Evidence map›Paper›PMID 37634638›Full record

Trial reportKorean journal of radiology2023

Non-Contrast Cine Cardiac Magnetic Resonance Derived-Radiomics for the Prediction of Left Ventricular Adverse Remodeling in Patients With ST-Segment Elevation Myocardial Infarction.

Xin A, Mingliang Liu, Tong Chen, Feng Chen, Geng Qian, Ying Zhang, Yundai Chen

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Korean journal of radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  5. Review
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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

7 authors at 3 institutions in 2 countries.

Xin AChinese People's Liberation Army General Hospital, Chinese People's Liberation Army Medical School, Beijing, China.ORCID 0000-0001-8637-1125
Mingliang LiuNankai University, School of Medicine, Tianjin, Nankai, China.ORCID 0000-0002-5054-8870
Tong ChenChinese People's Liberation Army General Hospital, Chinese People's Liberation Army Medical School, Beijing, China.ORCID 0000-0003-1951-0257
Feng ChenDepartment of Computer Science, the University of Adelaide, Adelaide, Australia.ORCID 0000-0003-1800-8441
Geng QianChinese People's Liberation Army General Hospital, Chinese People's Liberation Army Medical School, Beijing, China.ORCID 0000-0003-4201-3697
Ying ZhangThe Senior Department of Cardiology, the Sixth Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China.ORCID 0000-0002-6199-6548
Yundai ChenThe Senior Department of Cardiology, the Sixth Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China. cyundai@vip.163.com.ORCID 0000-0003-4409-9375
Chinese PLA General Hospital · CNNankai University · CNThe University of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the predictive value of radiomics features based on cardiac magnetic resonance (CMR) cine images for left ventricular adverse remodeling (LVAR) after acute ST-segment elevation myocardial infarction (STEMI). MATERIALS AND

methodsWe conducted a retrospective, single-center, cohort study involving 244 patients (random-split into 170 and 74 for training and testing, respectively) having an acute STEMI (88.5% males, 57.0 ± 10.3 years of age) who underwent CMR examination at one week and six months after percutaneous coronary intervention. LVAR was defined as a 20% increase in left ventricular end-diastolic volume 6 months after acute STEMI. Radiomics features were extracted from the one-week CMR cine images using the least absolute shrinkage and selection operator regression (LASSO) analysis. The predictive performance of the selected features was evaluated using receiver operating characteristic curve analysis and the area under the curve (AUC).

resultsNine radiomics features with non-zero coefficients were included in the LASSO regression of the radiomics score (RAD score). Infarct size (odds ratio [OR]: 1.04 (1.00-1.07);

conclusionRadiomics analysis using non-contrast cine CMR can predict LVAR after STEMI independently and incrementally to LVEF and may provide an alternative to traditional CMR parameters.

Indexed as

ST Elevation Myocardial InfarctionCohort StudiesFemaleHumansInfant, NewbornMagnetic Resonance SpectroscopyMaleRetrospective StudiesStroke VolumeVentricular Function, LeftCardiac magnetic resonance imagingLeft ventricular adverse remodelingPercutaneous coronary interventionRadiomics analysisST-elevated myocardial infarction

Identifiers

PMID37634638
PMCPMC10462896
OpenAlexW4385791887

What OpenQuestion holds

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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.