Edward Miller

Has grant

Associated Professor of Medicine (Cardiology) & Radiology and Biomedical Imaging

Yale University
Country flagUnited States

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

UNITED STATES
View details

Andrew J Einstein

Columbia University Irving Medical Center

UNITED STATES
View details

Jeph Herrin

Yale University

UNITED STATES
View details

Dana Peters

Yale University

UNITED STATES
View details

Evangelos Oikonomou

University of Oxford

UNITED KINGDOM
View details

Eric Velazquez

Robert W. Berliner Professor of Medicine

Yale University

UNITED STATES
View details

Rohan Khera

Associate Professor

Yale University

UNITED STATES
View details

Terrence D. Ruddy

University of Ottawa

CANADA
View details

Philipp Antonio Kaufmann

Professor of Nuclear Medicine

University of Zurich

SWITZERLAND
View details

Monique Hinchcliff

Associate Professor

Yale University

UNITED STATES
View details

Helen Parise

Associate Professor

Yale University School of Medicine

UNITED STATES
View details

Yuan Lu

Assistant Professor

Yale University

UNITED STATES
View details

Piotr Slomka

Professor

Cedars-Sinai Medical Center

UNITED STATES
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.