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Cancers|September 23, 2022
Diffusion-Weighted MRI for Predicting Pathologic Complete Response in Neoadjuvant ImmunotherapyWen Li, Nu N Le, Natsuko Onishi, et al.Magnetic Resonance in Medicine|September 16, 2017
Accuracy, repeatability, and interplatform reproducibility of T<sub>1</sub> quantification methods used for DCE-MRI: Results from a multicenter phantom studyOctavia Bane, Stefanie J Hectors, Mathilde Wagner, et al.Journal of Breast Imaging|February 5, 2021
Factors Affecting Image Quality and Lesion Evaluability in Breast Diffusion-weighted MRI: Observations from the ECOG-ACRIN Cancer Research Group Multisite Trial (A6702)Jennifer G Whisenant, Justin Romanoff, Habib Rahbar, et al.Radiology|November 17, 2020
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 TrialElizabeth S McDonald, Justin Romanoff, Habib Rahbar, et al.Journal of Magnetic Resonance Imaging : JMRI|January 26, 2019
Recommendations towards standards for quantitative MRI (qMRI) and outstanding needsKathryn E Keenan, Joshua R Biller, Jana G Delfino, et al.NPJ Breast Cancer|December 10, 2020
Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the I-SPY 2 TRIALWen Li, David C Newitt, Jessica Gibbs, et al.Radiology|August 24, 2021
Breast MRI during Neoadjuvant Chemotherapy: Lack of Background Parenchymal Enhancement Suppression and Inferior Treatment ResponseNatsuko Onishi, Wen Li, David C Newitt, et al.Pageof 4