Evidence map›Paper›PMID 42504446›Full record

ArticleCatheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions2026

VERMONT μQFR: Diagnostic Accuracy of Murray Law-Based 2D-μQFR Compared to 3D-μQFR and vFFR.

Daniel Akrawi, Krishna Kadappu, James Xu, Tamer Yousef Naguib Badie, Oliver Gibbs, Hashim Kachwalla, Phong T D Nguyen, Rahul Kurup, Upul Premawardhana, Justyn Huang and 7 more

Abstract readComparative Study
In one paragraph

Article in Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

17 authors.

Daniel AkrawiDepartment of Cardiology, Campbelltown Hospital, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-6701-9094
Krishna KadappuDepartment of Cardiology, Campbelltown Hospital, Sydney, New South Wales, Australia.
James XuDepartment of Cardiology, Liverpool Hospital, Sydney, New South Wales, Australia.
Tamer Yousef Naguib BadieDepartment of Cardiology, Campbelltown Hospital, Sydney, New South Wales, Australia.
Oliver GibbsDepartment of Cardiology, Campbelltown Hospital, Sydney, New South Wales, Australia.
Hashim KachwallaDepartment of Cardiology, Campbelltown Hospital, Sydney, New South Wales, Australia.
Phong T D NguyenDepartment of Cardiology, Campbelltown Hospital, Sydney, New South Wales, Australia.
Rahul KurupDepartment of Cardiology, Campbelltown Hospital, Sydney, New South Wales, Australia.
Upul PremawardhanaDepartment of Cardiology, Campbelltown Hospital, Sydney, New South Wales, Australia.
Justyn HuangDepartment of Cardiology, Campbelltown Hospital, Sydney, New South Wales, Australia.
Hao TranDepartment of Cardiology, Campbelltown Hospital, Sydney, New South Wales, Australia.
Kavie SoosapillaDepartment of Cardiology, Campbelltown Hospital, Sydney, New South Wales, Australia.
Jim BasilakisSchool of Computer, Data & Mathematical Sciences, Western Sydney University, Campbelltown, New South Wales, Australia.
Aiden O'loughlinDepartment of Cardiology, Campbelltown Hospital, Sydney, New South Wales, Australia.
Annemarie HennessySchool of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia.
Giuseppe FemiaFaculty of Medicine and Health, University of Sydney, Camperdown, New South Wales, Australia.
Sidney LoDepartment of Cardiology, Liverpool Hospital, Sydney, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMurray law-based quantitative flow ratio (μQFR) is an angiography-derived physiological index that utilizes a single angiographic projection with artificial intelligence-guided vessel segmentation.

aimsTo evaluate the diagnostic accuracy and time efficacy of 2D-μQFR against wire-based fractional flow reserve (FFR ≤ 0.80), compare its performance with 3D-μQFR and vessel-FFR (vFFR), and assess feasibility in lesions excluded from vFFR analysis.

methodsThis sub-study of the prospective VERMONT trial analyzed 2D- and 3D-μQFR retrospectively using prospectively acquired angiograms, with wire-based FFR as the reference standard.

resultsAmong 209 patients with 225 intermediate lesions, 205 lesions were analyzed. 2D-μQFR demonstrated excellent diagnostic accuracy for FFR ≤ 0.80 (AUC 0.95; 95% CI 0.93-0.98), with 93% sensitivity, 92% specificity, 88% positive predictive value (PPV), and 95% negative predictive value (NPV). Inter-observer agreement was excellent (r = 0.94, p < 0.001), and 2D-μQFR analysis was 15.1 min faster than wire-based FFR (1.8 ± 0.7 vs. 16.9 ± 5.4 min, p < 0.001). Diagnostic performance was comparable to that of 3D-μQFR, which achieved an AUC of 0.94 (95% CI 0.91-0.97), with 89% sensitivity, 90% specificity, 86% PPV, and 93% NPV. It was more specific than vFFR, which achieved an AUC of 0.92 (95% CI 0.89-0.96), with 90% sensitivity, 79% specificity, 74% PPV, and 93% NPV. Single-projection analysis was feasible in 85% of lesions excluded from vFFR due to image quality limitations.

conclusionSingle-projection 2D-μQFR provides accurate, rapid, and reproducible physiological assessment comparable to 3D-μQFR with superior specificity to vFFR. These findings support 2D-μQFR as a practical, wire-free alternative to invasive FFR in routine clinical practice.

Indexed as

Cardiac CatheterizationCoronary AngiographyCoronary Artery DiseaseCoronary VesselsFractional Flow Reserve, MyocardialImaging, Three-DimensionalRadiographic Image Interpretation, Computer-AssistedAgedFeasibility StudiesFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesReproducibility of Resultsangiogram based fractional flow reserveFFRfractional flow reserveMurray law‐based quantitative flow ratiovessel fractional flow reservevFFRμQFR

Identifiers

PMID42504446
PMCPMC13667326

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.