Evidence map›Paper›PMID 40894846›Full record

ArticleCJC open2025

Shaping Quality in Cardiovascular Magnetic Resonance: A Comparative Study of Segmentation Approaches by Trainees and Experts.

Jan Gröschel, Thomas Hadler, Leonhard Grassow, Hadil Saad, Darian Viezzer, Clemens Ammann, Leonora Zange, Florian von Knobelsdorff-Brenkenhoff, Edyta Blaszczyk, Jeanette Schulz-Menger

Abstract read
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In one paragraph

Article in CJC open, 2025. 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
–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

1 citing paper in PubMed.

  1. 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

10 authors.

Jan GröschelCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Berlin, Germany.
Thomas HadlerCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Berlin, Germany.
Leonhard GrassowCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Berlin, Germany.
Hadil SaadCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Berlin, Germany.
Darian ViezzerCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Berlin, Germany.
Clemens AmmannCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Berlin, Germany.
Leonora ZangeCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Berlin, Germany.
Florian von Knobelsdorff-BrenkenhoffCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Berlin, Germany.
Edyta BlaszczykCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Berlin, Germany.
Jeanette Schulz-MengerCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiovascular magnetic resonance (CMR) is an established cardiovascular imaging (CVI) technique. Deficits in training limit the widespread use of CMR. This study analyzed the influence of CVI experience on segmentation, to define quality standards for teaching and supervision. Methods: Four CMR experts determined left ventricular (LV) and right ventricular (RV) gold-standard contours in end-systole (ES) and end-diastole (ED), by consensus. After a brief teaching session, readers independently performed segmentations. Readers were classified as beginners (no previous experience in CVI), intermediates (previous experience in CVI, but not in CMR), or experts (extensive experience in CVI including CMR). Results were compared, and the cause of deviation was analyzed, using metrics such as the Dice similarity coefficient (DSC). Results: A total of 46 readers (19 beginners, 21 intermediates, 6 experts) performed image analysis. Using the DSC, we found significant differences in endocardial LV ED contours (median [interquartile range]: beginners, 92.9% [91.9%-93.5%]); intermediates, 93.5% (93.0%-94.1%); experts, 93.9% (93.1%-94.3%); Conclusions: After a brief standardized teaching session, beginners and intermediates performed chamber quantification consistent with that of experts. Differences, especially in LV mass and RV segmentations, warrant continuous training, ideally accompanied by automatic methods for quality assurance.

Identifiers

PMID40894846
PMCPMC12399186

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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.