Cardiac Imaging: Current Applications and Future Perspectives

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Cardiology".

Deadline for manuscript submissions: 10 October 2024 | Viewed by 988

Special Issue Editors


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Guest Editor
Cardiology, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padua University Hospital, 35128 Padua, Italy
Interests: cardiac imaging; electrocardiography; myocarditis; heart failure

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Guest Editor
1. CMR Unit, Harefield Hospital, Royal Brompton and Harefield Hospitals, Guy’s and St Thomas’ NHS Foundation Trust, London SW3 6NP, UK
2. Department of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy
Interests: echocardiography; congenital heart disease; cardiac imaging; cardiology; cardiovascular magnetic resonance

Special Issue Information

Dear Colleagues,

The field of cardiac imaging has seen remarkable advancements, drastically transforming the landscape of both diagnosis and management of cardiovascular conditions. Contemporary imaging modalities, including advanced echocardiography, cardiac magnetic resonance, computed tomography, and nuclear imaging, have revolutionized our approach to cardiac care. This Special Issue, entitled “Cardiac Imaging: Current Applications and Future Perspectives”, aims to collect these developments and provide novel insights into their clinical applications. Authors are invited to contribute both original research articles and in-depth reviews that shed light on the multifaceted aspects of cardiac imaging, including emerging technological advances and their impact on diagnostic precision, patient outcomes, and optimized clinical workflows. We hope that this Special Issue will represent a useful resource for clinicians, researchers, and healthcare professionals dedicated to cardiac healthcare innovation.

Dr. Anna Baritussio
Dr. Isabella Leo
Guest Editors

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Keywords

  • cardiac imaging
  • echocardiography
  • cardiac CT
  • cardiac MRI
  • nuclear imaging
  • artificial intelligence

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Published Papers (1 paper)

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Research

16 pages, 4154 KiB  
Article
Diagnostic and Prognostic Value of Right Ventricular Fat Quantification from Computed Tomography in Arrhythmogenic Right Ventricular Cardiomyopathy
by Valentina Faga, María Ruiz Cueto, David Viladés Medel, Zoraida Moreno-Weidmann, Paolo D. Dallaglio, Carles Diez Lopez, Gerard Roura, Jose M. Guerra, Rubén Leta Petracca, Joan Antoni Gomez-Hospital, Josep Comin Colet, Ignasi Anguera and Andrea Di Marco
J. Clin. Med. 2024, 13(13), 3674; https://doi.org/10.3390/jcm13133674 - 24 Jun 2024
Viewed by 703
Abstract
Background: In arrhythmogenic right ventricular cardiomyopathy (ARVC) non-invasive scar evaluation is not included among the diagnostic criteria or the predictors of ventricular arrhythmias (VA) and sudden death (SD). Computed tomography (CT) has excellent spatial resolution and allows a clear distinction between myocardium and [...] Read more.
Background: In arrhythmogenic right ventricular cardiomyopathy (ARVC) non-invasive scar evaluation is not included among the diagnostic criteria or the predictors of ventricular arrhythmias (VA) and sudden death (SD). Computed tomography (CT) has excellent spatial resolution and allows a clear distinction between myocardium and fat; thus, it has great potential for the evaluation of myocardial scar in ARVC. Objective: The objective of this study is to evaluate the feasibility, and the diagnostic and prognostic value of semi-automated quantification of right ventricular (RV) fat replacement from CT images. Methods: An observational case–control study was carried out including 23 patients with a definite (19) or borderline (4) ARVC diagnosis and 23 age- and sex-matched controls without structural heart disease. All patients underwent contrast-enhanced cardiac CT. RV images were semi-automatically reconstructed with the ADAS-3D software (ADAS3D Medical, Barcelona, Spain). A fibrofatty scar was defined as values of Hounsfield Units (HU) <−10. Within the scar, a border zone (between −10 HU and −50 HU) and dense scar (<−50 HU) were distinguished. Results: All ARVC patients had an RV scar and all scar-related measurements were significantly higher in ARVC cases than in controls (p < 0.001). The total scar area and dense scar area showed no overlapping values between cases and controls, achieving perfect diagnostic performance (sensitivity and specificity of 100%). Among ARVC patients, 16 (70%) had experienced sustained VA or aborted SD. Among all clinical, ECG and imaging parameters, the dense scar area was the only one with a statistically significant association with VA and SD (p = 0.003). Conclusions: In ARVC, RV myocardial fat quantification from CT is feasible and may have considerable diagnostic and prognostic value. Full article
(This article belongs to the Special Issue Cardiac Imaging: Current Applications and Future Perspectives)
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