Multicenter Evaluation of Myocardial Flow Reserve as a Prognostic Marker for Mortality in 13 N-Ammonia PET Myocardial Perfusion Imaging

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Authors: Giselle Ramirez, Valerie Builoff, R. Miller, Mark Lemley, Isabel Carvajal-Juarez, Erick Alexanderson, Thomas Rosamond, Na Song, Mark I. Travin, Leandro Slipczuk, Andrew J. Einstein, Samuel Wopperer
+3 more Marcelo F. Di Carli, Panithaya Chareonthaitawee, Piotr J Slomka
Cited by: 5
References: 39

Abstract

BACKGROUND: Myocardial flow reserve (MFR), measured by positron emission tomography (PET) myocardial perfusion imaging, provides valuable information on epicardial coronary disease, diffuse atherosclerosis, and microvascular function. Despite its routine use, the prognostic efficacy of 13 N-ammonia PET MFR remains unconfirmed in larger multicenter cohorts of patients with suspected or known coronary artery disease. METHODS: We considered patients from 5 sites in the REFINE PET (Registry of Flow and Perfusion Imaging for Artificial Intelligence with PET) registry who underwent 13 N-ammonia PET myocardial perfusion imaging for coronary artery disease. Clinical and imaging data were collected at the time of myocardial perfusion imaging. MFR was quantified as the ratio of stress to rest myocardial blood flow, using QPET software (Cedars-Sinai Medical Center, Los Angeles, CA). The primary outcome was all-cause mortality. Survival analyses were performed using Kaplan-Meier and Cox regression models adjusted for clinical and imaging covariates. RESULTS: In total, 6277 patients were included (median age of 65 years, 56% male). Median follow-up time was 3.8 years. There were 1895 patients with MFR ≤2 and 4382 with MFR >2. Patients with MFR ≤2 had significantly higher mortality than those with MFR >2 (n=701 [37.0%] versus n=537 [12.3%], respectively; P

Fields of Study & Subjects

Cardiac Imaging and Diagnostics Cardiovascular Disease and Adiposity Medical Imaging Techniques and Applications

Publication details

Journal / source
Circulation Cardiovascular Imaging
Publisher
Ovid Technologies (Wolters Kluwer Health)
Volume
19
Issue
4
Pages
e018729–e018729
Publication date
30 January 2026
Language
EN