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

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.

Authors

Institutions

Publication Details

Journal
European Radiology
Published
2025-07-26
DOI
https://doi.org/10.1007/s00330-025-11848-y
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Jonathan Richard Weir-McCall, Stephen J. Gandy, Ping Tie, J. Graeme Houston
European Radiology
Radiomics and Machine Learning in Medical Imaging
article

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

Jonathan Richard Weir-McCall, Stephen J. Gandy, Ping Tie, J. Graeme Houston
article en

Abstract

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.

European RadiologyVol. 36(1)
King's College London (GB), Shaoxing University (CN), NHS Tayside (GB), Ninewells Hospital (GB)
Medical Research Scotland
Gender equality
Openalex Percentile: Top 73%
Radiomics and Machine Learning in Medical Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Cardiac left ventricular MRI texture analysis to derive texture characteristics of a healthy population: clinical implications — Jonathan Richard Weir-McCall, Stephen J. Gandy, et al. · European Radiology (2025) | TGRS Research Map | TGRS