Evidence map›Paper›PMID 40715680›Full record

ArticleEuropean radiology2026

Cardiac left ventricular MRI texture analysis to derive texture characteristics of a healthy population: clinical implications.

Ping Tie, Stephen J Gandy, Jonathan Weir-McCall, John Graeme Houston

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Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ping TieDepartment of Imaging Science and Technology, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, UK. p.tie@usx.edu.cn.ORCID http://orcid.org/0009-0008-2543-1110
Stephen J GandyDepartment of Imaging Science and Technology, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, UK.
Jonathan Weir-McCallDepartment of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
John Graeme HoustonDepartment of Imaging Science and Technology, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, UK.

Funding

Medical research Scotland PhD-1044-2016
6 · The paper itself

Abstract

objectivesTo examine the factors affecting radiomic analysis of the myocardium and to identify the optimal approach to image analysis. MATERIALS AND

methodsTexture features were extracted from left ventricular (LV) non-contrast cine images. Texture variable reduction work was performed by studying the region of interest (ROI) size influence and intra- and inter-observer repeatability. The texture analysis (TA) process was applied to a healthy population (n = 600 individuals) for further analysis. ROI were defined at end diastole (ED) and end systole (ES), with separate ROI drawn encompassing the whole myocardial wall, septal wall, and the free wall. Differences between ED and ES; females and males; different ages; and myocardial regions were compared.

resultsFifteen TA variables were tested; the majority were affected by the phase of imaging. Texture varied significantly with age, with ED images and with a whole wall ROI best differentiating between age groups. In the detection of physiological differences between men and women, the combination of ED with whole myocardium quantification resulted in a greater number of features showing a significant difference between the sexes. Consistent TA results were obtained for ROIs placed on the whole myocardial wall and on the septal wall.

conclusionsIn a cohort of healthy volunteers, we have identified a subset of features with high reproducibility that are invariant to the region of interest size. Use of the whole myocardium at ED results in the greatest discrimination of physiological changes associated with age and sex. KEY POINTS: Question The characteristics of healthy population myocardium texture using cardiac MR texture analysis are unclear. Findings A reasonable number of robust texture variables can discriminate physiological changes associated with age and sex. Clinical relevance This work develops a deeper understanding of healthy population myocardium variability, thus helping to increase awareness and recognition of myocardial disease. It is also achievable without the need for contrast agent injections or additional scanning.

Indexed as

Heart VentriclesImage Interpretation, Computer-AssistedMagnetic Resonance Imaging, CineAdultAgedFemaleHealthy VolunteersHumansMaleMiddle AgedReference ValuesReproducibility of ResultsYoung AdultImage processing, computer-assistedMagnetic resonance imaging, cineMyocardium, healthy volunteers

Identifiers

PMID40715680
PMCPMC12712044

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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.