Evidence map›Paper›PMID 37378712›Full record

SynthesisEuropean radiology2023

CT for the evaluation of myocardial extracellular volume with MRI as reference: a systematic review and meta-analysis.

Hui Zhang, Huimin Guo, Guangyao Liu, Chuang Wu, Yurong Ma, Shilan Li, Yurong Zheng, Jing Zhang

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
  2. Review
  3. Extracellular volume fraction by cardiac computed tomography (ECVEuropean heart journal. Imaging methods and practice · 2026
    Review
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  17. Photon-counting detector computed tomography in cardiac imaging.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2024
    Review
  18. Article
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.

Hui ZhangDepartment of Magnetic Resonance, Lanzhou University Second Hospital, No.82 Cuiyingmen, Chengguan District, Lanzhou, 730030, China.
Huimin GuoDepartment of Radiology, Zhengzhou University People's Hospital, Fuwai Central China Cardiovascular Hospital, Zhengzhou, 450003, China.
Guangyao LiuDepartment of Magnetic Resonance, Lanzhou University Second Hospital, No.82 Cuiyingmen, Chengguan District, Lanzhou, 730030, China.
Chuang WuDepartment of Magnetic Resonance, Lanzhou University Second Hospital, No.82 Cuiyingmen, Chengguan District, Lanzhou, 730030, China.
Yurong MaDepartment of Magnetic Resonance, Lanzhou University Second Hospital, No.82 Cuiyingmen, Chengguan District, Lanzhou, 730030, China.
Shilan LiDepartment of Magnetic Resonance, Lanzhou University Second Hospital, No.82 Cuiyingmen, Chengguan District, Lanzhou, 730030, China.
Yurong ZhengDepartment of Magnetic Resonance, Lanzhou University Second Hospital, No.82 Cuiyingmen, Chengguan District, Lanzhou, 730030, China.
Jing ZhangDepartment of Magnetic Resonance, Lanzhou University Second Hospital, No.82 Cuiyingmen, Chengguan District, Lanzhou, 730030, China. ery_zhangjing@lzu.edu.cn.ORCID http://orcid.org/0000-0002-1678-5688

Funding

Gansu Province Clinical Research Center for Functional and Molecular Imaging 21JR7RA438Health Industry Research Program Funding Project of Gansu Province GSWSKY-2019-09
6 · The paper itself

Abstract

objectiveMyocardial extracellular volume (ECV) fraction is an important imaging biomarker in clinical decision-making. CT-ECV is a potential alternative to MRI for ECV quantification. We conducted a meta-analysis to comprehensively assess the reliability of CT for ECV quantification with MRI as a reference.

methodsWe systematically searched PubMed, EMBASE, and the Cochrane Library for relevant articles published since the establishment of the database in July 2022. The articles comparing CT-ECV with MRI as a reference were included. Meta-analytic methods were applied to determine the pooled weighted bias, limits of agreement (LOA), and correlation coefficient (r) between CT-ECV and MRI-ECV.

resultsSeventeen studies with a total of 459 patients and 2231 myocardial segments were included. The pooled mean difference (MD), LOA, and r for ECV quantification at the per-patient level was (0.07%; 95% LOA: - 0.42 to 0.55%) and 0.89 (95% CI: 0.86-0.91), respectively, while on the per-segment level was (0.44%; 95% LOA: 0.16-0.72%) and 0.84 (95% CI: 0.82-0.85), respectively. The pooled r from studies with the ECV

conclusionCT showed a good agreement and excellent correlation with MRI for ECV quantification and is a potentially attractive alternative to MRI. CLINICAL RELEVANCE STATEMENT: The myocardial extracellular volume fraction can be acquired using a CT scan, which is not only a viable alternative to myocardial extracellular volume fraction derived from MRI but is also less time-consuming and costly for patients. KEY POINTS: • Noninvasive CT-ECV is a viable alternative to MRI-ECV for ECV quantification. • CT-ECV using the ECV

Indexed as

IodineMyocardiumHumansMagnetic Resonance ImagingPredictive Value of TestsReproducibility of ResultsTomography, X-Ray ComputedIodineFibrosisHeartMagnetic resonance imagingMeta-analysisTomography, X-ray computed

Identifiers

PMID37378712

What OpenQuestion 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 OpenQuestion graph.