The implications of swollen lymph nodes following COVID-19 vaccination
Experts offer guidance to reduce false positive tests and avoid unnecessary biopsies.
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Constance “Connie” Lehman, MD, PhD is a Professor of Radiology at Harvard Medical School, and the Director of Breast Imaging, and Co-Director of the Avon Comprehensive Breast Evaluation Center at the Massachusetts General Hospital in Boston, Massachusetts. 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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Mass General Imaging
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Boston, MA 02114-3117
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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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Experts offer guidance to reduce false positive tests and avoid unnecessary biopsies.
Radiologists offer an approach to avoid confusion among patients and clinicians.
Investigators at MIT and MGH have collaborated to develop a new AI model to predict a woman’s future risk of breast cancer based on her mammogram alone, and performed validation trials in patient populations in Europe and Asia.
The study of artificial intelligence (AI) tools to support screening mammography must now shift from simulated research trials to robust clinical evaluations, according to Constance Lehman, MD, PhD, director of Breast Imaging at Massachusetts General Hospital
A new study finds that women who underwent 3D mammography were less likely to need follow-up tests and had a higher rate of cancer detection on their first exam, among other benefits, when compared to those who had 2D mammograms.
Breast Imaging at Mass General is the first mammography facility in the country to offer women control over breast compression during a mammogram.