Enhanced CT and MRI Focal Bone Tumor Classification with Machine Learning–based Stratification: A Multicenter Retrospective Study
Astrée Lemore, Nora Vogt, Julien Oster, Edouard Germain, Marc Fauvel, Romain Gillet, François Sirveaux, Béatrice Marie, N. Sans, Marie Faruch, Franck Lapègue, François Lafourcade, Sammy Badr, Anne Cotten, Fadila Mihoubi Bouvier, Sisi Yang, Jean‐Luc Drapé, Maxime Pastor, Yann Thouvenin, Marie Pierre Baron, C. Cyteval, David Fadli, Claire Fournier, Olivier Hauger, Mariem Ben Haj Amor, Nicolas Stacoffe, Sophie Daubié, Jean‐Baptiste Pialat, Jean‐Baptiste Pialat, Stéphane Cherix, Fabio Zanchi, Patrick Omoumi, Alain Blum, Gabriela Hossu, Pedro Augusto Gondim Teixeira
Abstract
A machine learning algorithm using radiologic features from structured reports accurately classified focal bone lesions; Bone Tumor Imaging Reporting and Data System 2.0 was proposed to categorize model outputs into clinically meaningful malignancy risk classes.