fanny Orlhac, Cathy Philippe, Nathalie Boddaert, et al.. Can Structural MRI Radiomics Predict DIPG Histone H3 Mutation and Patient Overall Survival at Diagnosis Time?. 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), May 2019, Chicago, United States. pp.1-4, ⟨10.1109/BHI.2019.8834524⟩. ⟨hal-03089690⟩
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