Evidence map›Paper›PMID 41909832›Full record

ArticleInternational journal of cardiology. Heart & vasculature2026

VERMONT non-optimised: Feasibility of angiography-derived vFFR using baseline diagnostic catheter images.

Daniel Akrawi, Krishna Kadappu, James Xu, Tamer Yousef Naguib Badie, Oliver Gibbs, Hashim Kachwalla, Phong Td Nguyen, Rahul Kurup, Upul Premawardhana, Sidney Lo and 6 more

Abstract read
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Article in International journal of cardiology. Heart & vasculature, 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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4 · The record

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5 · Who and what money

Authors and funding

16 authors.

Daniel AkrawiDepartment of Cardiology, Campbelltown Hospital, Sydney, NSW, Australia.
Krishna KadappuDepartment of Cardiology, Campbelltown Hospital, Sydney, NSW, Australia.
James XuDepartment of Cardiology, Liverpool Hospital, Sydney, NSW, Australia.
Tamer Yousef Naguib BadieDepartment of Cardiology, Campbelltown Hospital, Sydney, NSW, Australia.
Oliver GibbsDepartment of Cardiology, Campbelltown Hospital, Sydney, NSW, Australia.
Hashim KachwallaDepartment of Cardiology, Campbelltown Hospital, Sydney, NSW, Australia.
Phong Td NguyenDepartment of Cardiology, Campbelltown Hospital, Sydney, NSW, Australia.
Rahul KurupDepartment of Cardiology, Campbelltown Hospital, Sydney, NSW, Australia.
Upul PremawardhanaDepartment of Cardiology, Campbelltown Hospital, Sydney, NSW, Australia.
Sidney LoDepartment of Cardiology, Liverpool Hospital, Sydney, NSW, Australia.
Justyn HuangDepartment of Cardiology, Campbelltown Hospital, Sydney, NSW, Australia.
Hao TranDepartment of Cardiology, Campbelltown Hospital, Sydney, NSW, Australia.
Kavie SoosapillaDepartment of Cardiology, Campbelltown Hospital, Sydney, NSW, Australia.
Aiden O'loughlinDepartment of Cardiology, Campbelltown Hospital, Sydney, NSW, Australia.
Annemarie HennessySchool of Medicine, Western Sydney University, Campbelltown, NSW, Australia.
Giuseppe FemiaFaculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Vessel-fractional-flow-reserve (vFFR) estimates coronary physiology from the three-dimensional reconstruction of two angiographic projections using computational fluid dynamics. Although its diagnostic accuracy using optimised angiographic acquisitions is well established, evidence supporting its use with baseline diagnostic catheter images remains limited. Aims: To evaluate the diagnostic performance of real-time vFFR derived from baseline diagnostic catheter images against wire-based FFR, and to compare its performance with vFFR computed from optimised angiographic projections. Methods: VERMONT Non-Optimised was a prospective, single-centre, blinded study in which real-time vFFR derived from both baseline diagnostic and optimised images were measured and compared with simultaneous wire-based FFR. A wire-based FFR of ≤ 0.80 defined a physiologically significant lesion. Results: In 195 patients with 205 intermediate lesions, 56 (27.3%) lesions were excluded from vFFR analysis. vFFR derived from baseline diagnostic images demonstrated an AUC of 0.91 (95% CI,0.87-0.96) for detecting lesions with FFR ≤ 0.80, achieving 94% sensitivity, 75% specificity, a negative predictive value of 96%, and a positive predictive value of 67%. Baseline diagnostic and optimised vFFR were strongly correlated (R = 0.87,p < 0.001), with a mean bias of -0.0075 ± 0.0490 and an intraclass correlation coefficient of 0.93 (95% CI,0.90-0.95), indicating excellent agreement. Conclusion: Real-time vFFR derived from judiciously selected baseline diagnostic catheter images demonstrated strong overall accuracy and high sensitivity for detecting physiologically significant lesions, with similar diagnostic performance to vFFR derived from optimised images. These findings support the use of vFFR as a reliable screening tool for intermediate lesions in both prospective and retrospective settings.

Indexed as

Angiogram based fractional flow reserveBaseline diagnostic imagesFFRFractional flow reserveVessel fractional flow reservevFFR

Identifiers

PMID41909832
PMCPMC13018892

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