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Coronary CT Angiography: Emerging and Future Technologies for Precision Cardiovascular...
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Coronary CT Angiography: Emerging and Future Technologies for Precision Cardiovascular Imaging

A special issue of Journal of Cardiovascular Development and Disease (ISSN 2308-3425). This special issue belongs to the section "Imaging".

Deadline for manuscript submissions: 31 May 2026 | Viewed by 1108

Special Issue Editors

Dr. David C. Rotzinger

E-Mail Website
Guest Editor
Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland
Interests: CT; cardiovascular imaging; coronary arteries; radiology
Special Issues, Collections and Topics in MDPI journals
Dr. Guillaume Fahrni

E-Mail Website
Guest Editor Assistant
Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
Interests: cardiovascular imaging; spectral photon-counting ct (SPCCT); artificial intelligence in radiology; emergency radiology

Special Issue Information

Dear Colleagues,

Coronary CT angiography (CTA) has become a cornerstone in the noninvasive evaluation of coronary artery disease, offering high diagnostic accuracy and prognostic value. Recent technological advances are now pushing its capabilities even further, addressing limitations such as blooming artifacts, motion-induced image degradation, and noise at reduced radiation doses. This Special Issue focuses on the integration of innovative methods that aim to improve image quality, diagnostic precision, and clinical workflow efficiency.

We invite contributions addressing:

  • Clinical validation and technical development of CT-derived fractional flow reserve (FFR-CT/FFR-AI).
  • Deep-learning–based denoising and artifact reduction approaches for enhanced diagnostic reliability.
  • Novel reconstruction techniques and motion correction algorithms improving temporal and spatial resolution.
  • Evaluation of blooming artifact reduction strategies in the assessment of heavily calcified coronary plaques.
  • Emerging paradigms such as photon-counting CT, AI-powered image post-processing, and hybrid imaging workflows.
  • Reviews highlighting the impact of these technologies on clinical outcomes, cost-effectiveness, and guideline implementation.

This Special Issue aims to provide a comprehensive overview of cutting-edge tools that are shaping the future of coronary CTA, bridging the gap between technical innovations and daily clinical practice.

Dr. David C. Rotzinger
Dr. Guillaume Fahrni
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Cardiovascular Development and Disease is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • coronary CTA
  • FFR-CT
  • AI in imaging
  • deep learning
  • artifact reduction
  • photon-counting CT
  • cardiovascular diagnostics

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Published Papers (1 paper)

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Review

14 pages, 636 KB  
Review
Coronary Computed Tomography Angiography to Exclude Acute Coronary Syndrome in Low-Risk Chest Pain Patients
by Lauren Ling, Asim Shaikh and Matthew Sibbald
J. Cardiovasc. Dev. Dis. 2025, 12(12), 493; https://doi.org/10.3390/jcdd12120493 - 14 Dec 2025
Viewed by 777
Abstract
Background: Coronary computed tomography angiography (CCTA) is a non-invasive imaging tool used predominantly in suspected chronic coronary artery disease (CAD) patients, due to its high negative predictive value. However, increasing focus has been placed on CCTA to manage and risk stratify acute chest [...] Read more.
Background: Coronary computed tomography angiography (CCTA) is a non-invasive imaging tool used predominantly in suspected chronic coronary artery disease (CAD) patients, due to its high negative predictive value. However, increasing focus has been placed on CCTA to manage and risk stratify acute chest pain patients in emergency departments (ED). Objective: This scoping review summarizes the available evidence on the role of CCTA to exclude acute coronary syndrome (ACS) in low-risk acute chest pain patients, focusing on its diagnostic accuracy, safety, and application in the context of high sensitivity cardiac troponin assays (hs-cTn). Methods: Articles published between January 2015 and March 2025 investigating CCTA use in low-risk acute chest pain patients were retrieved from Medline, Embase, Emcare, and Web of Science databases. Results: 22 articles (13,617 patients) were retrieved. CCTA had strong diagnostic performance, with an excellent negative predictive value (99.8–100%) and sensitivity (94–100%) for ACS diagnosis and prediction of major adverse cardiovascular events. Specificity and positive predictive values were lower and less consistent. When combined with hs-cTn, the diagnostic accuracy of CCTA for ACS was improved significantly. CCTA was associated with low rates of ACS at follow-up (0–3.5%), which were lower than or comparable to the safety outcomes of standard care and stress testing. Full article
(This article belongs to the Special Issue Coronary CT Angiography: Emerging and Future Technologies for Precision Cardiovascular Imaging)
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