Evidence mapPaperPMID 36105013Full record

ArticleAmerican journal of translational research2022

A clinical trial for computed tomography myocardial perfusion based non-invasive index of microcirculatory resistance (MPBIMR): rationale and trial design.

Beibei Gao, Darong Zhu, Jianchang Xie, Bokai Wu, Peng Xu, Jia Liu, Xiaoshan Tong, Rongliang Chen, Lijun Zhu, Liang Zhou and 7 more

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

17 authors at 2 institutions in 1 country.

Beibei GaoDepartment of Cardiology, Affiliated Hangzhou First People's Hospital Zhejiang University School of Medicine Hangzhou 310000, Zhejiang Province, China.
Darong ZhuDepartment of Radiology, Affiliated Hangzhou First People's Hospital Zhejiang University School of Medicine Hangzhou 310000, Zhejiang Province, China.
Jianchang XieDepartment of Cardiology, Affiliated Hangzhou First People's Hospital Zhejiang University School of Medicine Hangzhou 310000, Zhejiang Province, China.
Bokai WuInstitute of Advanced Computing and Digital Engineering, Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen 518000, Guangdong Province, China.
Peng XuDepartment of Cardiology, Affiliated Hangzhou First People's Hospital Zhejiang University School of Medicine Hangzhou 310000, Zhejiang Province, China.
Jia LiuInstitute of Advanced Computing and Digital Engineering, Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen 518000, Guangdong Province, China.
Xiaoshan TongDepartment of Cardiology, Affiliated Hangzhou First People's Hospital Zhejiang University School of Medicine Hangzhou 310000, Zhejiang Province, China.
Rongliang ChenInstitute of Advanced Computing and Digital Engineering, Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen 518000, Guangdong Province, China.
Lijun ZhuDepartment of Cardiology, Affiliated Hangzhou First People's Hospital Zhejiang University School of Medicine Hangzhou 310000, Zhejiang Province, China.
Liang ZhouDepartment of Cardiology, Affiliated Hangzhou First People's Hospital Zhejiang University School of Medicine Hangzhou 310000, Zhejiang Province, China.
Yufeng QianDepartment of Cardiology, Affiliated Hangzhou First People's Hospital Zhejiang University School of Medicine Hangzhou 310000, Zhejiang Province, China.
Xianhua YeDepartment of Cardiology, Affiliated Hangzhou First People's Hospital Zhejiang University School of Medicine Hangzhou 310000, Zhejiang Province, China.
Jianmin YangDepartment of Cardiology, Affiliated Hangzhou First People's Hospital Zhejiang University School of Medicine Hangzhou 310000, Zhejiang Province, China.
Shasha MengDepartment of Cardiology, Affiliated Hangzhou First People's Hospital Zhejiang University School of Medicine Hangzhou 310000, Zhejiang Province, China.
Junjie GuDepartment of Cardiology, Affiliated Hangzhou First People's Hospital Zhejiang University School of Medicine Hangzhou 310000, Zhejiang Province, China.
Guoxin TongDepartment of Cardiology, Affiliated Hangzhou First People's Hospital Zhejiang University School of Medicine Hangzhou 310000, Zhejiang Province, China.
Jinyu HuangDepartment of Cardiology, Affiliated Hangzhou First People's Hospital Zhejiang University School of Medicine Hangzhou 310000, Zhejiang Province, China.
Hangzhou First People's Hospital · CNShenzhen Institutes of Advanced Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAccurate and rapid assessment of the coronary microcirculation has become an important medical challenge. However, reliable and non-invasive quantitative methods to diagnose coronary microvascular disease (CMVD), select treatments for coronary artery disease (CAD), and therefore improve coronary microcirculation are lacking. Current detection methods have limitations. Therefore, we will assess whether a new detection method, the non-invasive index of microcirculatory resistance (IMR), based on computed tomography (CT) perfusion and hydrodynamics (CT-IMR), can effectively evaluate the function of coronary microvessels.

methodsWe will conduct a multicenter, randomized, open-label study, including a Phase I single-center and Phase II multicenter trial, to assess the accuracy of the non-invasive CT-IMR coronary measurement of microcirculation function. The study will enroll 295 patients who will undergo coronary CT angiography (CCTA), dynamic CT-myocardial perfusion imaging (CT-MPI), invasive coronary angiography (ICA), and invasive IMR. This study will identify the key influencing factors when calculating myocardial microcirculation perfusion and develop an accurate three-dimensional coronary reconstruction method and a non-invasive coronary IMR calculation method based on computational fluid dynamics (CFD). This will facilitate the development of a non-invasive system to detect and measure coronary microcirculation.

conclusionThe clinical trial for computed tomography myocardial perfusion based non-invasive index of microcirculatory resistance (MPBIMR) will establish the key influencing factors when calculating myocardial microcirculation perfusion and create a non-invasive CT-IMR calculation method based on CFD. This method may diagnose patients with simple coronary microvascular lesions and those with coronary microvascular lesions combined with coronary vascular lesions.

Indexed as

cardiovascular imagingcoronary interventioncoronary microvascular diseasehydrodynamicsIndex of microcirculatory resistance

Identifiers

PMID36105013
PMCPMC9452323
OpenAlexW4295908966

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.