A model combining pretreatment MRI radiomic features and tumor-infiltrating lymphocytes to predict response to neoadjuvant systemic therapy in triple-negative breast cancerJorge E. Jimenez, Gaiane M. Rauch, Debu Tripathy et al.|European Journal of Radiology|2022Cited by 38
A Radiomics Model Based on Synthetic MRI Acquisition for Predicting Neoadjuvant Systemic Treatment Response in Triple-Negative Breast CancerKen‐Pin Hwang, Gaiane M. Rauch, Nabil Elshafeey et al.|Radiology Imaging Cancer|2023Cited by 32
Functional Tumor Volume by Fast Dynamic<scp>Contrast‐Enhanced MRI</scp>for Predicting Neoadjuvant Systemic Therapy Response in<scp>Triple‐Negative</scp>Breast CancerBenjamin C. Musall, Jingfei Ma, Abeer H. Abdelhafez et al.|Journal of Magnetic Resonance Imaging|2021Cited by 30
Assessment of Early Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer Using Amide Proton Transfer–weighted Chemical Exchange Saturation Transfer MRI: A Pilot StudyShu Zhang, Mark D. Pagel, Gaiane M. Rauch et al.|Radiology Imaging Cancer|2021Cited by 28
Tumor necrosis by pretreatment breast MRI: association with neoadjuvant systemic therapy (NAST) response in triple-negative breast cancer (TNBC)Abeer H. Abdelhafez, Gaiane M. Rauch, Benjamin C. Musall et al.|Breast Cancer Research and Treatment|2020Cited by 15