Evidence map›Paper›PMID 37897523›Full record

ArticleHeart and vessels2024

Investigation of the predictive value of a novel algorithm based on coronary CT angiography regarding fractional flow reserve and revascularization in patients with stable coronary artery disease.

Chang Hou, Yahui Lu, Yuliang Ma, Qi Li, Chuanfen Liu, Mingyu Lu, Chengfu Cao, Jian Liu

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Article in Heart and vessels, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 28% of its field
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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 2 citations in OpenAlex.

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4 · The record

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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

8 authors at 2 institutions in 1 country.

Chang Hou *Department of Cardiology, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, China.
Yahui Lu *Department of Cardiology, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, China.
Yuliang MaDepartment of Cardiology, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, China.
Qi LiDepartment of Cardiology, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, China.
Chuanfen LiuDepartment of Cardiology, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, China.
Mingyu LuDepartment of Cardiology, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, China.
Chengfu CaoDepartment of Cardiology, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, China.
Jian LiuDepartment of Cardiology, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, China. drjianliu@163.com.
Peking University · CNPeking University People's Hospital · CN

Funding

National Natural Science Foundation of China 11832003National Natural Science Foundation of China 81970294
6 · The paper itself

Abstract

Fractional flow reserve (FFR) has been established as a gold standard for functional coronary ischemia. At present, the FFR can be calculated from coronary computed tomography angiography (CCTA) images (CT-FFR). Previous studies have suggested that CT-FFR outperforms CCTA and invasive coronary angiography (ICA) in determining hemodynamic significance of stenoses. Recently, a novel automatical algorithm of CT-FFR called RuiXin-FFR has been developed. The present study is designed to investigate the predictive value of this algorithm and its value in therapeutic decision making. The present study retrospectively included 166 patients with stable coronary artery disease (CAD) who underwent CCTA screening and diagnostic ICA examination at Peking University People's Hospital, in 73 of whom wire-derived FFR was also measured. CT-FFR analyses were performed with a dedicated software. All patients were followed up for at least 1 year. We validated the accuracy of RuiXin-FFR with invasive FFR as the standard of reference, and investigated the role of RuiXin-FFR in predicting treatment strategy and long-term prognosis. The mean age of the patients was 63.3 years with 63.9% male. The CT-FFR showed a moderate correlation with wire-derived FFR (r = 0.542, p < 0.0001) and diagnostic accuracy of 87.6% to predict myocardial ischemia (AUC: 0.839, 95% CI 0.728-0.950), which was significantly higher than CCTA and ICA. In the multivariate logistic regression analysis, CT-FFR ≤ 0.80 was an independent predictor of undergoing coronary revascularization (OR: 45.54, 95% CI 12.03-172.38, p < 0.0001), whereas CT-FFR > 0.80 was an independent predictor of non-obstructive CAD (OR: 14.67, 95% CI 5.42-39.72, p < 0.0001). Reserving ICA and revascularization for vessels with positive CT-FFR could have reduced the rate of ICA by 29.6%, lowered the rate of ICA in vessels without stenosis > 50% by 11.7%, and increased the rate of revascularization in patients receiving ICA by 21.2%. The average follow-up was 23.7 months, and major adverse cardiovascular events (MACE) occurred in 11 patients. The rate of MACE was significantly lower in patients with CT-FFR > 0.80. The new algorithm of CT-FFR can be used to predict the invasive FFR. The RuiXin-FFR can also provide useful information for the screening of patients in whom further ICA is indeed needed and prognosis evaluation.

Indexed as

Coronary Artery DiseaseCoronary StenosisFractional Flow Reserve, MyocardialMyocardial IschemiaAlgorithmsComputed Tomography AngiographyCoronary AngiographyFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesTomography, X-Ray ComputedComputational fluid dynamicsCoronary computed tomography angiographyFractional flow reserveInvasive coronary angiographyStable coronary artery disease

Identifiers

PMID37897523
OpenAlexW4388002152

What OpenQuestion holds

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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 OpenQuestion graph.