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Journal of Magnetic Resonance Imaging : JMRI|September 15, 2005
Heterogeneity in the angiogenic response of a BT474 human breast cancer to a novel vascular endothelial growth factor-receptor tyrosine kinase inhibitor: assessment by voxel analysis of dynamic contrast-enhanced MRIKa-Loh Li, Lisa J Wilmes, Roland G Henry, et al.Tomography (Ann Arbor, Mich.)|June 1, 2022
Effect of Inter-Reader Variability on Diffusion-Weighted MRI Apparent Diffusion Coefficient Measurements and Prediction of Pathologic Complete Response for Breast CancerNu N Le, Wen Li, Natsuko Onishi, et al.Tomography (Ann Arbor, Mich.)|June 18, 2020
Retrospective Correction of ADC for Gradient Nonlinearity Errors in Multicenter Breast DWI Trials: ACRIN6698 Multiplatform Feasibility StudyDariya I Malyarenko, David C Newitt, Ghoncheh Amouzandeh, et al.Tomography (Ann Arbor, Mich.)|June 18, 2020
Tumor Sphericity Predicts Response in Neoadjuvant Chemotherapy for Invasive Breast CancerWen Li, David C Newitt, Bo La Yun, et al.Academic Radiology|April 11, 2013
High-resolution diffusion-weighted imaging for monitoring breast cancer treatment responseLisa J Wilmes, Rebekah L McLaughlin, David C Newitt, et al.Tomography (Ann Arbor, Mich.)|June 25, 2026
Image Quality Assessment of Diffusion-Weighted Imaging (DWI) and Its Impact on Apparent Diffusion Coefficient (ADC) as a Quantitative Imaging Biomarker for Predicting Response to Neoadjuvant Chemotherapy in High-Risk Early Breast CancerWen Li, Lisa J Wilmes, Julia Carmona-Bozo, et al.Radiology|October 8, 2024
The QIBA Profile for Diffusion-Weighted MRI: Apparent Diffusion Coefficient as a Quantitative Imaging BiomarkerMichael A Boss, Dariya Malyarenko, Savannah Partridge, et al.Magnetic Resonance Imaging|March 21, 2007
AG-013736, a novel inhibitor of VEGF receptor tyrosine kinases, inhibits breast cancer growth and decreases vascular permeability as detected by dynamic contrast-enhanced magnetic resonance imagingLisa J Wilmes, Maria G Pallavicini, Lisa M Fleming, et al.Tomography (Ann Arbor, Mich.)|November 26, 2024
Tumor Morphology for Prediction of Poor Responses Early in Neoadjuvant Chemotherapy for Breast Cancer: A Multicenter Retrospective StudyWen Li, Nu N Le, Rohan Nadkarni, et al.Tomography (Ann Arbor, Mich.)|March 26, 2025
MRI-Based Model for Personalizing Neoadjuvant Treatment in Breast CancerWen Li, Natsuko Onishi, Jessica E Gibbs, et al.Pageof 4