Savannah Partridge

Professor

University of Washington

United States

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Professor Savannah Partridge is a faculty member at the University of Washington, United States. Her research primarily focuses on advanced imaging techniques in breast cancer, including diffusion-weighted MRI and radiomics-based machine learning. Recent publications highlight her contributions to understanding treatment responses and diagnostic methods in breast cancer through innovative imaging approaches.

Articles (17)

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UNITED STATES

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Virendra Mishra

Associate Professor

The University of Alabama

UNITED STATES

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Laura Esserman

University of California

UNITED STATES

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Patrick Bolan

University of Minnesota

UNITED STATES

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Jung Bok Lee

University of Ulsan College of Medicine

SOUTH KOREA

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Savannah Partridge

Research Interests

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About

Articles (17)

Preoperative Diagnosis of Ipsilateral and Contralateral Breast Cancer: Role of Diffusion-weighted MRI

Can we cut the contrast? DWI shows similar value to standard MRI for assessing treatment response in breast cancer

Radiomics-based Machine Learning Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Using Physiologically Decomposed Diffusion-weighted MRI

Diagnostic Performance of Point-of-Care Apparent Diffusion Coefficient Measures to Reduce Biopsy in Breast Lesions at MRI: Clinical Validation

Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge

Cellular Characterization of Breast Cancer Using Microstructural Diffusion MRI

The QIBA Profile for Diffusion-Weighted MRI: Apparent Diffusion Coefficient as a Quantitative Imaging Biomarker

Editorial for “Contrasts Between Diffusion‐Weighted Imaging and Dynamic Contrast‐Enhanced MR in Diagnosing Malignancies of Breast Nonmass Enhancement Lesions Based on Morphologic Assessment”

Associations of Multiparametric Breast MRI Features, Tumor-Infiltrating Lymphocytes, and Immune Gene Signature Scores Following a Single Dose of Trastuzumab in HER2-Positive Early-Stage Breast Cancer

Comparative Performance of Contrast-enhanced Mammography, Abbreviated Breast MRI, and Standard Breast MRI for Breast Cancer Screening

Effect of Inter-Reader Variability on Diffusion-Weighted MRI Apparent Diffusion Coefficient Measurements and Prediction of Pathologic Complete Response for Breast Cancer

Impact of Alternate b-Value Combinations and Metrics on the Predictive Performance and Repeatability of Diffusion-Weighted MRI in Breast Cancer Treatment: Results from the ECOG-ACRIN A6698 Trial

Accelerated Breast Diffusion-weighted Imaging Using Multiband Sensitivity Encoding with the CAIPIRINHA Method: Clinical Experience at 3 T

Editorial on “Diffusion‐Weighted Double‐Echo Steady‐State with a 3D Cones Trajectory for Non‐Contrast‐Enhanced Breast MRI”

Dynamic contrast-enhanced breast MRI features correlate with invasive breast cancer angiogenesis

Emerging Techniques Bring Diffusion-weighted Imaging of the Breast into Focus

The Value of Patient and Tumor Factors in Predicting Preoperative Breast MRI Outcomes

Collaborators (11)

Jayashree Kalpathy-Cramer

Junzhong Xu

Laura Kennedy

John Scheel

Thomas Chenevert

Habib Rahbar

Anum S. Kazerouni

Virendra Mishra

Laura Esserman

Patrick Bolan

Jung Bok Lee

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