Radiology Personnel

Savannah Partridge, Ph.D.

Breast Imaging


Dr. Partridge is a Professor of Radiology in the breast imaging section. She earned a Ph.D. in Bioengineering with a focus in medical imaging physics from the joint graduate program at University of California, Berkeley and UC San Francisco. She has over 15 years of experience in development of acquisition sequences and analysis software tools for clinical and translational magnetic resonance imaging (MRI) applications. A large focus of her work has been to investigate dynamic contrast-enhanced MRI and diffusion-weighted MRI for improved detection and diagnosis of breast cancer. She actively participates in national radiology organizations and cooperative groups including the American College of Radiology Imaging Network (ACRIN) and Radiological Society of North America Quantitative Imaging Biomarker Alliance (QIBA). She currently serves as chair and co-chair on two NCI-funded multi-center clinical trials evaluating the utility of diffusion-weighted MRI of the breast (ACRIN 6702 and 6698).

Recent Publications

See all publications on Scopus

Double reading of automated breast ultrasound with digital mammography or digital breast tomosynthesis for breast cancer screening
Lee J., Partridge S., Liao G., Hippe D., Kim A., Lee C., Rahbar H., Scheel J., Lehman C.
Clinical Imaging. 2019 May:119-125

Utility of Diffusion-weighted Imaging to Decrease Unnecessary Biopsies Prompted by Breast MRI: A Trial of the ECOG-ACRIN Cancer Research Group (A6702)
Rahbar H., Zhang Z., Chenevert T., Romanoff J., Kitsch A., Hanna L., Harvey S., Moy L., DeMartini W., Dogan B., Yang W., Wang L., Joe B., Oh K., Neal C., McDonald E., Schnall M., Lehman C., Comstock C., Partridge S.
Clinical cancer research : an official journal of the American Association for Cancer Research. 2019 Mar:1756-1765

Assessment of Quantitative Magnetic Resonance Imaging Background Parenchymal Enhancement Parameters to Improve Determination of Individual Breast Cancer Risk
Lam D., Hippe D., Kitsch A., Partridge S., Rahbar H.
Journal of Computer Assisted Tomography. 2019 Jan:85-92

Diffusion-weighted MRI Findings Predict Pathologic Response in Neoadjuvant Treatment of Breast Cancer: The ACRIN 6698 Multicenter Trial
Partridge S., Zhang Z., Newitt D., Gibbs J., Chenevert T., Rosen M., Bolan P., Marques H., Romanoff J., Cimino L., Joe B., Umphrey H., Ojeda-Fournier H., Dogan B., Oh K., Abe H., Drukteinis J., Esserman L., Hylton N.
Radiology. 2018 Dec:618-627

Can diffusion-weighted imaging predict tumor grade and expression of Ki-67 in breast cancer? A multicenter analysis
Surov A., Clauser P., Chang Y., Li L., Martincich L., Partridge S., Kim J., Meyer H., Wienke A.
Breast Cancer Research. 2018 Jun

MRI, clinical examination, and mammography for preoperative assessment of residual disease and pathologic complete response after neoadjuvant chemotherapy for breast cancer: ACRIN 6657 trial
Scheel J., Kim E., Partridge S., Lehman C., Rosen M., Bernreuter W., Pisano E., Marques H., Morris E., Weatherall P., Polin S., Newstead G., Esserman L., Schnall M., Hylton N.
American Journal of Roentgenology. 2018 Jun:1376-1385

Visibility of mammographically occult breast cancer on diffusion-weighted MRI versus ultrasound
Amornsiripanitch N., Rahbar H., Kitsch A., Lam D., Weitzel B., Partridge S.
Clinical Imaging. 2018 May:37-43

Management of high-risk breast lesions found on mammogram or ultrasound: the value of contrast-enhanced MRI to exclude malignancy
Hammersley J., Partridge S., Blitzer G., Deitch S., Rahbar H.
Clinical Imaging. 2018 May:174-180

Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy
Bowen S., Yuh W., Hippe D., Wu W., Partridge S., Elias S., Jia G., Huang Z., Sandison G., Nelson D., Knopp M., Lo S., Kinahan P., Mayr N.
Journal of Magnetic Resonance Imaging. 2018 May:1388-1396

Test–retest repeatability and reproducibility of ADC measures by breast DWI: Results from the ACRIN 6698 trial
Newitt D., Zhang Z., Gibbs J., Partridge S., Chenevert T., Rosen M., Bolan P., Marques H., Aliu S., Li W., Cimino L., Joe B., Umphrey H., Ojeda-Fournier H., Dogan B., Oh K., Abe H., Drukteinis J., Esserman L., Hylton N.
Journal of Magnetic Resonance Imaging. 2018 Jan