Evidence map›Paper›PMID 29121932›Full record

ArticleBiomedical engineering online2017

Hemodynamics analysis of the serial stenotic coronary arteries.

Xin Liu, Changnong Peng, Yufa Xia, Zhifan Gao, Pengcheng Xu, Xiaoqing Wang, Zhanchao Xian, Youbing Yin, Liqun Jiao, Defeng Wang and 4 more

Abstract read
In one paragraph

Article in Biomedical engineering online, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

14 authors.

Xin LiuDepartment of Anatomy, Guangdong Provincial Key Laboratory of Medical Biomechanics, School of Basic Medical Science, Southern Medical University, 1023-1063 Shatai South Road, Baiyun, Guangzhou, 510515, Guangdong, China.
Changnong PengDepartment of Cardiology, Shenzhen Sun Yat-Sen Cardiovascular Hospital, Shenzhen, 518055, China.
Yufa XiaShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Ave., Xili University Town, Nanshan, Shenzhen, 518055, Guangdong, China.
Zhifan GaoShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Ave., Xili University Town, Nanshan, Shenzhen, 518055, Guangdong, China.
Pengcheng XuDepartment of Anatomy, Guangdong Provincial Key Laboratory of Medical Biomechanics, School of Basic Medical Science, Southern Medical University, 1023-1063 Shatai South Road, Baiyun, Guangzhou, 510515, Guangdong, China.
Xiaoqing WangDepartment of Cardiology, Shenzhen Sun Yat-Sen Cardiovascular Hospital, Shenzhen, 518055, China.
Zhanchao XianDepartment of Cardiology, Shenzhen Sun Yat-Sen Cardiovascular Hospital, Shenzhen, 518055, China.
Youbing YinShenzhen Keya Medical Technology, Shenzhen, China.
Liqun JiaoXuanwu Hospital, Capital University of Medical Sciences, Beijing, China.
Defeng WangDepartment of Imaging and Interventional Radiology, Prince Of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China.
Lin ShiDepartment of Imaging and Interventional Radiology, Prince Of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China.
Wenhua HuangDepartment of Anatomy, Guangdong Provincial Key Laboratory of Medical Biomechanics, School of Basic Medical Science, Southern Medical University, 1023-1063 Shatai South Road, Baiyun, Guangzhou, 510515, Guangdong, China. 13822232749@139.com.
Xin LiuShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Ave., Xili University Town, Nanshan, Shenzhen, 518055, Guangdong, China. liu.xin@siat.ac.cn.
Heye ZhangShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Ave., Xili University Town, Nanshan, Shenzhen, 518055, Guangdong, China. hyzhang@siat.ac.cn.

Funding

CAS Presidents International Fellowship for Visiting Scientists 2017VTA0011Guangdong Provincial Science and Technology Plan Project 2016B090913004National Key Research and Development Program of China 2016YFC1300302National Key Research and Development Program of China 2016YFC1301702Science and Technology Planning Project of Guangdong Province, China 2015B010125005Science and Technology Planning Project of Guangdong Province, China 2016B090917001Shenzhen Research and Innovation Funding JCYJ20151030151431727Shenzhen Research and Innovation Funding SGLH20150213143207911Southern Wisdom Valley innovation team project 2015CXTD05the National High Technology Research and Development Program (863Program) SS2015AA020109
6 · The paper itself

Abstract

Coronary arterial stenoses, particularly serial stenoses in a single branch, are responsible for complex hemodynamic properties of the coronary arterial trees, and the uncertain prognosis of invasive intervention. Critical information of the blood flow redistribution in the stenotic arterial segments is required for the adequate treatment planning. Therefore, in this study, an image based non-invasive functional assessment is performed to investigate the hemodynamic significances of serial stenoses. Twenty patient-specific coronary arterial trees with different combinations of stenoses were reconstructed from the computer tomography angiography for the evaluation of the hemodynamics. Our results showed that the computed FFR based on CTA images (FFRCT) pullback curves with wall shear stress (WSS) distribution could provide more effectively examine the physiological significance of the locations of the segmental narrowing and the curvature of the coronary arterial segments. The paper thus provides the diagnostic efficacy of FFRCT pullback curve for noninvasive quantification of the hemodynamics of stenotic coronary arteries with serial lesions, compared to the gold standard invasive FFR, to provide a reliable physiological assessment of significant amount of coronary artery stenosis. Further, we were also able to demonstrate the potential of carrying out virtual revascularization, to enable more precise PCI procedures and improve their outcomes.

Indexed as

HemodynamicsCoronary AngiographyCoronary StenosisCoronary VesselsHumansImaging, Three-DimensionalPatient-Specific ModelingPressureTomography, X-Ray ComputedComputational fluid dynamicsComputer tomography based fractional flow reserveCoronary arteryGeometric factorsMultiple stenoses

Identifiers

PMID29121932
PMCPMC5679505

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.