Comparison of Predictive Ability of Computed Tomography and Magnetic Resonance Imaging in Patients with Carotid Atherosclerosis Complicated with Stroke

  • Jiangfeng ZHOU Department of Imaging, Linyi Central Hospital, Linyi 276400, P.R. China
  • Hongling CHEN Department of Endocrinology, Linyi Central Hospital, Linyi 276400, P.R. China
  • Tao YANG Department of Imaging, Linyi Central Hospital, Linyi 276400, P.R. China
  • Cuihong XING Department of Medical Ward, The People’s Hospital of Zhangqiu Area, Jinan 250200, P.R. China
  • Fengxia JIA Department of Neurosurgery, Juxian People’s Hospital, Rizhao 276599, P.R. China
Keywords: stroke, Computed Tomography, China, Carotid atherosclerosis

Abstract

Background: To investigate the characterizations of CT (computed tomography) and MRI (magnetic resonance imaging) in patients with carotid atherosclerosis. Methods: A retrospective analysis was performed on the medical records of 264 patients with carotid atherosclerosis underwent CT and MRI in Linyi Central Hospital, Linyi, China from January 2010 to January 2016. Among them, 142 patients with ischemic stroke were in experimental group (test group), another 122 patients in control group. The lumen stenosis degree, plaque fibrous cap status, calcification information and vascular plaque hemorrhage in the carotid artery fork of patients detected by CT and MRI were collected. Results: The detection rate of the plaque calcification of patients detected by MRI was lower than that detected by CT in the experimental group (P<0.05). Patients in the experimental group had higher average vascular stenosis degree detected by CT and MRI than those in the control group (P<0.01). The average vascular stenosis degree of patients detected by MRI was higher than that detected by CT in the experimental group (P<0.05). Patients in the experimental group had higher unstable fibrous cap number detected by CT and MRI than those in the control group (P<0.01). Patients in the experimental group had significantly higher number of vascular plaque small focus hemorrhage than those in the control group (P<0.05). Conclusion: Patients with carotid atherosclerotic complicated with stroke have higher plaque calcification number, vascular stenosis degree and unstable fibrous cap number. Both CT and MRI can better predict the risk of stroke.    

References

1. Finn C, Giambrone AE, Gialdini G et al (2017). The Association between Carotid Artery Atherosclerosis and Silent Brain Infarction: A Systematic Review and Me-ta-analysis. J Stroke Cerebrovasc Dis, 26(7): 1594-601.
2. Gupta A, Giambrone AE, Gialdini G et al (2016). Silent Brain Infarction and Risk of Future Stroke: A Systematic Review and Meta-Analysis. Stroke, 47(3): 719-25.
3. Baradaran H, Gialdini G, Mtui E, Askin G, Kamel H, Gupta A (2016). Silent Brain Infarction in Patients With Asymptomatic Carotid Artery Atherosclerotic Disease. Stroke, 47(5): 1368-70.
4. Touze E, Toussaint JF, Coste J et al (2007). Reproducibility of high-resolution MRI for the identification and the quantifica-tion of carotid atherosclerotic plaque components: consequences for progno-sis studies and therapeutic trials. Stroke, 38(6): 1812-9.
5. Kazmierski R, Kozubski W, Watala C (2000). (Intima-media complex thickness of common carotid artery as a risk factor for stroke). Neurol Neurochir Pol, 34(2): 243-53 [Article in Polish].
6. Lind L, Andersson J, Hansen T, Johansson L, Ahlstrom H (2009). Atherosclerosis measured by whole body magnetic resonance angiography and carotid artery ultrasound is related to arterial compliance, but not to endothelium-dependent vasodilation - the Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS) study. Clin Physiol Funct Imaging, 29(5): 321-9.
7. Li X, Heber D, Rausch I et al (2016). Erra-tum to: Quantitative assessment of ather-osclerotic plaques on (18)F-FDG PET/MRI: comparison with a PET/CT hybrid system. Eur J Nucl Med Mol Imaging, 43(8): 1569.
8. Turan TN, Rumboldt Z, Granholm AC et al (2014). Intracranial atherosclerosis: corre-lation between in-vivo 3T high resolution MRI and pathology. Atherosclerosis, 237(2): 460-3.
9. Jiang Y, Zhu C, Peng W et al (2016). Ex-vivo imaging and plaque type classifica-tion of intracranial atherosclerotic plaque using high resolution MRI. Atherosclerosis, 249: 10-6.
10. Ouhlous M, Flach HZ, de Weert TT et al (2005). Carotid plaque composition and cerebral infarction: MR imaging study. AJNR Am J Neuroradiol, 26(5): 1044-9.
11. Xia Z, Yang H, Yuan X et al (2017). High-resolution magnetic resonance imaging of carotid atherosclerotic plaques - a correla-tion study with histopathology. Vasa, 46(4): 283-90.
12. Handa N, Matsumoto M, Maeda H et al (1992). (An ultrasonic study of the rela-tionship between extracranial carotid ath-erosclerosis and ischemic cerebrovascular disease in Japanese). Nihon Ronen Igakkai Zasshi, 29(10): 742-7.
13. Kim YD, Cha MJ, Kim J et al (2011). In-creases in cerebral atherosclerosis accord-ing to CHADS2 scores in patients with stroke with nonvalvular atrial fibrillation. Stroke, 42(4): 930-4.
14. Eker OF, Panni P, Dargazanli C et al (2017). Anterior Circulation Acute Ischemic Stroke Associated with Atherosclerotic Lesions of the Cervical ICA: A Noso-logic Entity Apart. AJNR Am J Neuroradi-ol, 38(11): 2138-45.
15. Pelisek J, Eckstein HH, Zernecke A (2012). Pathophysiological mechanisms of carot-id plaque vulnerability: impact on ischem-ic stroke. Arch Immunol Ther Exp (Warsz), 60(6): 431-42.
16. Jansen Klomp WW, Brandon Bravo Bru-insma GJ, van 't Hof AW, Grandjean JG, Nierich AP (2016). Imaging Techniques for Diagnosis of Thoracic Aortic Athero-sclerosis. Int J Vasc Med, 2016: 4726094.
17. Kerwin W, Hooker A, Spilker M et al (2003). Quantitative magnetic resonance imaging analysis of neovasculature volume in ca-rotid atherosclerotic plaque. Circulation, 107(6): 851-6.
18. Tang D, Yang C, Mondal S et al (2008). A negative correlation between human ca-rotid atherosclerotic plaque progression and plaque wall stress: in vivo MRI-based 2D/3D FSI models. J Biomech, 41(4): 727-36.
19. Gu H, Gao Y, Hou Z et al (2018). Prognos-tic value of coronary atherosclerosis pro-gression evaluated by coronary CT angi-ography in patients with stable angina. Eur Radiol, 28(3): 1066-76.
20. Bai Z, Yang X, Han X, Dong P, Liu A (2013). Comparison between coronary plaque 64-slice spiral CT characteristics and risk factors of coronary artery dis-ease patients in Chinese Han population and Mongolian. Pak J Med Sci, 29(4): 933-7.
21. Czernuszewicz TJ, Homeister JW, Caughey MC et al (2015). Non-invasive in vivo characterization of human carotid plaques with acoustic radiation force impulse ul-trasound: comparison with histology af-ter endarterectomy. Ultrasound Med Biol, 41(3): 685-97.
22. Li GW, Zheng GY, Li JG, Sun XD (2010). Relationship between carotid atheroscle-rosis and cerebral infarction. Chin Med Sci J, 25(1): 32-7.
23. Kim JM, Park KY, Shin DW, Park MS, Kwon OS (2016). Relation of serum ho-mocysteine levels to cerebral artery calcifi-cation and atherosclerosis. Atherosclerosis, 254: 200-4.
24. Lell M, Wildberger JE, Heuschmid M et al (2002). (CT-angiography of the carotid artery: First results with a novel 16-slice-spiral-CT scanner). Rofo, 174(9): 1165-9.
25. Moody AR, Murphy RE, Morgan PS et al (2003). Characterization of complicated carotid plaque with magnetic resonance direct thrombus imaging in patients with cerebral ischemia. Circulation, 107(24): 3047-52.
Published
2019-06-02
How to Cite
1.
ZHOU J, CHEN H, YANG T, XING C, JIA F. Comparison of Predictive Ability of Computed Tomography and Magnetic Resonance Imaging in Patients with Carotid Atherosclerosis Complicated with Stroke. Iran J Public Health. 48(6):1052-1058.
Section
Original Article(s)