Evidence map›Paper›PMID 37370077›Full record

ArticleBiomedical engineering online2023

Accuracy of intravascular ultrasound-derived virtual fractional flow reserve (FFR) and FFR derived from computed tomography for functional assessment of coronary artery disease.

Wenhao Huang, Jingyuan Zhang, Lin Yang, Yumeng Hu, Xiaochang Leng, Yajun Liu, Hongfeng Jin, Yiming Tang, Jiangting Wang, Xiaowei Liu and 6 more

Open access · goldAbstract read
In one paragraph

Article in Biomedical engineering online, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

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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 at 5 institutions in 2 countries.

Wenhao HuangDepartment of Medicine, The Second College of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Jingyuan ZhangDepartment of Medicine, The Second College of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Lin YangDepartment of Geriatrics, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yumeng HuArteryFlow Technology Co., Ltd., Hangzhou, China.
Xiaochang LengArteryFlow Technology Co., Ltd., Hangzhou, China.
Yajun LiuDepartment of Medicine, The Second College of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Hongfeng JinDepartment of Cardiology, Zhejiang Hospital, Hangzhou, China.
Yiming TangDepartment of Cardiology, Zhejiang Hospital, Hangzhou, China.
Jiangting WangDepartment of Cardiology, Zhejiang Hospital, Hangzhou, China.
Xiaowei LiuDepartment of Cardiology, Zhejiang Hospital, Hangzhou, China.
Yitao GuoDepartment of Cardiology, Zhejiang Hospital, Hangzhou, China.
Chen YeDepartment of Cardiology, Zhejiang Hospital, Hangzhou, China.
Yue FengDepartment of Radiology, Zhejiang Hospital, Hangzhou, China.
Jianping XiangArteryFlow Technology Co., Ltd., Hangzhou, China. jianping.xiang@arteryflow.com.
Lijiang TangDepartment of Cardiology, Zhejiang Hospital, Hangzhou, China. Taizhoutang@hotmail.com.
Changqing DuDepartment of Cardiology, Zhejiang Hospital, Hangzhou, China. ddcq82@126.com.
Zhejiang Hospital · CNZhejiang Chinese Medical University · CNFirst Affiliated Hospital Zhejiang University · CNTechFlow (United States) · USWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronary computed tomography-derived fractional flow reserve (CT-FFR) and intravascular ultrasound-derived fractional flow reserve (IVUS-FFR) are two functional assessment methods for coronary stenoses. However, the calculation algorithms for these methods differ significantly. This study aimed to compare the diagnostic performance of CT-FFR and IVUS-FFR using invasive fractional flow reserve (FFR) as the reference standard.

methodsSix hundred and seventy patients (698 lesions) with known or suspected coronary artery disease were screened for this retrospective analysis between January 2020 and July 2021. A total of 40 patients (41 lesions) underwent intravascular ultrasound (IVUS) and FFR evaluations within six months after completing coronary CT angiography were included. Two novel CFD-based models (AccuFFRct and AccuFFRivus) were used to compute the CT-FFR and IVUS-FFR values, respectively. The invasive FFR ≤ 0.80 was used as the reference standard for evaluating the diagnostic performance of CT-FFR and IVUS-FFR.

resultsBoth AccuFFRivus and AccuFFRct demonstrated a strong correlation with invasive FFR (R = 0.7913, P < 0.0001; and R = 0.6296, P < 0.0001), and both methods showed good agreement with FFR. The area under the receiver operating characteristic curve was 0.960 (P < 0.001) for AccuFFRivus and 0.897 (P < 0.001) for AccuFFRct in predicting FFR ≤ 0.80. FFR ≤ 0.80 were predicted with high sensitivity (96.6%), specificity (85.7%), and the Youden index (0.823) using the same cutoff value of 0.80 for AccuFFRivus. A good diagnostic performance (sensitivity 89.7%, specificity 85.7%, and Youden index 0.754) was also demonstrated by AccuFFRct.

conclusionsAccuFFRivus, computed from IVUS images, exhibited a high diagnostic performance for detecting myocardial ischemia. It demonstrated better diagnostic power than AccuFFRct, and could serve as an accurate computational tool for ischemia diagnosis and assist in clinical decision-making.

Indexed as

Coronary Artery DiseaseCoronary StenosisFractional Flow Reserve, MyocardialComputed Tomography AngiographyCoronary AngiographyHumansPredictive Value of TestsRetrospective StudiesTomography, X-Ray ComputedUltrasonography, InterventionalCoronary computed tomography angiographyCoronary physiologyDiagnostic efficiencyFractional flow reserveIntravascular ultrasound

Identifiers

PMID37370077
PMCPMC10303302
OpenAlexW4382242754

What OpenQuestion holds

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LicenceCC BY
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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.