Use of Pretreatment Perfusion MRI–based Intratumoral Heterogeneity to Predict Pathologic Response of Triple-Negative Breast Cancer to Neoadjuvant Chemoimmunotherapy
Toulsie Ramtohul, Victoire Lepagney, Claire Bonneau, Maxime Jin, Emmanuelle Menet, Juliette Sauge, Enora Laas, Emanuela Romano, Diana Bello-Roufai, Fatima Mechta-Grigoriou, Anne Vincent‐Salomon, François‐Clément Bidard, A. Langer, Caroline Malhaire, Luc Cabel, Hervé J. Brisse, A. Tardivon
Abstract
A radiomics score derived from pretreatment perfusion MRI effectively predicted pathologic complete response in participants with early-stage triple-negative breast cancer following neoadjuvant chemoimmunotherapy.
Topics & Concepts
MedicineBreast cancerTriple-negative breast cancerReceiver operating characteristicNomogramNeoadjuvant therapyLogistic regressionArea under the curveNuclear medicineChemoimmunotherapyDynamic contrast-enhanced MRIBreast MRIStage (stratigraphy)Internal medicineRadiologyMagnetic resonance imagingCancerBiologyImmunotherapyPaleontologyMammographyRadiomics and Machine Learning in Medical ImagingMRI in cancer diagnosisMedical Imaging Techniques and Applications