Diagnostic utility of cardiac magnetic resonance-derived myocardial strain and fractal analysis in differentiating left ventricular noncompaction from dilated cardiomyopathy

This study aimed to evaluate the diagnostic value of combining cardiac magnetic resonance (CMR) myocardial strain analysis with fractal analysis in differentiating left ventricular noncompaction (LVNC) from dilated cardiomyopathy (DCM). Retrospective CMR data were evaluated for 25 patients diagnosed with DCM, 27 patients diagnosed with LVNC, and 31 healthy control participants. Myocardial strain parameters were obtained using CVI42 software, while trabeculae of the left ventricle was analyzed via fractal analysis using FracAnalyse V1.2. Additionally, standard left ventricular functional parameters were calculated. Differences among the three groups were evaluated using the Kruskal-Wallis test, with pairwise comparisons conducted using the Mann-Whitney U test. Diagnostic efficacy of the parameters was assessed utilizing receiver operating characteristic curve analysis (MedCalc version 15.2.2). GPRS, GPCS, and GPLS exhibited statistically significant differences among the LVNC, DCM, and control groups (p < 0.05). GPRS, the absolute value of GPCS, and GPLS of DCM were significantly lower than LVNC group. The global FD, apical mean FD, apical maximum FD, basal mean FD, and basal maximum FD were significantly different among the LVNC, DCM, and control groups (p < 0.05). The global FD, apical mean FD, apical maximum FD, basal mean FD and basal maximum FD of LVNC were significantly higher than DCM group (p < 0.05). GPLS, GPCS, Global FD and apical maximum FD demonstrated high diagnostic efficacy in differentiating LVNC from DCM, with areas under the ROC curves (AUCs) of 0.928, 0.896, 0.901 and 0.893, respectively. The AUC showed that the diagnostic efficacy of GPLS combinate Global FD was higher than that of Global FD, but there was no statistically significant difference compared to GPLS and the combination of GPLS and apical maximum FD. The integration of myocardial strain assessment with fractal analysis of trabecular morphology using CMR demonstrates significant utility in differentiating LVNC from DCM, offering improved diagnostic precision through evaluation of both myocardial deformation and trabecular complexity.

Authors

Institutions

Publication Details

Journal
BMC Medical Imaging
Published
2026-03-12
DOI
https://doi.org/10.1186/s12880-026-02271-w
Primary Topic
Cardiomyopathy and Myosin Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diagnostic utility of cardiac magnetic resonance-derived myocardial strain and fractal analysis in differentiating left ventricular noncompaction from dilated cardiomyopathy

Yanan JIN, Yong Zhang, Yan Zhang, Jingliang Cheng et al.
BMC Medical Imaging
Cardiomyopathy and Myosin Studies
article

Diagnostic utility of cardiac magnetic resonance-derived myocardial strain and fractal analysis in differentiating left ventricular noncompaction from dilated cardiomyopathy

Yanan JIN, Yong Zhang, Yan Zhang, Jingliang Cheng, Xiaoning Shao
article en

Abstract

This study aimed to evaluate the diagnostic value of combining cardiac magnetic resonance (CMR) myocardial strain analysis with fractal analysis in differentiating left ventricular noncompaction (LVNC) from dilated cardiomyopathy (DCM). Retrospective CMR data were evaluated for 25 patients diagnosed with DCM, 27 patients diagnosed with LVNC, and 31 healthy control participants. Myocardial strain parameters were obtained using CVI42 software, while trabeculae of the left ventricle was analyzed via fractal analysis using FracAnalyse V1.2. Additionally, standard left ventricular functional parameters were calculated. Differences among the three groups were evaluated using the Kruskal-Wallis test, with pairwise comparisons conducted using the Mann-Whitney U test. Diagnostic efficacy of the parameters was assessed utilizing receiver operating characteristic curve analysis (MedCalc version 15.2.2). GPRS, GPCS, and GPLS exhibited statistically significant differences among the LVNC, DCM, and control groups (p < 0.05). GPRS, the absolute value of GPCS, and GPLS of DCM were significantly lower than LVNC group. The global FD, apical mean FD, apical maximum FD, basal mean FD, and basal maximum FD were significantly different among the LVNC, DCM, and control groups (p < 0.05). The global FD, apical mean FD, apical maximum FD, basal mean FD and basal maximum FD of LVNC were significantly higher than DCM group (p < 0.05). GPLS, GPCS, Global FD and apical maximum FD demonstrated high diagnostic efficacy in differentiating LVNC from DCM, with areas under the ROC curves (AUCs) of 0.928, 0.896, 0.901 and 0.893, respectively. The AUC showed that the diagnostic efficacy of GPLS combinate Global FD was higher than that of Global FD, but there was no statistically significant difference compared to GPLS and the combination of GPLS and apical maximum FD. The integration of myocardial strain assessment with fractal analysis of trabecular morphology using CMR demonstrates significant utility in differentiating LVNC from DCM, offering improved diagnostic precision through evaluation of both myocardial deformation and trabecular complexity.

BMC Medical Imaging
First Affiliated Hospital of Zhengzhou University (CN)
Openalex Percentile: Top 33%
Cardiomyopathy and Myosin Studies
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.