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Advancements in Cardiac Imaging: Pioneering Strategies for Cardiovascular Disease Diagnosis
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Advancements in Cardiac Imaging: Pioneering Strategies for Cardiovascular Disease Diagnosis

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

Deadline for manuscript submissions: 31 August 2024 | Viewed by 124

Special Issue Editor

Dr. Panagiotis Antiochos

E-Mail Website
Guest Editor
Cardiology Division, University Hospital of Lausanne (CHUV), 1005 Lausanne, Switzerland
Interests: cardiovascular magnetic resonance; echocardiography; cardiovascular imaging

Special Issue Information

Dear Colleagues,

This Special Issue explores the evolving landscape of cardiac imaging technologies and their pivotal role in diagnosing cardiovascular diseases (CVDs). This area has seen significant progress, with new techniques enhancing the accuracy and efficiency of CVD diagnosis. Multimodality imaging—including transthoracic and transesophageal (3D) echocardiography, cardiovascular MRI, CT, and nuclear imaging—provides detailed views of cardiac structures, enabling earlier and more precise detection of heart diseases. The integration of artificial intelligence and machine learning into image analysis has further revolutionized this field, offering faster and more accurate interpretations of complex cardiac images and “big data”. These advancements not only aid in diagnosis but also incremental prognostic value and personalized treatment planning. With cardiovascular diseases remaining a leading cause of death globally, these advancements in non-invasive cardiac imaging are critical. They not only improve diagnostic capabilities but also enhance patient outcomes by facilitating early intervention. The field continues to evolve, driven by technological innovation and a deeper understanding of heart diseases, promising even more sophisticated diagnostic strategies in the future. Submissions are invited on, but not limited to, the following topics:

  • Multimodality Imaging Techniques: Emerging techniques in echocardiography, MRI, CT, and nuclear imaging;
  • Artificial Intelligence in Cardiac Imaging: AI and machine learning applications in image interpretation and diagnosis;
  • Imaging in Interventional Cardiology: The role of imaging in guiding interventional procedures;
  • Clinical Trials: Reporting on clinical trials in cardiac imaging;
  • Imaging Biomarkers: Identification and validation of imaging biomarkers for early disease detection and progression;
  • Image-Guided Therapy: The role of imaging in guiding invasive cardiac procedures.

Dr. Panagiotis Antiochos
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. 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

  • advanced cardiac imaging
  • cardiovascular MRI
  • echocardiography
  • cardiovascular CT
  • nuclear cardiac imaging
  • AI in cardiac diagnosis
  • imaging in cardiac interventions
  • virtual cardiac imaging
  • quantitative cardiac analysis

Published Papers (1 paper)

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Research

11 pages, 2128 KiB  
Article
Energy Loss Index and Dimensionless Index Outperform Direct Valve Planimetry in Low-Gradient Aortic Stenosis
by Sarah Hugelshofer, Diana de Brito, Panagiotis Antiochos, Georgios Tzimas, David C. Rotzinger, Denise Auberson, Agnese Vella, Stephane Fournier, Matthias Kirsch, Olivier Muller and Pierre Monney
J. Clin. Med. 2024, 13(11), 3220; https://doi.org/10.3390/jcm13113220 - 30 May 2024
Viewed by 74
Abstract
Background/Objectives: Among patients with suspected severe aortic stenosis (AS), discordance between effective orifice area (EOA) and transvalvular gradients is frequent and requires a multiparametric workup including flow assessment and calcium-scoring to confirm true severe AS. The aim of this study was to assess [...] Read more.
Background/Objectives: Among patients with suspected severe aortic stenosis (AS), discordance between effective orifice area (EOA) and transvalvular gradients is frequent and requires a multiparametric workup including flow assessment and calcium-scoring to confirm true severe AS. The aim of this study was to assess direct planimetry, energy loss index (Eli) and dimensionless index (DI) as stand-alone parameters to identify non-severe AS in discordant cases. Methods: In this prospective cohort study, we included consecutive AS patients > 70 years with EOA < 1.0 cm2 referred for valve replacement between 2014 and 2017. AS severity was retrospectively reassessed using the multiparametric work-up recommended in the 2021 ESC/EACTS guidelines. DI and ELi were calculated, and valve area was measured by direct planimetry on transesophageal echocardiography. Results: A total of 101 patients (mean age 82 y; 57% male) were included. Discordance between EOA and gradients was observed in 46% and non-severe AS found in 24% despite an EOA < 1 cm2. Valve planimetry performed poorly, with an area under the ROC curve (AUC) of 0.64. At a cut-off value of >0.82 cm2, sensitivity and specificity to identify non-severe AS were 67 and 66%, respectively. DI and ELi showed a higher diagnostic accuracy, with an AUC of 0.77 and 0.76, respectively. Cut-off values of >0.24 and >0.6 cm2/m2 identified non-severe AS, with a high specificity of 79% and 91%, respectively. Conclusions: Almost one in four patients with EOA < 1 cm2 had non-severe AS according to guideline-recommended multiparametric assessment. Direct valve planimetry revealed poor diagnostic accuracy and should be interpreted with caution. Usual prognostic cut-off values for DI > 0.24 and ELI > 0.6 cm2/m2 identified non-severe AS with high specificity and should therefore be included in the assessment of low-gradient AS. Full article
(This article belongs to the Special Issue Advancements in Cardiac Imaging: Pioneering Strategies for Cardiovascular Disease Diagnosis)
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