Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge
Author:
Funder
National Institutes of Health
Defense Advanced Research Projects Agency
Cancer Prevention and Research Institute of Texas
Publisher
Radiological Society of North America (RSNA)
Subject
Oncology,Radiology, Nuclear Medicine and imaging
Link
http://pubs.rsna.org/doi/pdf/10.1148/rycan.230033
Reference18 articles.
1. Diffusion-weighted MRI Findings Predict Pathologic Response in Neoadjuvant Treatment of Breast Cancer: The ACRIN 6698 Multicenter Trial
2. Repeatability and Reproducibility of ADC Histogram Metrics from the ACRIN 6698 Breast Cancer Therapy Response Trial
3. Mean Apparent Diffusion Coefficient Is a Sufficient Conventional Diffusion-weighted MRI Metric to Improve Breast MRI Diagnostic Performance: Results from the ECOG-ACRIN Cancer Research Group A6702 Diffusion Imaging Trial
4. Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis Competitions
5. Test–retest repeatability and reproducibility of ADC measures by breast DWI: Results from the ACRIN 6698 trial
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