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  • Breast Multiparametric MRI for prediction of NAC Response Challenge (BMMR2 Challenge)

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The goal of the BMMR2 challenge is to identify image-based markers derived from DW-MRI, alone or in combination with DCE-MRI, with improved performance over whole-tumor mean ADC for predicting pCR following neoadjuvant  chemotherapy (NAC) for invasive breast cancer. The challenge is being run by the Breast Imaging Research Program of UCSF through the NCI Quantitative Imaging Network (QIN). The challenge will open in June opened on June 1, 2021 and will run for four five months. 

Data for the challenge will consist of a subset of the TCIA breast MRI collection from the American College of Radiology Imaging Network (ACRIN) trial 6698. 573 breast MRI studies from 191 subjects undergoing NAC for invasive breast cancer will be provided, with the patient cohort split 60%/40% into training and test groups.  pCR outcome data will be provided for the training set. A brief description of the data set is provided below. For more information on the ACRIN 6698 collection see the TCIA collection description at ACRIN 6698/I-SPY2 Breast DWI (ACRIN 6698). For more information on and to register for the challenge please visit the challenge hosting site MedICI Challenges. After registration at MedICI you will be provided access to the challenge data collection downloads from TCIA.