Multimodality Cardiac Imaging: Enhancing Precision in Cardiology
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 8
Special Issue Editors
Interests: valvular heart disease; heart failure; advanced echocardiography
Special Issue Information
Dear Colleagues,
We are pleased to invite you to contribute to this Diagnostics Special Issue, entitled “Multimodality Cardiac Imaging: Enhancing Precision in Cardiology.” Cardiac imaging has become an essential pillar of modern cardiology, guiding diagnosis, risk assessment, and treatment across the spectrum of cardiovascular disease. The integration of advanced and multiple imaging modalities—echocardiography, cardiac CT, cardiac MRI, and nuclear techniques—now allows for a more comprehensive understanding of cardiac anatomy, function, and pathology. This multimodality approach has transformed clinical practice, enabling earlier detection of disease, refined patient selection for interventions, and more accurate follow-up after therapy.
This Special Issue aims to present recent advances, clinical applications, and emerging trends in cardiovascular imaging. Particular emphasis will be placed on contributions that elucidate how the integration of advanced and complementary imaging modalities refines diagnostic precision, informs complex clinical decision making, and facilitates individualized therapeutic strategies across the spectrum of cardiovascular disease. The topic aligns closely with the scope of Diagnostics, which emphasizes the development and validation of innovative diagnostic methodologies, quantitative imaging biomarkers, and translational approaches with demonstrable clinical relevance and impact.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Clinical impact of advanced and multimodality imaging in coronary, valvular, and heart muscle disease.
- Imaging guidance for transcatheter and surgical interventions.
- Quantitative imaging biomarkers for prognosis and therapy planning.
- Integration of artificial intelligence into clinical imaging pathways.
- Strategies for optimizing diagnostic accuracy, safety, and efficiency.
We look forward to receiving your contributions.
Dr. Sanjeev Bhattacharyya
Guest Editor
Dr. Apostolos Vrettos
Guest Editor Assistant
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 100 words) can be sent to the Editorial Office for announcement on this website.
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. Diagnostics is an international peer-reviewed open access semimonthly 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 2600 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
- multimodality cardiac imaging
- echocardiography
- cardiac CT
- cardiac MRI
- transcatheter interventions
- precision cardiology
- imaging biomarkers
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