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Diagnostics
Special Issues
Cardiovascular Diseases: Innovations in Diagnosis and Management
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Cardiovascular Diseases: Innovations in Diagnosis and Management

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Clinical Diagnosis and Prognosis".

Deadline for manuscript submissions: 31 January 2026 | Viewed by 568

Special Issue Editor

Dr. Hisao Hara

E-Mail Website
Guest Editor
National Center for Global Health and Medicine, Tokyo, Japan
Interests: coronavirus disease

Special Issue Information

Dear Colleagues,

Various studies on the prognosis of myocardial infarction are currently underway. Among these, new directions are being rapidly established in guidelines across different regions.

① Improvement of prognostic prediction models: Recent studies are advancing the development of models that use patients’ specific biomarkers and genetic profiles to more accurately predict individual patient outcomes.

② Association with inflammation: Inflammation markers have been shown to play an important role in predicting the risk of myocardial infarction.

③ Optimization of treatment strategies: Drug therapies such as antiplatelet therapy and statins are known to reduce the risk of myocardial infarction, but recent studies are exploring ways to optimize these treatment strategies.

These topics reflect important research findings aimed at improving the prognosis of patients following myocardial infarction.

Additionally, new biomarkers have emerged as promising indicators for diagnosing myocardial infarction and predicting prognosis. Combining these markers with traditional indicators is expected to enhance risk assessment and optimize treatment strategies for patients.

Dr. Hisao Hara
Guest Editor

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

  • myocardial infarction
  • biomarker
  • prognosis
  • coronary risk
  • residual risk
  • prognosis prediction

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Published Papers (1 paper)

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Review

24 pages, 334 KB  
Review
From Heart to Abdominal Aorta: Integrating Multi-Modal Cardiac Imaging Derived Haemodynamic Biomarkers for Abdominal Aortic Aneurysm Risk Stratification, Surveillance, Pre-Operative Assessment and Therapeutic Decision-Making
by Rafic Ramses and Obiekezie Agu
Diagnostics 2025, 15(19), 2497; https://doi.org/10.3390/diagnostics15192497 - 1 Oct 2025
Viewed by 448
Abstract
Recent advances in cardiovascular imaging have revolutionized the assessment and management of abdominal aortic aneurysm (AAA) through the integration of sophisticated haemodynamic biomarkers. This comprehensive review evaluates the clinical utility and mechanistic significance of multiple biomarkers in AAA pathogenesis, progression, and treatment outcomes. [...] Read more.
Recent advances in cardiovascular imaging have revolutionized the assessment and management of abdominal aortic aneurysm (AAA) through the integration of sophisticated haemodynamic biomarkers. This comprehensive review evaluates the clinical utility and mechanistic significance of multiple biomarkers in AAA pathogenesis, progression, and treatment outcomes. Advanced cardiac imaging modalities, including four-dimensional magnetic resonance imaging (4D MRI), computational fluid dynamics (CFD), and specialized echocardiography, enable precise quantification of critical haemodynamic parameters. Wall shear stress (WSS) emerges as a fundamental biomarker, with values below 0.4 Pa indicating pathological conditions and increased risk for aneurysm progression. Time-averaged wall shear stress (TAWSS), typically maintaining values above 1.5 Pa in healthy arterial segments, provides crucial information about sustained haemodynamic forces affecting the vessel wall. The oscillatory shear index (OSI), ranging from 0 (unidirectional flow) to 0.5 (purely oscillatory flow), quantifies directional changes in WSS during cardiac cycles. In AAA, elevated OSI values between 0.3 and 0.4 correlate with disturbed flow patterns and accelerated disease progression. The relative residence time (RRT), combining TAWSS and OSI, identifies regions prone to thrombosis, with values exceeding 2–3 Pa−1 indicating increased risk. The endothelial cell activation potential (ECAP), calculated as OSI/TAWSS, serves as an integrated metric for endothelial dysfunction risk, with values above 0.2–0.3 Pa−1 suggesting increased inflammatory activity. Additional biomarkers include the volumetric perivascular characterization index (VPCI), which assesses vessel wall inflammation through perivascular tissue analysis, and pulse wave velocity (PWV), measuring arterial stiffness. Central aortic systolic pressure and the aortic augmentation index provide essential information about cardiovascular load and arterial compliance. Novel parameters such as particle residence time, flow stagnation, and recirculation zones offer detailed insights into local haemodynamics and potential complications. Implementation challenges include the need for specialized equipment, standardized protocols, and expertise in data interpretation. However, the potential for improved patient outcomes through more precise risk stratification and personalized treatment planning justifies continued development and validation of these advanced assessment tools. Full article
(This article belongs to the Special Issue Cardiovascular Diseases: Innovations in Diagnosis and Management)
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