Journals / Zeynep Kamil medical journal (Online) / 2022 / Cilt: 53 - Sayı: 2

Coronary computed tomography angiography findings in young adults

Pages
93–98
Publication Date
2022-10-12
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Thus, cardiovascular anomalies that may cause serious and acute events in the future, including sudden death can be detected in advance, allowing early interventions to be undertaken.

📌 3 Key Takeaways

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Objective & Hypothesis:Objective: Various clinically significant cardiovascular anomalies of coronary arteries that are not associated with atherosclerosis have been previously described.
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Key Findings & Data:This study aimed to evaluate coronary anomalies or variations on coronary computed tomography angiography (CCTA) images in patients aged under 40 years and to compare them with clinical findings, thereby contributing to the literature.
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Conclusion & Impact:Thus, cardiovascular anomalies that may cause serious and acute events in the future, including sudden death can be detected in advance, allowing early interventions to be undertaken.
🔬Design:Research Article
📍Scope:2015 Verileri
⚙️Variables:Domain Parameters

Abstract

Objective: Various clinically significant cardiovascular anomalies of coronary arteries that are not associated with atherosclerosis have been previously described. This study aimed to evaluate coronary anomalies or variations on coronary computed tomography angiography (CCTA) images in patients aged under 40 years and to compare them with clinical findings, thereby contributing to the literature. Material and Methods: Patients under 40 years who underwent CCTA with current clinical indications between 2015 and 2018 were included in the study. The scans were performed using a 128-slice CT device and electrocardiography triggering in different phases. During the examination, 35%–75% of phases were frequently evaluated although the percentage varied according to the heart rate. Outlet, course, internal structure and termination anabolites, and pathologies, as well as anatomical dominance of coronary arteries, were evaluated. However, unlike this classification, myocardial bridges (MBs) were specified as variations. Coronary artery disease reporting and data system (CAD-RADS) was used to standardize stenosis rates in the walls of coronary arteries and their lumen. Results: Of the 927 CCTAs taken over a 3-year period, 188 belonged to patients under 40 years. The study included 156 men and 32 women with a mean age of 34.99±4.78 years. In the comparison between the patients with and without chest pain in terms of the presence of CAD-RADS 1 and above, a statistically significant higher rate of CAD was found in the group with chest pain (p<0.05). Abnormal cardiac findings and variations were detected in 103 patients (55%), including 16 with multiple abnormalities. Of these 103 patients, 49 (26%) had MBs. Conclusion: Considering the presence of anomalies and variations in young adults with cardiac complaints, the reasons for the ambiguous symptoms may become clear with the use of noninvasive methods, such as CCTA. Thus, cardiovascular anomalies that may cause serious and acute events in the future, including sudden death can be detected in advance, allowing early interventions to be undertaken.

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Cite This Article

KESİMAL, U., ELDES, T. (2022). Coronary computed tomography angiography findings in young adults. Zeynep Kamil medical journal (Online), Cilt: 53 - Sayı: 2, 93–98. https://ajindex.com/articles/426120

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References (10)

  1. World Health Organization. Global Health Observatory (GHO) data. Top 10 causes of death [Internet]. Cited September 2020. Available at: https://www.who.int/gho/mortality_burden_disease/causes_death/ top_10/en/. Accessed Apr 22, 2022
  2. Tsai RJ, Lai HY, Ni CF, Tsao SM, Lan GY, Hsieh KL. Young adult cardiovascular diseases: A single center coronary computed tomography angiography study. Clin Imaging 2018;52:343-9
  3. Fihn SD, Gardin JM, Abrams J, Berra K, Blankenship JC, Dallas AP, et al. 2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS guideline for the diagnosis and management of patients with stable ischemic heart disease: A report of the American College of Cardiology Foundation/American Heart Association task force on practice guidelines, and the American College of Physicians, American Association for Thoracic Surgery, Preventive Cardiovascular Nurses Association, Society for Cardiovascular Angiography and Interventions, and Society of Thoracic Surgeons. Circulation 2012;126:e354-471
  4. Sun Z, Lin C, Davidson R, Dong C, Liao Y. Diagnostic value of 64-slice CT angiography in coronary artery disease: A systematic review. Eur J Radiol 2008;67:78-84
  5. Miller JM, Rochitte CE, Dewey M, Arbab-Zadeh A, Niinuma H, Gottlieb I, et al. Diagnostic performance of coronary angiography by 64-row CT. N Engl J Med 2008;359:2324-36
  6. Knickelbine T, Lesser JR, Haas TS, Brandenburg ER, Gleason-Han BK, Flygenring B, et al. Identification of unexpected nonatherosclerotic cardiovascular disease with coronary CT angiography. JACC Cardiovasc Imaging 2009;2:1085-92
  7. Villa AD, Sammut E, Nair A, Rajani R, Bonamini R, Chiribiri A. Coronary artery anomalies overview: The normal and the abnormal. World J Radiol 2016;8:537-55
  8. Angelini P. Coronary artery anomalies: An entity in search of an identity. Circulation 2007;115:1296-305
  9. Cury RC, Abbara S, Achenbach S, Agatston A, Berman DS, Budoff MJ, et al. CAD-RADS(TM) coronary artery disease - reporting and data system. An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Radiology (ACR) and the North American Society for Cardiovascular Imaging (NASCI). Endorsed by the American College of Cardiology. J Cardiovasc Comput Tomogr 2016;10:269-81
  10. Zhang LR, Xu DS, Liu XC, Wu XS, Ying YN, Dong Z, et al. Coronary artery lumen diameter and bifurcation angle derived from CT coronary angiographic image in healthy people. Zhonghua Xin Xue Guan Bing Za Zhi 2011;39:1117-23