Kathryn Lowry, M.D.

Associate Professor of Radiology

Breast Imaging

Biography

Dr. Lowry is a physician at the Fred Hutchinson Cancer Center (FHCC) and an associate professor in the University of Washington (UW) Department of Radiology.  Her clinical practice at Fred Hutch Cancer Center (FHCC) includes all aspects of breast imaging, including digital mammography, digital breast tomosynthesis (“3D mammography”), breast ultrasound, breast MRI, and image-guided procedures of the breast. 

Dr. Lowry earned her bachelor’s degree from Duke University in Durham, NC, and her M.D. from Harvard Medical School in Boston, MA.  She completed her diagnostic radiology residency training and fellowship in breast imaging at Massachusetts General Hospital in Boston.  Dr. Lowry’s research interests include the evaluation of cancer screening effectiveness and surveillance imaging outcomes for women after treatment for primary breast cancer.

Recent Publications (via Semantic Scholar)

Comparative Performance of Contrast-enhanced Mammography, Abbreviated Breast MRI, and Standard Breast MRI for Breast Cancer Screening.
Marissa B. Lawson, S. Partridge, D. Hippe, et al. - Published 2023 - RADIOLOGY

Impact of Surveillance Mammography Intervals Less Than One Year on Performance Measures in Women With a Personal History of Breast Cancer
Janie M. Lee, L. Ichikawa, K. Wernli, et al. - Published 2023 - KOREAN JOURNAL OF RADIOLOGY

Breast cancer risk characteristics of women undergoing whole‐breast ultrasound screening versus mammography alone
B. Sprague, L. Ichikawa, J. Eavey, et al. - Published 2023 - CANCER

Digital Breast Tomosynthesis versus Digital Mammography Screening Performance on Successive Screening Rounds from the Breast Cancer Surveillance Consortium.
B. Sprague, R. Coley, K. Lowry, et al. - Published 2023 - RADIOLOGY

Variation in second breast cancer risk after primary invasive cancer by time since primary cancer diagnosis and estrogen receptor status
K. Lowry, L. Ichikawa, R. Hubbard, et al. - Published 2023 - CANCER

Performance of statistical and machine learning risk prediction models for surveillance benefits and failures in breast cancer survivors.
Yu-Ru Su, D. Buist, Janie M. Lee, et al. - Published 2023 - CANCER EPIDEMIOLOGY, BIOMARKERS AND PREVENTION

ASO Visual Abstract: Risk of Lobular Neoplasia Upgrade with Synchronous Carcinoma
Isabelle L. Crary, Elizabeth U. Parker, K. Lowry, et al. - Published 2022 - ANNALS OF SURGICAL ONCOLOGY

Independent External Validation of Artificial Intelligence Algorithms for Automated Interpretation of Screening Mammography: A Systematic Review.
Anna W. Anderson, M. Marinovich, N. Houssami, et al. - Published 2022 - JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY

Error Reduction and Diagnostic Concordance in Breast Pathology.
T. Miller, M. Flanagan, K. Lowry, et al. - Published 2022 - SURGICAL PATHOLOGY CLINICS

Finding Inspiration in the Future of Radiology: Looking Beyond the Pandemic
K. Lowry, Christoph I. Lee, Lars J. Grimm - Published 2022 - JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY