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Diagnostics
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Advances in Cardiovascular Diseases: Diagnosis and Management
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Advances in Cardiovascular Diseases: Diagnosis and Management

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: 31 July 2025 | Viewed by 2600

Special Issue Editor

Dr. Hezzy Shmueli

E-Mail Website
Guest Editor
Intermediate Intensive Cardiac Care Unit, Soroka University Medical Center, Beer Sheva 84101, Israel
Interests: cardiovascular disease; cardiovascular imaging; acute cardiac care; artificial intelligence; cardiomyopathy

Special Issue Information

Dear Colleagues,

The field of cardiovascular disease diagnosis is evolving promptly, and as of today, we are capable of using real-time imaging data within clinical practice. This Special Issue of Diagnostics focuses on the contemporary methods of the vast cardiac imaging field—from rapid imaging leading to decision-making on acute cardiac care to high-resolution and quality imaging that enables an accurate diagnosis and leads towards the future of using artificial intelligence in the process of inquiry and decision making for each patient with cardiovascular disease. All of these methods are translated to give the contemporary cardiologist a large box of tools, in order to execute the treatment and improve prognosis for the world's leading cause of mortality and morbidity.

We would like to invite you to contribute to this Special Issue that encompasses advanced cardiovascular imaging methods leading to better diagnostic ability that influence patient management and prognosis.

Dr. Hezzy Shmueli
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

  • real-time imaging
  • cardiovascular disease
  • cardiovascular imaging
  • echocardiography
  • cardiac CT
  • cardiac MRI
  • cardiac nuclear scan
  • acute cardiac care
  • artificial intelligence
  • cardiomyopathy

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  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

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

Published Papers (3 papers)

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Research

16 pages, 4550 KiB  
Article
Future Directions in Quantitative SPECT-CT Evaluation of Cardiac Transthyretin Amyloidosis: Correlation with Clinical and Morphological Parameters
by Mirela Gherghe, Mario-Demian Mutuleanu, Tatiana Lucia Suta, Liliana Micu, Adina Elena Stanciu, Sinziana-Octavia Ionescu, Ciprian Cirimbei, Diana Loreta Paun, Andreea Jercan, Sorina Nicoleta Badelita and Daniel Coriu
Diagnostics 2025, 15(4), 482; https://doi.org/10.3390/diagnostics15040482 - 17 Feb 2025
Viewed by 523
Abstract
Background: ATTRv and ATTRwt cardiac amyloidosis (CA) are underrecognized causes of heart failure with preserved left ventricular ejection fraction. The diagnosis of CA remains challenging due to low diagnostic suspicion and clinical overlap with more common diseases. The aim of this study [...] Read more.
Background: ATTRv and ATTRwt cardiac amyloidosis (CA) are underrecognized causes of heart failure with preserved left ventricular ejection fraction. The diagnosis of CA remains challenging due to low diagnostic suspicion and clinical overlap with more common diseases. The aim of this study was to use [99mTc]-PYP SPECT-CT to perform a volumetric evaluation of bone scintigraphy to overcome the limitations of current practices. Methods: A monocentric prospective study was conducted to evaluate a lot of 22 patients with a mean age of 52.86 ± 13.80 years, diagnosed with hereditary cardiac transthyretin amyloidosis (ATTR). Results: Correlations between the quantitative SPECT-CT, clinical data, and morphological parameters were performed, demonstrating moderate to strong correlation of SUVmaxMyocardium/SUVmaxBone to both ECG low voltage and EchoGLS, SUVmaxMyocardium/SUVmaxLiver to myocardial gadolinium kinetics with T1 mapping MRI, diastolic disfunction, sensory–motor polyneuropathy, and EchoGLS, SUVmaxMyocardium/SUVmeanBone with diastolic disfunction and sensory–motor polyneuropathy, as well as SUVmaxMyocardium/SUVmaxSoft tissue to S II, respectively. Conclusions: The moderate to strong correlations among advanced quantitative SPECT-CT metrics and clinical and paraclinical data create the premises to use these parameters for early diagnosis of cardiac ATTR. Further multicentric studies in a larger patient population are needed to validate the newly identified quantitative SPECT-CT parameters. Full article
(This article belongs to the Special Issue Advances in Cardiovascular Diseases: Diagnosis and Management)
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17 pages, 1369 KiB  
Article
Can Radiological Renal Artery Parameters Predict Acute Kidney Injury in Infective Endocarditis Surgery?—From Imaging to Outcomes
by Christian Dinges, Elke Boxhammer, Iris Kremser, Katja Gansterer, Johannes Steindl, Nikolaos Schörghofer, Christoph Knapitsch, Reinhard Kaufmann, Uta C. Hoppe, Matthias Hammerer, Klaus Hergan and Bernhard Scharinger
Diagnostics 2024, 14(22), 2527; https://doi.org/10.3390/diagnostics14222527 - 12 Nov 2024
Viewed by 759
Abstract
Background: Infective endocarditis (IE) poses significant challenges in cardiovascular medicine, often necessitating valvular surgery to manage severe complications. Postoperative acute kidney injury (AKI) is a notable complication affecting patient outcomes. While clinical and procedural factors have been well studied, the role of radiological [...] Read more.
Background: Infective endocarditis (IE) poses significant challenges in cardiovascular medicine, often necessitating valvular surgery to manage severe complications. Postoperative acute kidney injury (AKI) is a notable complication affecting patient outcomes. While clinical and procedural factors have been well studied, the role of radiological renal artery parameters in AKI risk remains underexplored. Methods: This retrospective study analyzed 80 patients with IE who underwent valvular surgery from 2013 to 2021, focusing on postoperative AKI as defined by the Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Radiological parameters, including renal artery calcification, renal ostial calcification, the presence of renal infarctions, and additional arteries, were assessed using preoperative computed tomography (CT). Statistical analyses included binary logistic and linear regression models, Kaplan–Meier survival curves, and Cox proportional hazard regression to explore associations between these parameters and AKI incidence, creatinine levels, and mortality. Results: Out of 80 patients, 31 (38.8%) developed AKI. No significant differences were found in baseline characteristics or radiological parameters between the AKI+ and AKI− groups. Binary logistic and linear regression analyses revealed no substantial relationship between anatomical factors and AKI risk or creatinine levels. However, Cox regression identified “additional renal artery” as a significant predictor of 1-month mortality (HR: 1.747, 95% CI: 1.024–2.979, p = 0.041) but not for 6- or 12-month mortality. Conclusions: Radiological anatomical factors, including calcifications and additional arteries, did not significantly impact AKI risk in IE patients undergoing valvular surgery. However, the presence of additional arteries was associated with increased short-term mortality. These findings suggest the need for further research to elucidate factors contributing to AKI and mortality in this context. Full article
(This article belongs to the Special Issue Advances in Cardiovascular Diseases: Diagnosis and Management)
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9 pages, 1206 KiB  
Article
When Undergoing Thoracic CT (Computerized Tomography) Angiographies for Congenital Heart Diseases, Is It Possible to Identify Coronary Artery Anomalies?
by Cigdem Uner, Ali Osman Gulmez, Hasibe Gokce Cinar, Hasan Bulut, Ozkan Kaya, Fatma Dilek Gokharman and Sonay Aydin
Diagnostics 2024, 14(18), 2022; https://doi.org/10.3390/diagnostics14182022 - 12 Sep 2024
Viewed by 815
Abstract
Introduction and Objective: The aim of this study was to evaluate the coronary arteries in patients undergoing thoracic CT angiography for congenital heart disease, to determine the frequency of detection of coronary artery anomalies in congenital heart diseases, and to determine which type [...] Read more.
Introduction and Objective: The aim of this study was to evaluate the coronary arteries in patients undergoing thoracic CT angiography for congenital heart disease, to determine the frequency of detection of coronary artery anomalies in congenital heart diseases, and to determine which type of anomaly is more common in which disease. Materials and Methods: In our investigation, a 128-detector multidetector computed tomography machine was used to perform thorax CT angiography. The acquisition parameters were set to 80–100 kVp based on the patient’s age and mAs that the device automatically determined based on the patient’s weight. During the examination, an intravenous (IV) nonionic contrast material dose of 1–1.5 mL/kg was employed. An automated injector was used to inject contrast material at a rate of 1.5–2 mL/s. In the axial plane, 2.5 mm sections were extracted, and they were rebuilt with 0.625 mm section thickness. Results: Between October 2022 and May 2024, 132 patients who were diagnosed with congenital heart disease by echocardiography and underwent Thorax CT angiography in our department were retrospectively evaluated. Of the evaluated patients, 32 were excluded with exclusion criteria such as patients being younger than 3 months, older than 18 years, insufficient contrast enhancement in imaging and contrast-enhanced imaging, thin vascular structure, and motion and contrast artifacts; the remaining 100 patients were included in this study. The age range of these patients was 3 months to 18 years (mean age 4.4 years). Conclusion: In congenital heart diseases, attention to the coronary arteries on thoracic CT angiography examination in the presence of possible coronary anomalies may provide useful information. Full article
(This article belongs to the Special Issue Advances in Cardiovascular Diseases: Diagnosis and Management)
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