The Future of Cardiac Imaging in the Diagnosis, 2nd Edition

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

Deadline for manuscript submissions: 31 January 2026 | Viewed by 563

Special Issue Editor

Special Issue Information

Dear Colleagues,

Over the years, significant progress has been made in cardiovascular imaging techniques, leading to improved diagnosis and treatment of cardiovascular diseases. The 2nd edition of this Special Issue, titled “The Future of Cardiac Imaging in the Diagnosis”, aims to explore innovative imaging modalities that are being used to assess cardiac structure and function, such as echocardiography, cardiac magnetic resonance imaging (MRI), computed tomography (CT), and nuclear imaging.

We welcome papers that present the latest research findings and clinical applications of these imaging techniques. This Special Issue explores the role of cardiovascular imaging in the early detection of cardiovascular diseases, risk stratification, and treatment evaluation; addresses the challenges and limitations faced by cardiovascular imaging; and proposes potential solutions. Moreover, it discusses the future prospects of cardiovascular imaging, including emerging technologies and novel imaging techniques. These advancements have the potential to revolutionize cardiovascular care by providing more accurate and detailed information about the heart and blood vessels.

Overall, this Special Issue aims to provide readers with an overview of the current progress in cardiovascular imaging, highlighting its significance in the diagnosis, management, and prevention of cardiovascular diseases, while also exploring the potential of future developments in this rapidly evolving field.

Prof. Dr. Grigorios Korosoglou
Guest Editor

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Keywords

  • cardiovascular imaging
  • diagnosis and management
  • early detection
  • risk stratification
  • emerging technologies

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Published Papers (1 paper)

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Research

18 pages, 2073 KB  
Article
Longitudinal Effects of Lipid-Lowering Treatment on High-Risk Plaque Features and Pericoronary Adipose Tissue Attenuation Using Serial Coronary Computed Tomography
by Loris Weichsel, Florian André, Matthias Renker, Lukas D. Weberling, Philipp Breitbart, Daniel Overhoff, Meinrad Beer, Borbála Vattay, Sebastian Buss, Mohamed Marwan, Stefan Baumann, Andreas A. Giannopoulos, Natalia Solowjowa, Sebastian Kelle, Norbert Frey, Grigorios Korosoglou and on behalf of the LOCATE Investigators
Diagnostics 2025, 15(18), 2340; https://doi.org/10.3390/diagnostics15182340 - 16 Sep 2025
Viewed by 455
Abstract
Aim: To evaluate the impact of different lipid-lowering treatment intensities on high-risk plaque features and pericoronary adipose tissue (PCAT) attenuation in patients undergoing serial coronary computed tomography angiography (CCTA). Methods: Individuals with suspected or known coronary artery disease (CAD) from 11 [...] Read more.
Aim: To evaluate the impact of different lipid-lowering treatment intensities on high-risk plaque features and pericoronary adipose tissue (PCAT) attenuation in patients undergoing serial coronary computed tomography angiography (CCTA). Methods: Individuals with suspected or known coronary artery disease (CAD) from 11 imaging centers who underwent serial CCTA examinations were retrospectively analyzed. Plaque volumes and PCAT were quantified, and the presence of high-risk plaque features was semi-quantitatively assessed using the plaque feature score (PFS). Results: In total, 216 consecutive patients (mean age 63.1 ± 9.7 years, 26.4% female) were included. The mean observation and treatment timespan between the CCTA scans was 824.5 (interquartile range (IQR) = 463.0–1323.0) days (27.5 months). The regression of high-risk features was more common with high-intensity versus low or no lipid-lowering treatment (HR = 4.6, 95%CI = 1.8–12.0, p < 0.001) and was associated with the attenuated increase in non-calcified plaque volume (p < 0.001). PCATmean decreased with increasing intensity of lipid-lowering treatment (p = 0.01) but no associations were observed between the changes in PCAT and PFS or plaque volumes. Lipid-lowering drug intensity was predictive of PFS regression (p < 0.001), whereas baseline PCATRCA was predictive for PFS progression (p = 0.03), both independent of age, cardiovascular risk factors, and baseline plaque volumes. Conclusions: PCAT predicts the progression of high-risk coronary plaque features. High-intensity lipid-lowering drugs may cause the regression of high-risk plaque features through a plaque ‘delipidization’ process. Future trials are now warranted, studying if this process is potentially associated with improved clinical outcomes. Full article
(This article belongs to the Special Issue The Future of Cardiac Imaging in the Diagnosis, 2nd Edition)
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