Evidence map›Paper›PMID 36983156›Full record

ArticleJournal of clinical medicine2023

A Novel CT Perfusion-Based Fractional Flow Reserve Algorithm for Detecting Coronary Artery Disease.

Xuelian Gao, Rui Wang, Zhonghua Sun, Hongkai Zhang, Kairui Bo, Xiaofei Xue, Junjie Yang, Lei Xu

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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

5 citing papers in PubMed, 7 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

8 authors at 4 institutions in 2 countries.

Xuelian GaoDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
Rui WangDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
Zhonghua SunDiscipline of Medical Radiation Science, Curtin Medical School, Curtin University, Perth 6845, Australia.ORCID 0000-0002-7538-4761
Hongkai ZhangDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
Kairui BoDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
Xiaofei XueSchool of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China.
Junjie YangDepartment of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, Beijing 100048, China.ORCID 0000-0001-8032-1418
Lei XuDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
Capital Medical University · CNChinese PLA General Hospital · CNCurtin University · AUSun Yat-sen University · CN

Funding

National Natural Science Foundation of China U1908211,82271986the Capital's Funds for Health Improvement and Research Foundation of China 2020-1-1052
6 · The paper itself

Abstract

backgroundThe diagnostic accuracy of fractional flow reserve (FFR) derived from coronary computed tomography angiography (CCTA) (FFR-CT) needs to be further improved despite promising results available in the literature. While an innovative myocardial computed tomographic perfusion (CTP)-derived fractional flow reserve (CTP-FFR) model has been initially established, the feasibility of CTP-FFR to detect coronary artery ischemia in patients with suspected coronary artery disease (CAD) has not been proven.

methodsThis retrospective study included 93 patients (a total of 103 vessels) who received CCTA and CTP for suspected CAD. Invasive coronary angiography (ICA) was performed within 2 weeks after CCTA and CTP. CTP-FFR, CCTA (stenosis ≥ 50% and ≥70%), ICA, FFR-CT and CTP were assessed by independent laboratory experts. The diagnostic ability of the CTP-FFR grouped by quantitative coronary angiography (QCA) in mild (30-49%), moderate (50-69%) and severe stenosis (≥70%) was calculated. The effect of calcification of lesions, grouped by FFR on CTP-FFR measurements, was also assessed.

resultsOn the basis of per-vessel level, the AUCs for CTP-FFR, CTP, FFR-CT and CCTA were 0.953, 0.876, 0.873 and 0.830, respectively (all

conclusionsA novel CTP-FFR model has promising value to detect myocardial ischemia in CAD, particularly in mild-to-moderate stenotic lesions.

Indexed as

computed tomographic perfusioncoronary artery diseasefractional flow reservefractional flow reserve from CT angiographymyocardial ischemia

Identifiers

PMID36983156
PMCPMC10058085
OpenAlexW4323851093

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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.