Radiology Personnel

Christoph Lee, M.D., M.S., M.B.A.

Professor
Breast Imaging

Biography

Dr. Christoph Lee is Professor of Radiology at the University of Washington (UW) School of Medicine, Adjunct Professor of Health Services at the UW School of Public Health, and Staff Physician at the Seattle Cancer Care Alliance. Dr. Lee’s research focuses on breast cancer screening technology assessment for which he has obtained grants from the National Institutes of Health, American Cancer Society, and Agency for Healthcare Research and Quality.

He is the lead or co-lead editor of five books spanning the basic sciences, evidence-based medicine, and medical imaging, distributed internationally by McGraw-Hill and Oxford University Press. Dr. Lee has authored or co-authored more than 150 peer-reviewed journal articles and chapters. He has served on the editorial boards of three leading specialty journals: Radiology, the American Journal of Roentgenology (AJR), and the Journal of the American College of Radiology (JACR).

Dr. Lee earned his BA cum laude from Princeton University, his MD cum laude from Yale University, and completed his radiology residency at Stanford University. He completed both a breast imaging fellowship and a two-year health policy fellowship as a Robert Wood Johnson Foundation Clinical Scholar at UCLA, where he earned his MS in health services research. Dr. Lee also earned his MBA in healthcare management from Johns Hopkins University with election to the Beta Gamma Sigma honor society.

Recent Publications

See all publications on Scopus

Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
Schaffter T., Buist D.S.M., Lee C.I., Nikulin Y., Ribli D., Guan Y., Lotter W., Jie Z., Du H., Wang S., Feng J., Feng M., Kim H.E., Albiol F., Albiol A., Morrell S., Wojna Z., Ahsen M.E., Asif U., Jimeno Yepes A., Yohanandan S., Rabinovici-Cohen S., Yi D., Hoff B., Yu T., Chaibub Neto E., Rubin D.L., Lindholm P., Margolies L.R., McBride R.B., Rothstein J.H., Sieh W., Ben-Ari R., Harrer S., Trister A., Friend S., Norman T., Sahiner B., Strand F., Guinney J., Stolovitzky G., Mackey L., Cahoon J., Shen L., Sohn J.H., Trivedi H., Shen Y., Buturovic L., Pereira J.C., Cardoso J.S., Castro E., Kalleberg K.T., Pelka O., Nedjar I., Geras K.J., Nensa F., Goan E., Koitka S., Caballero L., Cox D.D., Krishnaswamy P., Pandey G., Friedrich C.M., Perrin D., Fookes C., Shi B., Cardoso Negrie G., Kawczynski M., Cho K., Khoo C.S., Lo J.Y., Sorensen A.G., Jung H.
JAMA network open. 2020 Mar:e200265

Assessment of Radiologist Performance in Breast Cancer Screening Using Digital Breast Tomosynthesis vs Digital Mammography
Sprague B.L., Coley R.Y., Kerlikowske K., Rauscher G.H., Henderson L.M., Onega T., Lee C.I., Herschorn S.D., Tosteson A.N.A., Miglioretti D.L.
JAMA network open. 2020 Mar:e201759

What do the European Breast Cancer Screening Guidelines Portend for U.S. Practice?
Elmore J., Lee C.
Annals of Internal Medicine. 2020 Jan:65-66

Identifying effective supplemental screening strategies for women with a personal history of breast cancer
Lee C.I., Lee J.M.
Radiology. 2020 Jan:64-65

Facility Variability in Examination Indication Among Women With Prior Breast Cancer: Implications and the Need for Standardization
Buist D.S.M., Ichikawa L., Wernli K.J., Lee C.I., Henderson L.M., Kerlikowske K., Bowles E.J.A., Miglioretti D.L., Specht J., Rauscher G.H., Sprague B.L., Onega T., Lee J.M.
Journal of the American College of Radiology. 2020 Jan

Radiology’s Financial Portfolio: An Introduction to the Special Money Issue
Kang S., Lee C., Liao J.
Journal of the American College of Radiology. 2020 Jan:99-100

Consensus reads: The more sets of eyes interpreting a mammogram, the better for women
Hofvind S., Lee C.I.
Radiology. 2020 Jan:42-43

Trends in Clinical Breast Density Assessment from the Breast Cancer Surveillance Consortium
Sprague B., Kerlikowske K., Bowles E., Rauscher G., Lee C., Tosteson A., Miglioretti D.
Journal of the National Cancer Institute. 2019 Jun:629-632

Artificial Intelligence (AI) for the early detection of breast cancer: a scoping review to assess AI’s potential in breast screening practice
Houssami N., Kirkpatrick-Jones G., Noguchi N., Lee C.
Expert Review of Medical Devices. 2019 May:351-362

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