About Connie Lehman, MD, PhD

Constance “Connie” Lehman, MD, PhD is a Professor of Radiology at Harvard Medical School. Dr. Lehman received her undergraduate education at Duke University and her MD and PhD at Yale University. Dr. Lehman serves on several key national committees including the National Cancer Institute’s Breast Cancer Steering Committee and the American College of Radiology’s (ACR) Committee on Breast Imaging for Appropriateness Criteria and Guidelines.

Dr. Lehman has co-authored breast cancer screening recommendations by the American Cancer Society, the ACR, and the National Comprehensive Cancer Network. She has authored or co-authored over 200 peer-reviewed scientific publications. Dr. Lehman has served as principal investigator or co-investigator on numerous single and multi-institution clinical trials in breast MRI, mammography and ultrasound, including the ACRIN NEJM publication that reported adding MRI scans to examinations of women with breast cancer improves detection of a second cancer in the opposite breast. She is currently developing and evaluating new methods of deep learning to improve breast cancer detection, diagnosis and treatment. Collectively, her philosophy embodies the notion that we improve the health of our community by delivery the highest quality patient-centered care in a setting of active innovation and education.

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Medical Education

  • M.D.; Ph.D., Yale University School of Medicine
  • Residency, University of Washington Medical Center
  • Fellowship, Seattle Cancer Care Alliance of University of Washington

American Board Certifications

  • Diagnostic Radiology, American Board of Radiology

Accepted Insurance Plans

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Research

Dr. Lehman has served as principal investigator or co-investigator on numerous single and multi-institution clinical trials in breast MRI, mammography and ultrasound, including the ACRIN NEJM publication that reported adding MRI scans to examinations of women with breast cancer improves detection of a second cancer in the opposite breast. She is currently developing and evaluating new methods of deep learning to improve breast cancer detection, diagnosis and treatment. Collectively, her philosophy embodies the notion that we improve the health of our community by delivery the highest quality patient-centered care in a setting of active innovation and education.

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