Characterization of Atherosclerotic Plaque in Coronary CT Angiography and Some Related Factors in Patients with Coronary Artery Disease Referred to Farshchian Heart Hospital in Hamadan in 2023

Characterization of Atherosclerotic Plaque in Coronary CT Angiography

Authors

  • Zahra Hamian Hamadan University of Medical Sciences, Hamadan, Iran
  • Seyed Kamal Hadei Hamadan University of Medical Sciences, Hamadan, Iran
  • Zahra Khanlarzadeh Hamadan University of Medical Sciences, Hamadan, Iran
  • Farnaz Fariba Hamadan University of Medical Sciences, Hamadan, Iran

DOI:

https://doi.org/10.31661/gmj.vi.3702

Keywords:

Coronary Vessels; Atherosclerotic Plaque; Coronary Angiography

Abstract

Background: Vascular classification in coronary artery disease is influenced by atherosclerotic plaque characteristics. This study aimed to investigate the characterization of atherosclerotic plaque and some related factors in coronary CT angiography in patients with coronary artery disease referred to Farshchian Heart Hospital in Hamadan in 2023
Materials and Methods: In this analytical cross-sectional study that was conducted in 2023 in Hamadan, Iran, 140 individuals suspected of coronary artery stenosis based on atherosclerotic plaque characteristics in coronary angiography were examined. The study analyzed the relationship between plaque features, demographic characteristics, degree of coronary artery stenosis, and other risk factors for coronary artery disease with chi-square, logistic regression, correlation coefficient using SPSS version 20.
Results: The mean age of patients was 53.11±7.62 years, with 59% male and 40% female. Among patients, 40% had coronary artery stenosis, with 18% having severe stenosis. The prevalence of positive remodeling was 32%, Low Attenuation was 45%, Napkin-ring Sign was 14%, and Spotty Calcium was 25%. Significant associations were found between various plaque patterns and age (P<0.05), Low Attenuation pattern with hypertension (P<0.001), diabetes (P=0.03), dyslipidemia (P=0.04), Napkin-ring Sign with diabetes (P=0.03). Conclusion: The study highlights the high prevalence of distinct plaque patterns and their associations with severity of coronary artery stenosis, presence of diabetes, hypertension, and dyslipidemia. These findings emphasize the need for tailored risk assessment and management strategies in patients with coronary artery disease.

References

Libby P, Buring JE, Badimon L, Hansson GK, Deanfield J, Bittencourt MS et al. Atherosclerosis. Nature Reviews Disease Primers. 2019;5(1):56.

https://doi.org/10.1038/s41572-019-0106-z

PMid:31420554

Jamee Shahwan A, Abed Y, Desormais I, Magne J, Preux PM, Aboyans V et al. Epidemiology of coronary artery disease and stroke and associated risk factors in Gaza community -Palestine. PLOS ONE. 2019;14(1):e0211131.

https://doi.org/10.1371/journal.pone.0211131

PMid:30682090 PMCid:PMC6347168

Mendis S, Puska P, Norrving Be, Organization WH. Global atlas on cardiovascular. disease prevention and control: World Health Organization; 2011.

Benjamin EJ, Blaha MJ, Chiuve SE, Cushman M, Das SR, Deo R et al. Heart Disease and Stroke Statistics-2017 Update: A Report From the American Heart Association. Circulation. 2017;135(10):e146-e603.

https://doi.org/10.1161/CIR.0000000000000491

Hajar R. Risk Factors for Coronary Artery Disease: Historical Perspectives. Heart Views. 2017;18(3):109-14.

https://doi.org/10.4103/HEARTVIEWS.HEARTVIEWS_106_17

PMid:29184622 PMCid:PMC5686931

Maurovich-Horvat P, Ferencik M, Voros S, Merkely B, Hoffmann U. Comprehensive plaque assessment by coronary CT angiography. Nature Reviews Cardiology. 2014;11(7):390-402.

https://doi.org/10.1038/nrcardio.2014.60

PMid:24755916

Achenbach S, Raggi P. Imaging of coronary atherosclerosis by computed tomography. European Heart Journal. 2010;31(12):1442-8.

https://doi.org/10.1093/eurheartj/ehq150

PMid:20484566

Klass O, Kleinhans S, Walker MJ, Olszewski M, Feuerlein S, Juchems M et al. Coronary plaque imaging with 256-slice multidetector computed tomography: interobserver variability of volumetric lesion parameters with semiautomatic plaque analysis software. The International Journal of Cardiovascular Imaging. 2010;26(6):711-20.

https://doi.org/10.1007/s10554-010-9614-3

PMid:20339922

Voros S, Rinehart S, Qian Z, Joshi P, Vazquez G, Fischer C et al. Coronary atherosclerosis imaging by coronary CT angiography: current status, correlation with intravascular interrogation and meta-analysis. JACC Cardiovasc Imaging. 2011;4(5):537-48.

https://doi.org/10.1016/j.jcmg.2011.03.006

PMid:21565743

Nakazato R, Otake H, Konishi A, Iwasaki M, Koo B-K, Fukuya H et al. Atherosclerotic plaque characterization by CT angiography for identification of high-risk coronary artery lesions: a comparison to optical coherence tomography. European Heart Journal - Cardiovascular Imaging. 2014;16(4):373-9.

https://doi.org/10.1093/ehjci/jeu188

PMid:25246503

Bittner DO, Mayrhofer T, Puchner SB, Lu MT, Maurovich-Horvat P, Ghemigian K et al. Coronary Computed Tomography Angiography-Specific Definitions of High-Risk Plaque Features Improve Detection of Acute Coronary Syndrome. Circulation: Cardiovascular Imaging. 2018;11(8):e007657.

https://doi.org/10.1161/CIRCIMAGING.118.007657

PMid:30354493 PMCid:PMC6205220

Kataoka Y, Wolski K, Uno K, Puri R, Tuzcu EM, Nissen SE et al. Spotty Calcification as a Marker of Accelerated Progression of Coronary Atherosclerosis. Journal of the American College of Cardiology. 2012;59(18):1592-7.

https://doi.org/10.1016/j.jacc.2012.03.012

PMid:22538329

Finck T, Stojanovic A, Will A, Hendrich E, Martinoff S, Hausleiter J, et al. Long-term prognostic value of morphological plaque features on coronary computed tomography angiography. European Heart Journal-Cardiovascular Imaging. 2020;21(3):237-48.

https://doi.org/10.1093/ehjci/jez238

PMid:31578556

Jadidi M, Poulson W, Aylward P, MacTaggart J, Sanderfer C, Marmie B et al. Calcification prevalence in different vascular zones and its association with demographics, risk factors, and morphometry. American Journal of Physiology-Heart and Circulatory Physiology. 2021;320(6):H2313-H23.

https://doi.org/10.1152/ajpheart.00040.2021

PMid:33961507 PMCid:PMC8289361

Khalagi K, Mansournia MA, Motevalian S-A, Nourijelyani K, Rahimi-Movaghar A, Bakhtiyari M. An ad hoc method for dual adjusting for measurement errors and nonresponse bias for estimating prevalence in survey data: Application to Iranian mental health survey on any illicit drug use. Statistical Methods in Medical Research. 2018;27(10):3062-76.

https://doi.org/10.1177/0962280217690939

PMid:29298600

Stovitz SD, Banack HR, Kaufman JS. Selection bias can creep into unselected cohorts and produce counterintuitive findings. International Journal of Obesity. 2021;45(1):276-7.

https://doi.org/10.1038/s41366-020-00720-2

PMid:33235356

Pakzad R, Nedjat S, Salehiniya H, Mansournia N, Etminan M, Nazemipour M et al. Effect of alcohol consumption on breast cancer: probabilistic bias analysis for adjustment of exposure misclassification bias and confounders. BMC Medical Research Methodology. 2023;23(1):157.

https://doi.org/10.1186/s12874-023-01978-6

PMid:37403100 PMCid:PMC10318777

Moradzadeh R, Mansournia MA, Ghiasvand R, Baghfalaki T, Nadrian H, Holakouie-Naieni K. Impact of Age at Menarche on Breast Cancer: The Assessment of Recall Bias. Arch Iran Med. 2019;22(2):65-70.

Moradzadeh R, Mansournia MA, Baghfalaki T, Nadrian H, Gustafson P, McCandless LC. The impact of maternal smoking during pregnancy on childhood asthma: adjusted for exposure misclassification; results from the National Health and Nutrition Examination Survey, 2011-2012. Annals of Epidemiology. 2018;28(10):697-703.

https://doi.org/10.1016/j.annepidem.2018.07.011

PMid:30150159

Nazari J, Chezani-Sharahi N, Eshrati B, Yadegari A, Naghshbandi M, Movahedi H et al. Prevalence and determinants of self-medication consumption of antibiotics in children in Iran: A population-based cross-sectional study, 2018-19. PLOS ONE. 2022;17(12):e0278843.

https://doi.org/10.1371/journal.pone.0278843

PMid:36584040 PMCid:PMC9803171

Downloads

Published

2025-05-25

How to Cite

Hamian, Z., Hadei, S. K., Khanlarzadeh, Z., & Fariba, F. (2025). Characterization of Atherosclerotic Plaque in Coronary CT Angiography and Some Related Factors in Patients with Coronary Artery Disease Referred to Farshchian Heart Hospital in Hamadan in 2023: Characterization of Atherosclerotic Plaque in Coronary CT Angiography. Galen Medical Journal, e3702. https://doi.org/10.31661/gmj.vi.3702

Issue

Section

Original Article