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Breast Multiparametric Mri For Prediction Of Neoadjuvant Chemotherapy Response In Breast Cancer: The Bmmr2 Challenge, Wen Li, Savannah C Partridge, David C Newitt, Jon Steingrimsson, Helga S Marques, Patrick J Bolan, Michael Hirano, Benjamin Aaron Bearce, Jayashree Kalpathy-Cramer, Michael A Boss, Xinzhi Teng, Jiang Zhang, Jing Cai, Despina Kontos, Eric A Cohen, Walter C Mankowski, Michael Liu, Richard Ha, Oscar J Pellicer-Valero, Klaus Maier-Hein, Simona Rabinovici-Cohen, Tal Tlusty, Michal Ozery-Flato, Vishwa S Parekh, Michael A Jacobs, Ran Yan, Kyunghyun Sung, Anum S Kazerouni, Julie C Dicarlo, Thomas E Yankeelov, Thomas L Chenevert, Nola M Hylton

Journal Articles

Purpose To describe the design, conduct, and results of the Breast Multiparametric MRI for prediction of neoadjuvant chemotherapy Response (BMMR2) challenge. Materials and Methods The BMMR2 computational challenge opened on May 28, 2021, and closed on December 21, 2021. The goal of the challenge was to identify image-based markers derived from multiparametric breast MRI, including diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) MRI, along with clinical data for predicting pathologic complete response (pCR) following neoadjuvant treatment. Data included 573 breast MRI studies from 191 women (mean age [±SD], 48.9 years ± 10.56) in the I-SPY 2/American College of Radiology Imaging …