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Current Practice in Cardiac Imaging
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Current Practice in Cardiac Imaging

A special issue of Journal of Cardiovascular Development and Disease (ISSN 2308-3425). This special issue belongs to the section "Imaging".

Deadline for manuscript submissions: closed (1 March 2024) | Viewed by 4602

Special Issue Editors

Dr. Eun-Ju Kang

E-Mail Website
Guest Editor
Department of Radiology, Dong-A University College of Medicine, Dong-A University Hospital, 1,3-ga Dongdaesindong, Seo-gu, Busan 602-715, Republic of Korea
Interests: CT technology; cardiovascular CT; cardiovascular MRI; coronary artery disease; aorta; lung
Prof. Dr. Yeon Hyeon Choe

E-Mail Website
Guest Editor
Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Ilwon-Ro, Gangnam-Gu, Seoul 135-710, Republic of Korea
Interests: cardiovascular CT; cardiovascular MRI; ischemic heart disease; congenital heart disease; cardiomyopathy

Special Issue Information

Dear Colleagues,

The Journal of Cardiovascular Development and Disease is launching a Special Issue to focuses on current cardiac imaging practice. In this Special Issue, we will highlight some of the recent developments in cardiac imaging, placing a particular focus on cardiac CT and MRI and their applications in daily practice. Cardiac imaging, in evolving quickly and continuously in a way that generates new technologies, benefit patients by providing images of higher resolution with shorter scan time and reduced radiation doses. New cardiac MR techniques may provide new insights into current imaging diagnosis techniques for use in assessments of cardiac diseases. It is always challenging to become familiar with current imaging technologies. In this Special Issue, entitled “Current Practice in Cardiac Imaging”, we welcome you to contribute a research paper or review article on any aspect of this topic, whether discussing novel imaging techniques or novel clinical applications of old techniques. This is an excellent opportunity for groups to contribute to the field of cardiac imaging.

Dr. Eun-Ju Kang
Prof. Dr. Yeon Hyeon Choe
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 Cardiovascular Development and Disease is an international peer-reviewed open access monthly 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 2700 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

  • heart
  • cardiac
  • computed tomography
  • magnetic resonance
  • technology
  • practical

Published Papers (3 papers)

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Research

13 pages, 2915 KiB  
Article
Aortic Valve Dysfunction and Aortopathy Based on the Presence of Raphe in Patients with Bicuspid Aortic Valve Disease
by Yu Zhang, Bo Hwa Choi, Hyun Keun Chee, Jun Seok Kim and Sung Min Ko
J. Cardiovasc. Dev. Dis. 2023, 10(9), 372; https://doi.org/10.3390/jcdd10090372 - 31 Aug 2023
Viewed by 1106
Abstract
(1) Background: To identify the association between the presence or absence of a raphe and aortic valve dysfunction, as well as the presence of aortopathy in patients with a bicuspid aortic valve (BAV); (2) Methods: This retrospective study enrolled 312 participants (mean (SD) [...] Read more.
(1) Background: To identify the association between the presence or absence of a raphe and aortic valve dysfunction, as well as the presence of aortopathy in patients with a bicuspid aortic valve (BAV); (2) Methods: This retrospective study enrolled 312 participants (mean (SD) age, 52.7 (14.3) years; 227 men (72.8%)) with BAV. The BAVs were divided into those with the presence (raphe+) or absence (raphe−) of a raphe. Valvular function was classified as normal, aortic regurgitation (AR), or aortic stenosis (AS) using TTE. The pattern of BAV aortopathy was determined by the presence of dilatation at the sinus of Valsalva and the middle ascending aorta using CCT; (3) Results: BAVs with raphe+ had a higher prevalence of AR (148 (79.5%) vs. 48 (37.8%), p < 0.001), but a lower prevalence of AS (90 (48.6%) vs. 99 (78.0%), p < 0.001) compared with those with raphe−. The types of BAV aortopathy were significantly different (p = 0.021) according to those with BAV–raphe+ and BAV–raphe−; (4) Conclusions: The presence of a raphe was significantly associated with a higher prevalence of AR, but a lower prevalence of AS and combined dilatation of the aortic root and middle ascending aorta. The presence of a raphe was an independent determinant of AR. Full article
(This article belongs to the Special Issue Current Practice in Cardiac Imaging)
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11 pages, 1667 KiB  
Article
Longitudinal Changes in the Myocardial T1 Relaxation Time, Extracellular Volume Fraction, and Left Ventricular Function in Asymptomatic Men
by Sang Hwa Shin, Sung Mok Kim, Soo-Jin Cho and Yeon Hyeon Choe
J. Cardiovasc. Dev. Dis. 2023, 10(6), 252; https://doi.org/10.3390/jcdd10060252 - 9 Jun 2023
Cited by 2 | Viewed by 1155
Abstract
(1) Background: Longitudinal changes in myocardial T1 relaxation time are unknown. We aimed to assess the longitudinal changes in the left ventricular (LV) myocardial T1 relaxation time and LV function. (2) Methods: Fifty asymptomatic men (mean age, 52.0 years) who underwent 1.5 T [...] Read more.
(1) Background: Longitudinal changes in myocardial T1 relaxation time are unknown. We aimed to assess the longitudinal changes in the left ventricular (LV) myocardial T1 relaxation time and LV function. (2) Methods: Fifty asymptomatic men (mean age, 52.0 years) who underwent 1.5 T cardiac magnetic resonance imaging twice at an interval of 54 ± 21 months were included in this study. The LV myocardial T1 times and extracellular volume fractions (ECVFs) were calculated using the MOLLI technique (before and 15 min after gadolinium contrast injection). The 10-year Atherosclerotic Cardiovascular Disease (ASCVD) risk score was calculated. (3) Results: No significant differences in the following parameters were noted between the initial and follow-up assessments: LV ejection fraction (65.0 ± 6.7% vs. 63.6 ± 6.3%, p = 0.12), LV mass/end-diastolic volume ratio (0.82 ± 0.12 vs. 0.80 ± 0.14, p = 0.16), native T1 relaxation time (982 ± 36 vs. 977 ± 37 ms, p = 0.46), and ECVF (24.97 ± 2.38% vs. 25.02 ± 2.41%, p = 0.89). The following parameters decreased significantly from the initial assessment to follow-up: stroke volume (87.2 ± 13.7 mL vs. 82.6 ± 15.3 mL, p = 0.01), cardiac output (5.79 ± 1.17 vs. 5.50 ± 1.04 L/min, p = 0.01), and LV mass index (110.16 ± 22.38 vs. 104.32 ± 18.26 g/m2, p = 0.01). The 10-year ASCVD risk score also remained unchanged between the two timepoints (4.71 ± 0.19% vs. 5.16 ± 0.24%, p = 0.14). (4) Conclusion: Myocardial T1 values and ECVFs were stable over time in the same middle-aged men. Full article
(This article belongs to the Special Issue Current Practice in Cardiac Imaging)
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12 pages, 2484 KiB  
Article
Deep Learning-Based Automated Quantification of Coronary Artery Calcification for Contrast-Enhanced Coronary Computed Tomographic Angiography
by Jung Oh Lee, Eun-Ah Park, Daebeom Park and Whal Lee
J. Cardiovasc. Dev. Dis. 2023, 10(4), 143; https://doi.org/10.3390/jcdd10040143 - 28 Mar 2023
Cited by 4 | Viewed by 1870
Abstract
Background: We evaluated the accuracy of a deep learning-based automated quantification algorithm for coronary artery calcium (CAC) based on enhanced ECG-gated coronary CT angiography (CCTA) with dedicated coronary calcium scoring CT (CSCT) as the reference. Methods: This retrospective study included 315 patients who [...] Read more.
Background: We evaluated the accuracy of a deep learning-based automated quantification algorithm for coronary artery calcium (CAC) based on enhanced ECG-gated coronary CT angiography (CCTA) with dedicated coronary calcium scoring CT (CSCT) as the reference. Methods: This retrospective study included 315 patients who underwent CSCT and CCTA on the same day, with 200 in the internal and 115 in the external validation sets. The calcium volume and Agatston scores were calculated using both the automated algorithm in CCTA and the conventional method in CSCT. The time required for computing calcium scores using the automated algorithm was also evaluated. Results: Our automated algorithm extracted CACs in less than five minutes on average with a failure rate of 1.3%. The volume and Agatston scores by the model showed high agreement with those from CSCT with concordance correlation coefficients of 0.90–0.97 for the internal and 0.76–0.94 for the external. The accuracy for classification was 92% with a 0.94 weighted kappa for the internal and 86% with a 0.91 weighted kappa for the external set. Conclusions: The deep learning-based and fully automated algorithm efficiently extracted CACs from CCTA and reliably assigned categorical classification for Agatston scores without additional radiation exposure. Full article
(This article belongs to the Special Issue Current Practice in Cardiac Imaging)
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