Habib Rahbar, M.D.

Associate Professor
Clinical Director of Breast Imaging, Seattle Cancer Care Alliance
Breast Imaging

Biography

Dr. Rahbar is an associate professor in the University of Washington (UW) Department of Radiology. A board certified radiologist, he works in the breast imaging section at the Seattle Cancer Care Alliance (SCCA) and serves as the Breast Imaging Clinical Director and Fellowship Director. Dr. Rahbar earned his bachelor’s degree from the University of Pennsylvania in Philadelpha and his M.D. from the University of Michigan in Ann Arbor. He completed his radiology residency training and breast imaging fellowship at the UW and stayed on as faculty upon graduation. His clinical practice at the SCCA includes digital mammography, digital breast tomosynthesis (or “3D mammography”), breast ultrasound, breast MRI, and image-guided procedures of the breast. Dr. Rahbar’s primary research interests include the identification of MRI features that can be used to improve management of ductal carcinoma in situ, the use of non-contrast MRI techniques to identify and characterize breast cancers, and the identification of MRI markers of risk of developing breast cancer.

Recent Publications

See all publications on Scopus

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

Ductal carcinoma in situ: Quantitative preoperative breast mr imaging features associated with recurrence after treatment
Luo J., Johnston B., Kitsch A., Hippe D., Korde L., Javid S., Lee J., Peacock S., Lehman C., Partridge S., Rahbar H.
Radiology. 2017 Dec:788-797

MRI-guided breast interventions
McGrath A., Price E., Eby P., Rahbar H.
Journal of Magnetic Resonance Imaging. 2017 Sep:631-645

Breast MRI technique
Rahbar H., Strigel R., Partridge S.
Breast Oncology: Techniques, Indications, and Interpretation. 2017 Feb:3-24

Diffusion-weighted breast MRI: Clinical applications and emerging techniques
Partridge S., Nissan N., Rahbar H., Kitsch A., Sigmund E.
Journal of Magnetic Resonance Imaging. 2017 Feb:337-355

Apparent diffusion coefficient values may help predict which MRI-detected high-risk breast lesions will upgrade at surgical excision
Cheeney S., Rahbar H., Dontchos B., Javid S., Rendi M., Partridge S.
Journal of Magnetic Resonance Imaging. 2017 Jan

Diffusion-weighted MRI characteristics associated with prognostic pathological factors and recurrence risk in invasive ER+/HER2- breast cancers
Amornsiripanitch N., Nguyen V., Rahbar H., Hippe D., Gadi V., Rendi M., Partridge S.
Journal of Magnetic Resonance Imaging. 2017 Jan

Are physicians influenced by their own specialty society’s guidelines regarding mammography screening? an analysis of ationally representative data
Scheel J., Hippe D., Chen L., Lam D., Lee J., Elmore J., Rahbar H., Partridge S., Lee C.
American Journal of Roentgenology. 2016 Nov:959-964

Diffusion-weighted imaging reflects variable cellularity and stromal density present in breast fibroadenomas
Parsian S., Giannakopoulos N., Rahbar H., Rendi M., Chai X., Partridge S.
Clinical Imaging. 2016 Sep:1047-1054

Performance of DWI as a rapid unenhanced technique for detecting mammographically occult breast cancer in elevated-risk women with dense breasts
McDonald E., Hammersley J., Chou S., Rahbar H., Scheel J., Lee C., Liu C., Lehman C., Partridge S.
American Journal of Roentgenology. 2016 Jul:205-216