Functional tumor volume by fast dynamic contrast‐enhanced MRI for predicting neoadjuvant systemic therapy response in triple‐negative breast cancer BC Musall, AH Abdelhafez, BE Adrada, RP Candelaria, RMM Mohamed, ... Journal of Magnetic Resonance Imaging 54 (1), 251-260, 2021 | 22 | 2021 |
Tumor necrosis by pretreatment breast MRI: association with neoadjuvant systemic therapy (NAST) response in triple-negative breast cancer (TNBC) AH Abdelhafez, BC Musall, BE Adrada, KR Hess, JB Son, KP Hwang, ... Breast cancer research and treatment 185, 1-12, 2021 | 15 | 2021 |
A model combining pretreatment MRI radiomic features and tumor-infiltrating lymphocytes to predict response to neoadjuvant systemic therapy in triple-negative breast cancer JE Jimenez, A Abdelhafez, EA Mittendorf, N Elshafeey, JP Yung, JK Litton, ... European Journal of Radiology 149, 110220, 2022 | 14 | 2022 |
Assessment of early response to neoadjuvant systemic therapy in triple-negative breast cancer using amide proton transfer–weighted chemical exchange saturation transfer MRI: a … S Zhang, GM Rauch, BE Adrada, M Boge, RMM Mohamed, ... Radiology: Imaging Cancer 3 (5), e200155, 2021 | 14 | 2021 |
Quantitative Apparent Diffusion Coefficients From Peritumoral Regions as Early Predictors of Response to Neoadjuvant Systemic Therapy in Triple‐Negative Breast Cancer BC Musall, BE Adrada, RP Candelaria, RMM Mohamed, AH Abdelhafez, ... Journal of Magnetic Resonance Imaging 56 (6), 1901-1909, 2022 | 6 | 2022 |
A radiomics model based on synthetic MRI acquisition for predicting neoadjuvant systemic treatment response in triple-negative breast cancer KP Hwang, NA Elshafeey, A Kotrotsou, H Chen, JB Son, M Boge, ... Radiology: Imaging Cancer 5 (4), e230009, 2023 | 4 | 2023 |
Radiomic phenotypes from dynamic contrast-enhanced MRI (DCE-MRI) parametric maps for early prediction of response to neoadjuvant systemic therapy (NAST) in triple negative … N Elshafeey, BE Adrada, RP Candelaria, AH Abdelhafez, BC Musall, ... CANCER RESEARCH 81 (4), 2021 | 1 | 2021 |
Radiomics model based on magnetic resonance image compilation (MagIC) as early predictor of pathologic complete response to neoadjuvant systemic therapy in triple-negative … N Elshafeey, KP Hwang, BE Adrada, RP Candelaria, M Boge, ... CANCER RESEARCH 82 (4), 2022 | | 2022 |
Abstract PD11-06: Radiomics model based on magnetic resonance image compilation (MagIC) as early predictor of pathologic complete response to neoadjuvant systemic therapy in … N Elshafeey, KP Hwang, BE Adrada, RP Candelaria, M Boge, ... Cancer Research 82 (4_Supplement), PD11-06-PD11-06, 2022 | | 2022 |
Abstract PS3-08: Assessment of early response to neoadjuvant systemic therapy (NAST) of triple-negative breast cancer (TNBC) using chemical exchange saturation transfer (CEST … S Zhang, GM Rauch, BE Adrada, M Boge, RMM Mohamed, ... Cancer Research 81 (4_Supplement), PS3-08-PS3-08, 2021 | | 2021 |
Abstract PD6-07: Volumetric changes on longitudinal dynamic contrast enhanced MR imaging (DCE-MRI) as an early treatment response predictor to neoadjuvant systemic therapy … GM Rauch, AE Beatriz, RP Candelaria, N Elshafeey, AH Abdelhafez, ... Cancer Research 81 (4_Supplement), PD6-07-PD6-07, 2021 | | 2021 |
Abstract PD6-06: Radiomic phenotypes from dynamic contrast-enhanced MRI (DCE-MRI) parametric maps for early prediction of response to neoadjuvant systemic therapy (NAST) in … N Elshafeey, BE Adrada, RP Candelaria, AH Abdelhafez, BC Musall, ... Cancer Research 81 (4_Supplement), PD6-06-PD6-06, 2021 | | 2021 |
Assessment of early response to neoadjuvant systemic therapy (NAST) of triple-negative breast cancer (TNBC) using chemical exchange saturation transfer (CEST) MRI: A pilot study S Zhang, GM Rauch, BE Adrada, M Boge, RMM Mohamed, ... CANCER RESEARCH 81 (4), 2021 | | 2021 |
Volumetric changes on longitudinal dynamic contrast enhanced MR imaging (DCE-MRI) as an early treatment response predictor to neoadjuvant systemic therapy (NAST) in triple … GM Rauch, AE Beatriz, RP Candelaria, N Elshafeey, AH Abdelhafez, ... CANCER RESEARCH 81 (4), 2021 | | 2021 |
Radiomics model based on MAGIC acquisition for predicting neoadjuvant systemic treatment response in triple-negative breast cancer. N Elshafeey, GM Rauch, A Kotrotsou, BE Adrada, RP Candelaria, ... Proc. Intl. Soc. Mag. Reson. Med 29, 0062, 2021 | | 2021 |
Abstract P6-02-03: Quantitative apparent diffusion coefficient (ADC) radiomics of tumor and peritumoral regions as potential predictors of treatment response to neoadjuvant … BE Adrada, AH Abdelhafez, BC Musall, KR Hess, JB Son, MD Pagel, ... Cancer Research 80 (4_Supplement), P6-02-03-P6-02-03, 2020 | | 2020 |
Quantitative apparent diffusion coefficient (ADC) radiomics of tumor and peritumoral regions as potential predictors of treatment response to neoadjuvant chemotherapy (NACT) in … BE Adrada, AH Abdelhafez, BC Musall, KR Hess, JB Son, MD Pagel, ... CANCER RESEARCH 80 (4), 2020 | | 2020 |
Radiomics of Peritumoral Region from Quantitative Apparent Diffusion Coefficient (ADC) For Prediction of Neoadjuvant Chemotherapy (NACT) Treatment Response in Triple Negative … | | 2019 |
Optimized CEST acquisition and analysis for treatment assessment of response to neoadjuvant chemotherapy in triple negative breast cancer S Zhang, AH Abdelhafez, JB Son, BC Musall, M Miyoshi, X Wang, ... | | |
Quantitative ADC measurement of breast cancer with ssEPI and reduced FOV diffusion weighted imaging techniques BC Musall, BE Adrada, AH Abdelhafez, HS Mahmoud, KP Hwang, JB Son, ... | | |