Daniel S Berman MDProfessor, Departments of Imaging and Cardiology, Cedars-Sinai Medical Center; Director, Cardiac Imaging, Cedars-Sinai Heart Institute, Los Angeles, California
Dr. Berman has been head of nuclear cardiology at Cedars-Sinai Medical Center for over 30 years and a professor of medicine at the UCLA David Geffen School of Medicine since 1986. His career has been largely devoted to developing and optimizing the methods for acquiring, processing, quantifying and reporting single photon emission computer tomography (SPECT) and more recently positron emission tomography (PET) MPI, developing the acquisition and processing protocols, standardizing these assessments across laboratories, and reporting evidence regarding the ways in which these methods are useful for risk assessment and guiding patient management decisions. He was an author of the original ASNC guidelines for the performance and interpretation of SPECT MPI.
Dr. Berman has been the medical director of the Artificial Intelligence in Medicine program at Cedars-Sinai which developed and validated the quantitative assessment methods that are used in the core laboratory. He has developed and directed the Cedars-Sinai Nuclear Cardiology Database, which has prospectively recorded over 400 historical, clinical, stress testing, and nuclear variables obtained with rest/stress MPI at the time of testing and follow-up information in over 22,000 unique patients. Using this database, Dr. Berman and his colleagues have authored over 65 manuscripts dealing with risk stratification using MPI, providing much of the preliminary information regarding ischemia and outcomes that supports other studies such as the $84MM NIH-funded International Study of Comparative Health Effectiveness with Medical and Invasive Approaches (ISCHEMIA) trial.
Recent Contributions to PracticeUpdate:
- Coronary 18F-NaF Uptake Predicts Outcomes in Patients With Coronary Artery Disease
- Does Breast Arterial Calcification Predict Coronary Artery Calcification?
- Lung Cancer Screening CTs Used for Predicting Cardiovascular Disease
- Prognostic Value of Coronary Calcification Score in Non-Triggered Chest CT
- Coronary CT Angiography Stratifies Risk for Cardiac Events