Savannah Partridge, PhD - P.I.

Savannah C. Partridge, Ph.D. is a Research Associate Professor in Radiology at the University of Washington. Her background is in medical imaging physics with over 15 years experience in development of acquisition sequences and analysis software tools for clinical and translational breast magnetic resonance imaging (MRI) applications. Dr. Partridge is a member of the UW/Fred Hutchinson Cancer Research Center (FHCRC) Consortium Imaging Program and FHCRC Breast Cancer Research Program Executive Committee and is a Scientific Reviewer for the DOD US Army Breast Cancer Research Program. She is also an active member of the ACRIN-ECOG multi-center trial network breast committee. A large focus of her work is the investigation of diffusion-weighted MRI (DWI) to better detect and diagnose breast cancer. She also has significant research interests in developing MRI techniques for early detection of treatment response. Dr. Partridge collaborates with UW and FHCRC investigators on several pilot studies and clinical trials utilizing MRI for evaluating targeted breast cancer therapies.

EDUCATION

FACULTY POSITIONS HELD

SELECTED MANUSCRIPTS

HONORS

 

Habib Rahbar, MD - Radiologist

Habib Rahbar, M.D. is an Acting Assistant Professor of Radiology at the University of Washington. He is particularly interested in using advanced breast MR techniques, including diffusion weighted imaging and highly quantitative kinetic features, as biomarkers of breast diseases such as ductal carcinoma in situ (DCIS). His funded work has focused on developing a risk-stratification model for DCIS using breast MRI. He enjoys living in the Pacific Northwest with his wife and two young boys.

Sana Parsian, MD - Researcher

Dr. Parsian is a resident at Jersey Shore Medical Center hospital. Her areas of research is focused on using DWI and DCE MRI to discriminate subtypes of benign breast lesions.

PUBLICATIONS

 

Cheng-Liang Thomas Liu, MS - Researcher

Thomas got his MS degree from UCSF Biomedical Imaging Program. His area of research is focused on using innovative Diffusion MRI technique to help breast cancer diagnosis.

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