Jessica W. T. Leung, MD, FACR, FSBI
Dr. Jessica Leung is Professor of Diagnostic Radiology and Section Chief of Breast Imaging at The University of Texas MD Anderson Cancer Center in Houston, Texas, USA.
Dr. Leung received both her undergraduate and medical degrees from Harvard: summa cum laude bachelor’s degree from Harvard College and MD degree from Harvard Medical School. After completing internship at Massachusetts General Hospital in Boston, she returned to her hometown of San Francisco and pursued radiology residency and breast imaging fellowship at University of California San Francisco (UCSF). She returned to Boston after training and began her academic breast imaging career at Brigham and Women’s Hospital and Dana-Farber Cancer Institute (both of which are Harvard Medical School teaching hospitals), followed by her tenure at UCSF as Assistant then Associate Professor of Radiology. Dr. Leung also has extensive community-based experience, having served as Medical Director of Breast Health Center at California Pacific Medical Center in San Francisco.
Dr. Leung has a long history of active service to Society of Breast Imaging (SBI) and American College of Radiology (ACR) and has been honored as Fellow of both SBI and ACR. Currently, she is a member of the SBI Board of Directors (as Director-at-Large) and Chair of the SBI Communications Committee. She is a member of the ACR Stereotactic Breast Biopsy Accreditation Committee and a member of the ACR National Mammography Database Committee.
Dr. Leung has published numerous clinically impactful research articles in breast imaging and lectured extensively both nationally and internationally in Asia, Africa, Europe, North and South America. Her teaching honors include 2007 Hideyo Minagi Outstanding Teacher (awarded by UCSF radiology residents) and 2016 George R. Leopold Honorary Lecturer (awarded by Los Angeles Radiological Society). Her current research interests include: blood biomarkers and breast cancer screening, clinical outcomes in breast imaging, cost-effectiveness and population-based results.
