Evidence mapPaperPMID 41686239Full record

ArticleEuropean radiology2026

Clinical use of coronary computed tomography angiography-derived fractional flow reserve: expert consensus by an International Working Group.

Chun Xiang Tang, Jonathon A Leipsic, Bjarne L Nørgaard, Pontone Gianluca, Christian Tesche, Junjie Yang, Bon-Kwon Koo, Carlos Collet, Mouaz H Al-Mallah, Lei Xu and 6 more

Abstract readConsensus Statement
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In one paragraph

Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Chun Xiang TangDepartment of Radiology, Jinling Hospital, Medical School of Nanjing University, 210002, Nanjing, Jiangsu, China.
Jonathon A LeipsicProvidence Health Care, Department of Radiology, University of British Columbia, Vancouver, BC, Canada.
Bjarne L NørgaardDepartment of Cardiology, Aarhus University Hospital Skejby, Aarhus, Denmark.
Pontone GianlucaDepartment of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.
Christian TescheDepartment of Cardiology, Clinic Augustinum Munich, 16 Wolkerweg, 81375, München, Germany.
Junjie YangDepartment of Cardiology, Chinese PLA General Hospital, Beijing, China.
Bon-Kwon KooDepartment of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Republic of Korea.
Carlos ColletCardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
Mouaz H Al-MallahHouston Methodist Hospital, 6565 Fannin St, Houston, TX, 77030, USA.
Lei XuDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, 10029, Beijing, China.
Jia Yin ZhangDepartment of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Neng DaiDepartment of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China.
Guang Ming LuDepartment of Radiology, Jinling Hospital, Medical School of Nanjing University, 210002, Nanjing, Jiangsu, China.
Min Wen ZhengDepartment of Cardiology, Xijing Hospital, Fourth Military Medical University, 710032, Xi'an, Shaanxi, China.
Long Jiang ZhangDepartment of Radiology, Jinling Hospital, Medical School of Nanjing University, 210002, Nanjing, Jiangsu, China. kevinzhlj@163.com.ORCID http://orcid.org/0000-0002-5546-6823
U Joseph SchoepfDepartment of Radiology, Jinling Hospital, Medical School of Nanjing University, 210002, Nanjing, Jiangsu, China. dr.schoepf@gmail.com.

Funding

National Major Science and Technology Projects of China 2024ZD0521700National Natural Science Foundation of China 82171933National Natural Science Foundation of China 82230068National Natural Science Foundation of China 82441019Outstanding Youth Foundation of Jiangsu Province BK20230048
6 · The paper itself

Abstract

objectivesCoronary computed tomography angiography (CCTA)-derived fractional flow reserve (CT-FFR) has emerged as a critical tool for assessing functional ischemia in coronary artery disease (CAD). This expert consensus, developed by an international working group, provides a comprehensive overview of the clinical applications, diagnostic performance, and future perspectives of CT-FFR. METHODS AND

resultsThe consensus highlights the use of CT-FFR as an indicator for abnormal coronary physiology, demonstrating superior diagnostic performance over anatomical CCTA alone, with pooled accuracy of 71%-91%, sensitivity of 76%-98% and specificity of 61%-94% at the per-vessel level, particularly in intermediate lesions. It also addresses factors influencing CT-FFR's diagnostic performance, including technical, physiological, and measurement-related considerations. The document discusses the role of CT-FFR in decision-making, serving as a gatekeeper for invasive coronary angiography (ICA) and aiding in percutaneous coronary intervention (PCI) planning. Additionally, CT-FFR shows promise as a prognostic marker, with lower CT-FFR values associated with a higher risk of major adverse cardiovascular events (MACE). Economic evaluations indicate that CT-FFR is cost-effective compared to traditional non-invasive strategies. The consensus also explores the application of CT-FFR in complex lesions and non-atherosclerotic diseases, such as myocardial bridging and anomalous aortic origin of coronary arteries. Future directions include the development of more accurate CT-FFR approaches and the exploration of CT-FFR-based risk stratification.

conclusionsThis consensus aims to provide guidance for radiologists, cardiologists, and other healthcare professionals, promoting the standardized and evidence-based use of CT-FFR in clinical practice. KEY POINTS: Question Inconsistent implementation and evidence gap of CT-derived fractional flow reserve need an international consensus to optimize functional assessment of coronary artery disease and downstream management. Findings This consensus standardizes CT-derived fractional flow reserve application, validating its diagnostic performance (accuracy 71%-91%, sensitivity 76%-98%, specificity 61%-94%), utility in guiding revascularization, and prognostic value. Clinical relevance Standardized CT-derived fractional flow reserve use can optimize patient management by effectively reducing unnecessary invasive coronary angiography, guiding targeted revascularization, and improving risk prediction based on lesion-specific physiology.

Indexed as

Computed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseFractional Flow Reserve, MyocardialHumansSensitivity and SpecificityComputed tomography angiographyCoronary angiographyCoronary artery diseaseFractional flow reserve, Myocardial

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Registered trials

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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 Socratic graph.