Insights into Imaging Diagnosis of Heart Disease

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 452

Special Issue Editor

Special Issue Information

Dear Colleagues,

Optimum twenty-first century cardiology practice is based, in most cases, on cardiovascular imaging. Various non-invasive imaging techniques, including echocardiography with its multiple modalities, cardiac magnetic resonance, myocardial perfusion tomography and CT coronary artery scanning, have become the cornerstone for accurate diagnosis. In addition, Doppler vascular scanning has also become essential for various arterial syndromes and in routine atherosclerosis prevention clinics. This Special Issue of the Diagnostics journal aims to attract high-quality articles, both original and review, in the field of cardiovascular imaging. Combining such a wealth of knowledge in one Special Issue will be a great educational tool, particularly in broadcasting recent imaging advances.

Prof. Dr. Michael Henein
Guest Editor

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Keywords

  • cardiovascular imaging including echocardiography and CTCA
  • cardiovascular imaging
  • echocardiography
  • cardiac magnetic resonance
  • myocardial perfusion imaging

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Published Papers (1 paper)

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Research

14 pages, 1666 KB  
Article
Early Detection of Subclinical Myocardial Dysfunction in Familial Dilated Cardiomyopathy Using Myocardial Work Analysis
by Apostolos Vrettos, Ricardo Prista Monteiro, Miltiadis Triantafyllou, Uzma Gul, Sanjeev Bhattacharyya, Luís R. Lopes, Alexios Antonopoulos, Alexandros Protonotarios, Guy Lloyd, Thomas Gossios and Konstantinos Savvatis
Diagnostics 2025, 15(18), 2363; https://doi.org/10.3390/diagnostics15182363 - 17 Sep 2025
Viewed by 302
Abstract
Background/Objectives: Early detection of familial dilated cardiomyopathy (DCM) is crucial for initiating timely interventions. Myocardial work (MW) analysis, which integrates strain imaging and blood pressure, shows promise in identifying subclinical disease. To assess the utility of MW in detecting early myocardial changes [...] Read more.
Background/Objectives: Early detection of familial dilated cardiomyopathy (DCM) is crucial for initiating timely interventions. Myocardial work (MW) analysis, which integrates strain imaging and blood pressure, shows promise in identifying subclinical disease. To assess the utility of MW in detecting early myocardial changes in relatives of DCM patients with a positive genotype (G+) compared to genotype-negative (G−) controls. Methods: This study involved asymptomatic relatives of DCM patients who underwent comprehensive echocardiographic evaluation, including MW analysis. Subjects (N = 77) were classified into G+ (n = 39) and (n = 38) groups based on genetic testing. Myocardial work parameters—myocardial global work index (GWI), global constructive work (GCW), global wasted work (GWW), and global work efficiency (GWE)—were measured. Statistical analyses compared these parameters between groups and assessed their predictive value for genotype status. Follow-up data were collected and analysed accordingly. Results: Among 77 participants (mean age 36 ± 14 years; 49% women), there were no significant differences in baseline characteristics between G+ and G− groups. S’ septal, s′ average, e′ lateral, E max and E/A were found to be significantly different between the two groups. G+ individuals had significantly reduced GWE (94% vs. 96%, p < 0.001) and increased GWW (113 mmHg% vs. 80 mmHg%, p = 0.001). After adjustment for significant echocardiographic parameters, GWE (OR = 0.746, 95% CI: 0.560–0.994, p = 0.045) and GWW (OR = 1.012, 95% CI: 1.002–1.024, p = 0.047) remained significant predictors of gene carrier status in multivariable analysis. The addition of GWE and GWW significantly increased the area under the curve of a model identifying G+ individuals (p < 0.05). During a median period of follow-up of 53 months, 16 (21%) individuals expressed a cardiomyopathy phenotype. There was a significant correlation between increased baseline GWW, reduced GWE, and the expression of cardiomyopathy phenotype. Conclusions: Myocardial work analysis, specifically GWE and GWW, identifies early myocardial dysfunction in asymptomatic carriers of genetic variants for DCM. These findings suggest that MW could complement traditional imaging in the early detection and management of familial DCM. Full article
(This article belongs to the Special Issue Insights into Imaging Diagnosis of Heart Disease)
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