Evidence map›Paper›PMID 33156386›Full record

ArticleEuropean radiology2021

Myocardial perfusion assessment in the infarct core and penumbra zones in an in-vivo porcine model of the acute, sub-acute, and chronic infarction.

Meng-Xi Yang, Hua-Yan Xu, Lu Zhang, Lin Chen, Rong Xu, Hang Fu, Hui Liu, Xue-Sheng Li, Chuan Fu, Ke-Ling Liu and 4 more

Abstract read
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In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 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

14 authors at 2 institutions in 1 country.

Meng-Xi YangDepartment of Radiology, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Hua-Yan XuDepartment of Radiology, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second Hospital, Sichuan University, Chengdu, China.
Lu ZhangDepartment of Radiology, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second Hospital, Sichuan University, Chengdu, China.
Lin ChenDepartment of Radiology, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second Hospital, Sichuan University, Chengdu, China.
Rong XuDepartment of Radiology, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second Hospital, Sichuan University, Chengdu, China.
Hang FuDepartment of Radiology, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second Hospital, Sichuan University, Chengdu, China.
Hui LiuDepartment of Radiology, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second Hospital, Sichuan University, Chengdu, China.
Xue-Sheng LiDepartment of Radiology, West China Second Hospital, Sichuan University, Chengdu, China.
Chuan FuDepartment of Radiology, West China Second Hospital, Sichuan University, Chengdu, China.
Ke-Ling LiuDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Hong LiKey Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second Hospital, Sichuan University, Chengdu, China.
Xiao-Yue ZhouMR Collaboration, Siemens Healthcare Ltd, Shanghai, China.
Ying-Kun GuoDepartment of Radiology, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second Hospital, Sichuan University, Chengdu, China.
Zhi-Gang YangDepartment of Radiology, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China. yangzg666@163.com.ORCID http://orcid.org/0000-0001-9341-7697
Sichuan University · CNSiemens (China) · CN

Funding

1·3·5 project for disciplines of excellence, West China Hospital, Sichuan University No.ZYGD18013Applied and Fundamental Study of Sichuan Province No. 2017JY0026National Natural Science Foundation of China 81471721,81771897 and 81971586National Natural Science Foundation of China 81471722 and 81771887National Natural Science Foundation of China 81641169National Natural Science Foundation of China 81901712Program for New Century Excellent Talents in University (No. NCET-13-0386)Program for Young Scholars and Innovative Research Team in Sichuan Province of China (No. 2017TD0005)
6 · The paper itself

Abstract

objectivesTo assess the longitudinal changes of microvascular function in different myocardial regions after myocardial infarction (MI) using myocardial blood flow derived by dynamic CT perfusion (CTP-MBF), and compare CTP-MBF with the results of cardiac magnetic resonance (CMR) and histopathology.

methodsThe CTP scanning was performed in a MI porcine model 1 day (n = 15), 7 days (n = 10), and 3 months (n = 5) following induction surgery. CTP-MBF was measured in the infarcted myocardium, penumbra, and remote myocardium, respectively. CMR perfusion and histopathology were performed for validation.

resultsFrom baseline to follow-up scans, CTP-MBF presented a stepwise increase in the infarcted myocardium (68.51 ± 11.04 vs. 86.73 ± 13.32 vs. 109.53 ± 26.64 ml/100 ml/min, p = 0.001) and the penumbra (104.92 ± 29.29 vs. 120.32 ± 24.74 vs. 183.01 ± 57.98 ml/100 ml/min, p = 0.008), but not in the remote myocardium (150.05 ± 35.70 vs. 166.66 ± 38.17 vs. 195.36 ± 49.64 ml/100 ml/min, p = 0.120). The CTP-MBF correlated with max slope (r = 0.584, p < 0.001), max signal intensity (r = 0.357, p < 0.001), and time to max (r = - 0.378, p < 0.001) by CMR perfusion. Moreover, CTP-MBF defined the infarcted myocardium on triphenyl tetrazolium chloride staining (AUC: 0.810, p < 0.001) and correlated with microvascular density on CD31 staining (r = 0.561, p = 0.002).

conclusionCTP-MBF could quantify the longitudinal changes of microvascular function in different regions of the post-MI myocardium, which demonstrates good agreement with contemporary CMR and histopathological findings. KEY POINTS: • The CT perfusion-based myocardial blood flow (CTP-MBF) could quantify the microvascular impairment in different myocardial regions after myocardial infarction (MI) and track its recovery over time. • The assessment of CTP-MBF is in good agreement with contemporary cardiac MRI and histopathological findings, which potentially facilitates a rapid approach for pathophysiological insights following MI.

Indexed as

Myocardial InfarctionMyocardial Perfusion ImagingAnimalsCoronary CirculationPerfusionPredictive Value of TestsSwineTomography, X-Ray ComputedMagnetic resonance imagingMicrocirculationMyocardial infarctionTomography, X-ray computed

Identifiers

PMID33156386
OpenAlexW3095849021

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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.