NIOCHE , Christophe

International audience

Abstract Nonbiological differences related to CT scanner type can be removed from radiomic feature values, allowing radiomics features to be combined in multicenter or multivendor studies.Background Radiomics extracts features from medical images more precisely and more accurately than visual assessment. However, radiomics features are affected...

Aim/Introduction: The design and validation of a reliable radiomic signature is challenging when few patients are available because the disease is rare, the imaging protocol is specific and/or the classes are unbalanced. In this context, we propose an approach to identify a signature and estimate its reliability. Materials and Methods: 84...

En imagerie TEP, les études multicentriques sont limitées car les mesures effectuées sur les images (SUV et autres index radiomiques) sont sensibles aux protocoles d'acquisition et de reconstruction. Notre but est de valider l'utilisation de la méthode d'harmonisation ComBat afin de supprimer l'« effet centre » dans les études multicentriques...

Objectives: Quantitative characterization of tumor heterogeneity using PET images shows encouraging results to predict patient response or survival, paving the way for precision medicine based on radiomic features. Yet, the vast majority of results are obtained in monocentric studies, without subsequent validation in multicenter settings. One...

International audience

Objectives: Most supervised learning approaches currently applied in radiomics consist in classifying patients in groups (eg, responder versus non-responder, short overall survival versus long overall survival). With these methods, individual information from each patient is used only to assign a patient to a group. To preserve detailed...

International audience

The real-world implementation of federated learning is complex and requires research and development actions at the crossroad between different domains ranging from data science, to software programming, networking, and security. While today several FL libraries are proposed to data scientists and users, most of these frameworks are not...

Total metabolic tumor volume (TMTV) is prognostic in lymphoma. However, cutoff values for risk stratification vary markedly, according to the tumor delineation method used. We aimed to create a standardized TMTV benchmark dataset allowing TMTV to be tested and applied as a reproducible biomarker. Methods: Sixty baseline 18F-FDG PET/CT scans...