Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.7
3.0
Journals
JCM
Special Issues
Cardiac Magnetic Resonance Imaging: Current Techniques and Future Directions
jcm-logo
Submit to Special Issue Submit Abstract to Special Issue Review for JCM Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Cardiac Magnetic Resonance Imaging: Current Techniques and Future Directions

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

Deadline for manuscript submissions: 25 October 2025 | Viewed by 343

Special Issue Editors

Dr. Ioannis Botis

E-Mail Website
Guest Editor
CMR Unit, Royal Brompton Hospital, Guy's and St Thomas' NHS Foundation Trust, London, UK
Interests: clinical cardiology; cardiac MRI; cardiovascular imaging; artificial intelligence in healthcare
Prof. Dr. Theodoros D. Karamitsos

E-Mail Website
Guest Editor
First Department of Cardiology, AHEPA Hospital, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece
Interests: cardiovascular magnetic resonance; heart failure; cardiovascular imaging
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The field of cardiovascular imaging has witnessed remarkable progress in recent years, with cardiac magnetic resonance imaging (CMR) emerging as a cornerstone modality. CMR offers unparalleled insights into cardiac structure, function, and tissue composition while providing precise measurements of blood flow and myocardial perfusion. In this evolving landscape, facilitated by the rapid technological advancements in various fields, it becomes increasingly crucial to understand CMR's unique strengths and its synergies with other imaging techniques in everyday clinical practice.

In this Special Issue, we aim to explore the latest advancements in CMR techniques and their clinical applications across various cardiovascular diseases, while also examining its role within the broader context of multimodality imaging. We invite submissions with original research articles, reviews, and other types of manuscripts that showcase cutting-edge CMR research and innovative clinical applications in various pathologies.

We hope that we will provide a comprehensive overview of the current state-of-the-art practice in cardiac MRI and foster discussions that will drive future developments in this dynamic field.

Dr. Ioannis Botis
Prof. Dr. Theodoros D. Karamitsos
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 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. Journal of Clinical Medicine 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

  • cardiac magnetic resonance imaging
  • cardiovascular magnetic resonance
  • cardiac imaging
  • multimodality imaging
  • parametric mapping
  • late gadolinium enhancement
  • myocardial perfusion
  • myocardial viability
  • cardiomyopathies
  • heart failure

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

11 pages, 315 KiB  
Article
Predictive Value of Left Ventricular Systolic Dysfunction or Wall Motion Abnormalities for Non-Ischemic Myocardial Injury: A Multicenter Cardiovascular Resonance Study
by Justyna M. Sokolska, Justyna Rajewska-Tabor, Marek Koziński, Dorota Kulawiak-Gałąska, Anna Jankowska, Małgorzata Pyda, Karol Miszalski-Jamka and Maciej Haberka
J. Clin. Med. 2025, 14(11), 3691; https://doi.org/10.3390/jcm14113691 (registering DOI) - 24 May 2025
Abstract
Background: Left ventricle (LV) systolic dysfunction, defined as a global (LVejection fraction, LVEF < 50%) and/or regional wall motion abnormalities (RWMA), are the major parameters assessed in patients with cardiovascular diseases. The study evaluated the predictive value of LV systolic dysfunction for [...] Read more.
Background: Left ventricle (LV) systolic dysfunction, defined as a global (LVejection fraction, LVEF < 50%) and/or regional wall motion abnormalities (RWMA), are the major parameters assessed in patients with cardiovascular diseases. The study evaluated the predictive value of LV systolic dysfunction for non-ischemic myocardial injury (presence of myocardial fibrosis/scar) in patients with suspected myocarditis. Methods: This was a multicenter, observational, retrospective study (2018–2021) of stable outpatients with clinically suspected myocarditis referred for a contrast-enhanced CMR. Patients with a history of any other significant cardiovascular disorders were excluded from the study. In each patient, the LV systolic function (LVEF, RWMA) and the presence and severity of late gadolinium enhancement (LGE) were assessed by CMR. Results: A total of 773 consecutive patients were enrolled in the study. The average LVEF was 58 ± 10%, and systolic dysfunction was observed in 95 cases (12%). Subsequently, 456 patients (59%) with confirmed non-ischemic LGE in at least one segment were included in the study group. The average LVEF was 57 ± 11%, with LV systolic dysfunction observed in 126 (28%) individuals with RWMA and 84 (18%) with LVEF < 50%. The median number of LV segments with LGE was 3 (2–5), and the total amount of LGE was 6% (3–10) of the LV mass. The wall motion score index (WMSI) > 1 and LVEF < 56% were the best predictors of non-ischemic injury based on LGE (area under the curve [AUC] 0.62; sensitivity 31%; specificity 94%; p < 0.001 and AUC 0.59; sensitivity 42%; specificity 75%, p < 0.001, respectively). Conclusions: In stable patients with suspected myocarditis, any RWMA and LVEF < 56% had a predictive value for a non-ischemic myocardial injury as assessed by CMR. Full article
(This article belongs to the Special Issue Cardiac Magnetic Resonance Imaging: Current Techniques and Future Directions)
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop