Evidence map›Paper›PMID 39432253›Full record

Observational studyEuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology2024

Accuracy of coronary computed tomography angiography-derived quantitative flow ratio for onsite assessment of coronary lesions.

Tingwen Weng, Daixin Ding, Guanyu Li, Shaofeng Guan, Wenzheng Han, Qian Gan, Ming Li, Lin Qi, Cheng Li, Yang Chen and 7 more

Registry-linked trialAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04665817 (Diagnostic Accuracy of CCTA-derived Versus AngiogRaphy-dErived QuantitativE Flow Ratio Study), which is not on this 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.

NCT04665817 unknown statusnot on this map

Diagnostic Accuracy of CCTA-derived Versus AngiogRaphy-dErived QuantitativE Flow Ratio Study

TypeobservationalSponsorFudan UniversityRan2020 to 2022Enrolled216ConditionsCoronary Stenosis, Hemodynamics, Coronary Artery Disease, Coronary Computed Tomography AngiographyArmsCT-QFR, QFR, FFR
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
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

17 authors.

Tingwen WengDepartment of Cardiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Daixin DingDepartment of Cardiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Guanyu LiBiomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Shaofeng GuanDepartment of Cardiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Wenzheng HanDepartment of Cardiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Qian GanDepartment of Cardiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Ming LiDepartment of Radiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Lin QiDepartment of Radiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Cheng LiDepartment of Radiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Yang ChenDepartment of Cardiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Liang ZhangDepartment of Cardiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Tianqi LiDepartment of Cardiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Xifeng ChangDepartment of Cardiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Yankai ChenBiomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
William WijnsThe Lambe Institute for Translational Medicine, the Smart Sensors Laboratory and CURAM, University of Galway, Galway, Ireland.
Xinkai QuDepartment of Cardiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Shengxian TuBiomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronary computed tomography angiography (CCTA)-derived Murray law-based quantitative flow ratio (CT-μFR) is a novel non-invasive method for fast computation of fractional flow reserve (FFR) from CCTA images, yet its diagnostic performance remains to be prospectively validated.

aimsWe aimed to evaluate the diagnostic performance of onsite CT-μFR in patients with coronary artery disease.

methodsThis prospective, single-centre trial enrolled patients with ≥1 lesion with 30-90% diameter stenosis on CCTA and planned invasive coronary angiography (ICA) within 30 days. CT-μFR, ICA-derived μFR and FFR were evaluated separately in a blinded fashion. The primary endpoint was the diagnostic accuracy of CT-μFR in identifying patients with haemodynamically significant coronary stenosis defined by the invasive standard: FFR ≤0.80, or μFR ≤0.80 when FFR was not available.

resultsBetween December 2020 and August 2023, 260 patients were consecutively enrolled. Paired comparison between CT-μFR and the invasive standard was obtained in 706 vessels from 260 patients. The patient-level accuracy of CT-μFR was 89.6% (95% confidence interval [CI]: 85.9-93.4%), which was significantly higher than the prespecified target of 72.0% (p<0.001). Sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios for CT-μFR were 93.1%, 86.1%, 87.1%, 92.5%, 6.7, and 0.1, respectively. Out of the 231 vessels investigated by FFR, the accuracy of CT-μFR in vessels without extensive calcification was non-inferior to that of μFR (90.6% vs 88.9%; difference=1.8% [95% CI: -2.8 to 5.5%]; p for non-inferiority<0.001).

conclusionsThe study met its prespecified primary endpoint of the diagnostic accuracy of CT-μFR in identifying patients with haemodynamically significant coronary stenosis. CT-μFR was non-inferior to ICA-derived μFR in vessels without extensive calcification. (ClinicalTrials.gov: NCT04665817).

Indexed as

Computed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCoronary StenosisFractional Flow Reserve, MyocardialAgedCoronary VesselsFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesReproducibility of Results

Identifiers

PMID39432253
PMCPMC11472136

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Registered trials

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.