Automated radiomics model for prediction of therapy response and minimal residual disease from baseline MRI in multiple myeloma.

ABSTRACT: This multicenter imaging study aimed to establish and validate automated radiomics models predicting therapy response (TR) and minimal residual response (MRD) in newly diagnosed multiple myeloma (MM) from baseline MRI. Retrospectively, 118 MM patients from the GMMG-HD7 trial (EudraCT: 2017-004768-37) with data on TR and/or MRD after induction therapy and baseline MRI were included. Data were split by center into a training set (center 1-2; n = 79) and a test set (center 3-10; n = 39). TR was classified as very good partial response or better versus other. An in-house developed nnU-Net was used to automatically segment pelvic bone marrow for the subsequent extraction of 245 radiomics features and piriformis muscle for normalization. Random forest classifiers were trained using radiomics fea

SUBMITTER: Bauer F 

PROVIDER: S-EPMC12514200 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature