Advancements in Cardiovascular Imaging

A Special Issue of Diagnostics (ISSN 2075-4418) belonging to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: 31 October 2026 | Viewed by 895

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Guest Editor
Department of Radiology, Medizinische Universität Innsbruck, Innsbruck, Austria
Interests: coronary CTA; coronary artery disease; computed tomography angiography; spectral imaging, photon-counting CT; atherosclerosis; structural heart disease; valves and devices; atrial fibrilla-tion; artificial intelligence
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Special Issue Information

Dear Colleagues,

Advances in cardiovascular imaging using computed tomography are driven by innovations in technology, AI- based data modelling, and clinical validation studies, which have created a broad spectrum of novel clinical applications in cardiovascular diseases over the last decade. Most recently, novel technologies such as spectral imaging/dual-energy and photon counting have emerged and offer novel diagnostic advances.

This Special Issue aims to include proof-of-concept explorative studies, clinical diagnostic/validation studies, and outcome studies (including large-scale datasets) using cardiac/cardiovascular computed tomography, with a focus on novel technologies such as spectral imaging/dual-energy and photon counting and AI-based analyses (e.g., machine learning, LLM, etc.) in cardiac computed tomography.

In this Special Issue, original research articles and reviews are welcome. Research areas include all cardiovascular diseases, with a focus on coronary artery disease, atherosclerosis, structural heart disease, valves and devices, masses, atrial fibrillation, and others.  

We look forward to receiving your contributions.

Prof. Dr. Gudrun Feuchtner
Guest Editor

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Keywords

  • coronary CTA
  • coronary artery disease
  • computed tomography angiography
  • spectral imaging
  • photon-counting CT
  • atherosclerosis
  • structural heart disease
  • valves and devices
  • atrial fibrillation
  • artificial intelligence

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Published Papers (2 papers)

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Research

12 pages, 16126 KB  
Article
Evaluation of High-Risk Anatomical Features in Single and Opposite-Sinus Origin Coronary Artery Anomalies Using Coronary Computed Tomography Angiography
by Fatma Durmaz and Ebru Temel Kurt
Diagnostics 2026, 16(15), 2465; https://doi.org/10.3390/diagnostics16152465 - 5 Aug 2026
Viewed by 327
Abstract
Objective: To characterize the anatomical spectrum of a single coronary artery (SCA) and an anomalous coronary artery originating from the opposite sinus of Valsalva (ACAOS) and to assess high-risk features using Coronary computed tomography angiography (CCTA)-based quantitative parameters. Methods: A retrospective [...] Read more.
Objective: To characterize the anatomical spectrum of a single coronary artery (SCA) and an anomalous coronary artery originating from the opposite sinus of Valsalva (ACAOS) and to assess high-risk features using Coronary computed tomography angiography (CCTA)-based quantitative parameters. Methods: A retrospective review of 2513 consecutive CCTA examinations performed between June 2021 and December 2025 was conducted. Patients diagnosed with ACAOS or SCA were included. Coronary origin, course patterns, and morphological characteristics were analyzed. High-risk features—including interarterial course, intramural segment, acute take-off angle, slit-like ostium, intramural length, and interluminal space (ILS)—were quantitatively assessed using multiplanar and curved MPRs. Results: Twenty-two patients (0.88%) were identified (ACAOS: 0.64%, n = 16; SCA: 0.24%, n = 6). All SCA cases showed benign courses. Among ACAOS patients, 62.5% had an interarterial course. In this subgroup, the mean take-off angle was 14.4° ± 4.5°, with universal slit-like ostium and intramural course. Mean intramural length was 9.21 ± 2.00 mm and minimal ILS was 0.87 ± 0.12 mm. Conclusions: CCTA enables comprehensive anatomical characterization of morphological features associated with higher risk in patients with ACAOS and SCA. Quantitative assessment of parameters such as the take-off angle, intramural course, slit-like ostium, intramural length, and interluminal space may complement clinical evaluation, although further prospective studies incorporating functional ischemia assessment and clinical outcome data are needed to clarify their clinical significance. Full article
(This article belongs to the Special Issue Advancements in Cardiovascular Imaging)
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18 pages, 2015 KB  
Article
Association of the Systemic Immune-Inflammation Index with CCTA-Derived SYNTAX Scores in Patients with Obstructive Coronary Artery Disease
by Davut Unsal Capkan and Mehmet Kaplan
Diagnostics 2026, 16(15), 2417; https://doi.org/10.3390/diagnostics16152417 - 31 Jul 2026
Viewed by 314
Abstract
Background: Systemic inflammation plays an important role in the pathogenesis and progression of coronary artery disease (CAD). The systemic immune-inflammation index (SII) reflects inflammatory and immune status, whereas the platelet-to-lymphocyte ratio (PLR) represents a simpler hematological inflammatory index. This study aimed to compare [...] Read more.
Background: Systemic inflammation plays an important role in the pathogenesis and progression of coronary artery disease (CAD). The systemic immune-inflammation index (SII) reflects inflammatory and immune status, whereas the platelet-to-lymphocyte ratio (PLR) represents a simpler hematological inflammatory index. This study aimed to compare the cross-sectional associations of SII and PLR with coronary computed tomography angiography (CCTA)-derived coronary anatomical complexity among selected patients with established obstructive CAD. Methods: In this single-center retrospective cross-sectional study, 197 patients who underwent CCTA were screened. Of these, 104 were excluded, including 68 patients with <50% coronary stenosis, leaving 93 patients with CCTA-defined obstructive CAD (≥50% stenosis) in the final cohort. Patients were categorized as having low, intermediate, or high anatomical complexity according to the CCTA-derived SYNTAX I score. Exploratory ROC analysis assessed discrimination between high (≥33) and lower anatomical complexity within this selected obstructive-CAD cohort. The reduced Firth models underwent internal validation using 1000 bootstrap resamples. Results: Eighteen patients had high anatomical complexity. SII correlated more strongly with the SYNTAX I score than PLR (r = 0.59 vs. 0.34). In adjusted linear models, a doubling of SII was associated with a 6.10-point higher SYNTAX I score (95% CI: 3.52–8.68; p < 0.001), whereas PLR was not significantly associated (p = 0.104). In the Firth models, both SII (per 100-point increase: OR = 1.15, 95% CI: 1.07–1.25) and PLR (per 10-point increase: OR = 1.06, 95% CI: 1.01–1.12) were associated with high complexity. The data-derived SII cut-off of ≥850 yielded 83.3% sensitivity and 76.0% specificity. Optimism-corrected AUCs were 0.82 for age plus SII and 0.70 for age plus PLR. Conclusions: In this selected single-center cohort of patients with CCTA-defined obstructive CAD, SII showed a stronger cross-sectional association with concurrently assessed coronary anatomical complexity than PLR. The exploratory ROC estimates apply only to discrimination between high and lower anatomical complexity within the included cohort and do not establish clinical utility. Full article
(This article belongs to the Special Issue Advancements in Cardiovascular Imaging)
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