Evidence map›Paper›PMID 37964647›Full record

ArticleCardiology journal2024

Diagnostic accuracy of a novel optical coherence tomography-based fractional flow reserve algorithm for assessment of coronary stenosis significance.

Weili Pan, Wenjuan Wei, Yumeng Hu, Li Feng, Yongkui Ren, Xinsheng Li, Changling Li, Jun Jiang, Jianping Xiang, Xiaochang Leng and 1 more

Abstract read
In one paragraph

Article in Cardiology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Weili PanDepartment of Cardiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Wenjuan WeiDepartment of Cardiology, The First People's Hospital of Xiaoshan District, Hangzhou, China.
Yumeng HuArteryFlow Technology Co., Ltd., Hangzhou, China. yumeng.hu@arteryflow.com.ORCID 0000-0002-0779-9172
Li FengArteryFlow Technology Co., Ltd., Hangzhou, China.
Yongkui RenDepartment of Cardiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Xinsheng LiDepartment of Cardiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Changling LiDepartment of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jun JiangDepartment of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jianping XiangArteryFlow Technology Co., Ltd., Hangzhou, China.
Xiaochang LengArteryFlow Technology Co., Ltd., Hangzhou, China.
Da YinDepartment of Cardiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to introduce a novel optical coherence tomography-derived fractional flow reserve (FFR) computational approach and assess the diagnostic performance of the algorithm for assessing physiological function.

methodsThe fusion of coronary optical coherence tomography and angiography was used to generate a novel FFR algorithm (AccuFFRoct) to evaluate functional ischemia of coronary stenosis. In the current study, a total of 34 consecutive patients were included, and AccuFFRoct was used to calculate the FFR for these patients. With the wire-measured FFR as the reference standard, we evaluated the performance of our approach by accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV).

resultsPer vessel accuracy, sensitivity, specificity, PPV, and NPV for AccuFFRoct in identifying hemodynamically significant coronary stenosis were 93.8%, 94.7%, 92.3%, 94.7%, and 92.3%, respectively, were found. Good correlation (Pearson's correlation coefficient r = 0.80, p < 0.001) between AccuFFRoct and FFR was observed. The Bland-Altman analysis showed a mean difference value of -0.037 (limits of agreement: -0.189 to 0.115). The area under the receiver-operating characteristic curve (AUC) of AccuFFRoct in identifying physiologically significant stenosis was 0.94, which was higher than the minimum lumen area (MLA, AUC = 0.91) and significantly higher than the diameter stenosis (%DS, AUC = 0.78).

conclusionsThis clinical study shows the efficiency and accuracy of AccuFFRoct for clinical implementation when using invasive FFR measurement as a reference. It could provide important insights into coronary imaging superior to current methods based on the degree of coronary artery stenosis.

Indexed as

AlgorithmsCoronary AngiographyCoronary StenosisCoronary VesselsFractional Flow Reserve, MyocardialPredictive Value of TestsSeverity of Illness IndexTomography, Optical CoherenceAgedCardiac CatheterizationFemaleHumansMaleMiddle AgedReproducibility of ResultsROC Curveangiographycoronary stenosisfractional flow reserveoptical coherence tomographythree-dimensional reconstruction

Identifiers

PMID37964647
PMCPMC11229798

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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.