Edward Miller
Has grant
Associated Professor of Medicine (Cardiology) & Radiology and Biomedical Imaging
Research Interests
Explore related searches
Contact this professor
Get a free first email built on one of their papers, ready for you to edit and send yourself.
About
Edward Miller is an Associate Professor of Medicine (Cardiology) and Radiology and Biomedical Imaging at Yale University. His research focuses on cardiology, particularly in blood pressure response patterns, myocardial flow reserve, and machine learning applications in cardiac imaging. Recent publications include studies on exercise stress testing, PET imaging, and algorithms for improved diagnostic performance in cardiovascular conditions. He is based in the United States.
Recent Grants
Grant: Close
Yale AHA 2C Clinical Fellow Research Education Program
Open Date: 2023-07-01
Close Date: 2026-06-30
Grant: Close
Yale Cardiovascular Medicine AHA Undergraduate Research Fellowship
Open Date: 2020-01-01
Close Date: 2023-12-31
Articles (16)
Year:
2025
Year:
2025
Year:
2025
Year:
2025
Year:
2025
Year:
2025
Aims Variation in diagnostic performance of single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) has been observed, yet the impact of cardiac size has not been well characterized. We assessed whether low left ventricular volume influences SPECT MPI’s ability to detect obstructive coronary artery disease (CAD) and its interaction with age and sex. Methods and results A total of 2066 patients without known CAD (67% male, 64.7 ± 11.2 years) across nine institutions underwent SPECT MPI with solid-state scanners followed by coronary angiography as part of the REgistry of Fast Myocardial Perfusion Imaging with NExt Generation SPECT. Area under receiver-operating characteristic curve (AUC) analyses evaluated the performance of quantitative and visual assessments according to cardiac size [end-diastolic volume (EDV); <20th vs. ≥20th population or sex-specific percentiles], age (<75 vs. ≥75 years), and sex. Significantly decreased performance was observed in patients with low EDV compared with those without (AUC: population 0.72 vs. 0.78, P = 0.03; sex-specific 0.72 vs. 0.79, P = 0.01) and elderly patients compared with younger patients (AUC 0.72 vs. 0.78, P = 0.03), whereas males and females demonstrated similar AUC (0.77 vs. 0.76, P = 0.67). The reduction in accuracy attributed to lower volumes was primarily observed in males (sex-specific threshold: EDV 0.69 vs. 0.79, P = 0.01). Accordingly, a significant decrease in AUC, sensitivity, specificity, and negative predictive value for quantitative and visual assessments was noted in patients with at least two characteristics of low EDV, elderly age, or male sex. Conclusion Detection of CAD with SPECT MPI is negatively impacted by small cardiac size, most notably in elderly and male patients.
Year:
2024
Year:
2024
Year:
2023
Year:
2023
Year:
2023
Year:
2022
Year:
2022
Year:
2021
Year:
2020
Year:
2020
Collaborators (13)
Lucila Ohno-Machado
Adjunct Professor
University of California, San Diego
Andrew J Einstein
Columbia University Irving Medical Center
Jeph Herrin
Yale University
Dana Peters
Yale University
Evangelos Oikonomou
University of Oxford
Eric Velazquez
Robert W. Berliner Professor of Medicine
Yale University
Rohan Khera
Associate Professor
Yale University
Terrence D. Ruddy
University of Ottawa
Philipp Antonio Kaufmann
Professor of Nuclear Medicine
University of Zurich
Monique Hinchcliff
Associate Professor
Yale University
Helen Parise
Associate Professor
Yale University School of Medicine
Yuan Lu
Assistant Professor
Yale University
Piotr Slomka
Professor
Cedars-Sinai Medical Center
Make your next move.
Prepare your application
Review drafts before you send them.