Evidence map›Paper›PMID 34348731›Full record

ArticleBiomedical engineering online2021

Diagnostic accuracy of coronary computed tomography angiography-derived fractional flow reserve.

Wenbing Jiang, Yibin Pan, Yumeng Hu, Xiaochang Leng, Jun Jiang, Li Feng, Yongqing Xia, Yong Sun, Jian'an Wang, Jianping Xiang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Biomedical engineering online, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
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  6. Article
  7. Article
  8. Article
  9. [Research progress on image-based calculation of coronary artery fractional flow reserve].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
    Article
  10. Article
  11. 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

11 authors at 3 institutions in 1 country.

Wenbing JiangDepartment of Cardiology, The Third Clinical Institute Affiliated to Wenzhou Medical University, Wenzhou, China.
Yibin PanDepartment of Cardiology, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China.
Yumeng HuArteryFlow Technology Co., Ltd, Hangzhou, China.ORCID http://orcid.org/0000-0002-0779-9172
Xiaochang LengArteryFlow Technology Co., Ltd, Hangzhou, China.
Jun JiangDepartment of Cardiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, China.
Li FengArteryFlow Technology Co., Ltd, Hangzhou, China.
Yongqing XiaArteryFlow Technology Co., Ltd, Hangzhou, China.
Yong SunDepartment of Cardiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, China.
Jian'an WangDepartment of Cardiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, China.
Jianping XiangArteryFlow Technology Co., Ltd, Hangzhou, China.
Changling LiDepartment of Cardiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, China. lichl@edu.zju.cn.
Second Affiliated Hospital of Zhejiang University · CNWenzhou Medical University · CNZhejiang University · CN

Funding

Major projects in Jinhua of China 2020A31003Major projects in Wenzhou of China ZY2019006National Natural Science Foundation of China 31371498National Natural Science Foundation of China 81100141National Natural Science Foundation of China 81320108003National Natural Science Foundation of China 81570322Scientific research project of Zhejiang Education Department Y201330290Zhejiang Provincial key research and development plan 2020C03016Zhejiang Provincial Public Welfare Technology Research Project LGF20H020012
6 · The paper itself

Abstract

backgroundFractional flow reserve (FFR) is a widely used gold standard to evaluate ischemia-causing lesions. A new method of non-invasive approach, termed as AccuFFRct, for calculating FFR based on coronary computed tomography angiography (CCTA) and computational fluid dynamics (CFD) has been proposed. However, its diagnostic accuracy has not been validated.

objectivesThis study sought to present a novel approach for non-invasive computation of FFR and evaluate its diagnostic performance in patients with coronary stenosis.

methodsA total of 54 consecutive patients with 78 vessels from a single center who underwent CCTA and invasive FFR measurement were retrospectively analyzed. The CT-derived FFR values were computed using a novel CFD-based model (AccuFFRct, ArteryFlow Technology Co., Ltd., Hangzhou, China). Diagnostic performance of AccuFFRct and CCTA in detecting hemodynamically significant coronary artery disease (CAD) was evaluated using the invasive FFR as a reference standard.

resultsDiagnostic accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for AccuFFRct in detecting FFR ≤ 0.8 on per-patient basis were 90.7, 89.5, 91.4, 85.0 and 94.1%, respectively, while those of CCTA were 38.9, 100.0, 5.71, 36.5 and 100.0%, respectively. The correlation between AccuFFRct and FFR was good (r = 0.76 and r = 0.65 on per-patient and per-vessel basis, respectively, both p < 0.0001). Area under the curve (AUC) values of AccuFFRct for identifying ischemia per-patient and per-vessel basis were 0.945 and 0.925, respectively. There was much higher accuracy, specificity and AUC for AccuFFRct compared with CCTA.

conclusionsAccuFFRct computed from CCTA images alone demonstrated high diagnostic performance for detecting lesion-specific ischemia, it showed superior diagnostic power than CCTA and eliminated the risk of invasive tests, which could be an accurate and time-efficient computational tool for diagnosing ischemia and assisting clinical decision-making.

Indexed as

Coronary Artery DiseaseCoronary StenosisFractional Flow Reserve, MyocardialComputed Tomography AngiographyCoronary AngiographyHumansPredictive Value of TestsRetrospective StudiesTomography, X-Ray ComputedComputational fluid dynamicsCoronary computed tomography angiographyCT-derived FFRFractional flow reserve

Identifiers

PMID34348731
PMCPMC8340407
OpenAlexW3188366666

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.