Assessment of Carotid Geometry by Using the Contrast-enhanced MR Angiography

Chung Min Lee; Chang Woo Ryu; Keun Woo Kim

doi:10.13104/jksmrm.2010.14.1.47

Journal List > J Korean Soc Magn Reson Med > v.14(1) > 1011796

Go to TopGo to Top Go to BottomGo to Bottom

TOOLS

Lee, Ryu, and Kim: Assessment of Carotid Geometry by Using the Contrast-enhanced MR Angiography

Original Article

Journal of the Korean Society of Magnetic Resonance in Medicine

Journal of the Korean Society of Magnetic Resonance in Medicine 2010; 14(1): 47-55.

Published online: 30 June 2010

DOI: https://doi.org/10.13104/jksmrm.2010.14.1.47

Assessment of Carotid Geometry by Using the Contrast-enhanced MR Angiography

Chung Min Lee, Chang Woo Ryu

, Keun Woo Kim

Department of Radiology, East-West Neo Medical Center, Kyung Hee University, Seoul, Korea.

Address reprint requests to: Chang Woo Ryu, M.D., Department of Radiology, East-West Neo Medical Center, Kyung Hee University, 149 Sangil-dong, Gangdong-gu, Seoul 134-727, Korea. Tel. 82-2-440-6933, Fax. 82-2-440-6932, md.cwryu@gmail.com

Received 24 May 2010 Revised 28 May 2010 Accepted 1 June 2010

(open-access):

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Purpose

To evaluate the geometry of carotid artery by assessing the images of contrast-enhanced MR angiography (CE-MRA) and interrelationships between the geometry of carotid artery and clinical factors.

Materials and Methods

216 consecutive patients who performed supraaortic CE-MRA with fast spoiled gradient-echo imaging were included. Their medical records were reviewed for variable information including risk factors predictive of generalized atherosclerotic disease (age, hypertension (HTN), diabetes mellitus, hyperlipidema, and smoking), sex, body weight, height, and body mass index (BMI). We reviewed the CE-MRA with carotid origin (3 types), carotid artery tortuosity, angle of internal carotid artery bifurcation, the type of aortic arch branching, and the presence of the coiling of carotid artery.

Results

Multinomial logistic regression analysis showed that significantly contributed clinical backgrounds for carotid origin were the age and the BMI. With an increase of age at 1, the probability that the type of carotid origin become from type 1 to type 2 was 0.9 times (p=0.004) in right carotid artery (RCA), 0.9 times (p=0.031) in left carotid artery (LCA), 0.9 times that are likely to be type3 from type 2 (p<0.001) in RCA and 0.9 times in LCA (p=0.009). Increase in BMI at 1 increased odds of becoming type 2 as 1.1 times (p=0.067) in RCA, 1.1 times (p=0.009) in LCA and increased chance of becoming type 3 as 1.2 times (p=0.001) in RCA, 1.2 times (p=0.003) in LCA. Mean value of right and left carotid tortuosity were 240.9±69.0° and 154.4±55.0°, respectively.

Conclusion

The BMI, age, sex and presence of HTN affects the geometry of carotid arteries, the site of origin and tortuosity of carotid artery specifically.

Keywords: Contrast enhanced MR angiography, Carotid geometry, BMI, Age

Figures and Tables

Fig. 1

Classification of the carotid origin

Type 1 carotid origin defined as the origin of innominate artery or left common carotid artery at upper 1/2 of the aortic arch; type 2 at their origin of lower 1/2 of the aortic arch; type 3 below the lower margin of the aortic arch

Fig. 2

Measurement of the carotid tortuosity

Method of carotid tortuosity (T) measurement: a+b+c = carotid tortuosity

Table 1

Mean Age and BMI with Standard Deviation According to the Carotid Origin Type

^#age (year); BMI, body mass index (kg/m2)

Table 2-1

Multinomial Logistic Regression of Right Carotid Origin with Age, Sex, BMI, DM and HTN

^#BMI, body mass index; DM, diabetes mellitus; HTN, hypertension

Carotid Origin Type 1 is the reference group.

^*means statistically significant with the p-value less than 0.05. Right carotid origin had positive correlation with the BMI and negative correlation with the age.

Table 2-2

Multinomial Logistic Regression of Right Carotid Origin with Age, Sex, BMI, DM and HTN

^#BMI, body mass index; DM, diabetes mellitus; HTN, hypertension

Carotid Origin Type 1 is the reference group.

^*means statistically significant with the p-value less than 0.05. Left carotid origin had positive correlation with the BMI and negative correlation with the age.

Table 3-1

Multivariate Regression of the Right Carotid Tortuosity

^#BMI, body mass index; DM, diabetes mellitus; HTN, hypertension; RCCAO, right common carotid origin, B: regression coefficient

^*means statistically significant with the p-value less than 0.05

Table 3-2

Multivariate Regression of the Left Carotid Tortuosity

^#BMI, body mass index; DM, diabetes mellitus; HTN, hypertension; LCCAO: left common carotid origin; B: regression coefficient

^*means statistically significant with the p-value less than 0.05

References

1. Faggioli G, Ferri M, Gargiulo M, et al. Measurement and impact of proximal and distal tortuosity in carotid stenting procedures. J Vasc Surg. 2007. 46(6):1119–1124.

2. Kastrup A, Schulz JB, Raygrotzki S, Groschel K, Ernemann U. Comparison of angioplasty and stenting with cerebral protection versus endarterectomy for treatment of internal carotid artery stenosis in elderly patients. J Vasc Surg. 2004. 40(5):945–951.

3. Hobson RW, 2nd . Carotid artery stenting in octogenarians: the jury is still out. J Endovasc Ther. 2006. 13(3):310–311.

4. Lam RC, Lin SC, DeRubertis B, Hynecek R, Kent KC, Faries PL. The impact of increasing age on anatomic factors affecting carotid angioplasty and stenting. J Vasc Surg. 2007. 45(5):875–880.

5. Friedman MH, Deters OJ, Mark FF, Bargeron CB, Hutchins GM. Arterial geometry affects hemodynamics. A potential risk factor for athersoclerosis. Atherosclerosis. 1983. 46(2):225–231.

6. Corso L, Moruzzo D, Conte B, et al. Tortuosity, Kinking, and coiling of the carotid artery: expression of atherosclerosis or aging? Angiology. 1998. 49(5):361–371.

7. Madhwal S, Rajagopal V, Bhatt DL, Bajzer CT, Whitlow P, Kapadia SR. Predictors of difficult carotid stenting as determined by aortic arch angiography. J Invasive Cardiol. 2008. 20(5):200–204.

8. Lin SC, Trocciola SM, et al. Analysis of anatomic factors and age in patients undergoing carotid angioplasty and stenting. Ann Vasc Surg. 2005. 19(6):798–804.

9. Togay-Işikay C, Kim J, Betterman K, et al. Carotid artery tortousity, kinking, coiling: stroke risk factor, marker, or curiosity? Acta Neurol Belg. 2005. 105(2):68–72.

10. Pancera P, Ribul M, Presciuttini B, Lechi A. Prevalence of carotid artery kinking in 590 consecutive subjects evaluated by echocolordoppler. Is there a correlation with arterial hypertension? J Intern Med. 2000. 248(1):7–12.

11. Pancera P, Ribul M, De Marchi S, Arosio E, Lechi A. Prevalence of morphological alterations in cervical vessels: a colour duplex ultrasonographic study in a series of 3300 subjects. Int Angiol. 1998. 17(1):22–27.

12. Nederkoorn PJ, Elgersma OE, van der Graaf Y, Eikelboom BC, Kappelle LJ, Mali WP. Carotid artery stenosis: accuracy of contrast-enhanced MR angiography for diagnosis. Radiology. 2003. 228(3):677–682.

13. Randoux B, Marro B, Koskas F, Chiras J, Dormont D, Marsault C. Proximal great vessels of aortic arch: comparison of three-dimensional gadolinium-enhanced MR angiography and digital subtraction angiography. Radiology. 2003. 229(3):697–702.

14. Ho VB, Foo TK. Optimization of gadolinium-enhanced magnetic resonance angiography using an automated bolus-detection algorithm (MR SmartPrep). Original investigation. Invest Radiol. 1998. 33(9):515–523.

15. Faggioli GL, Ferri M, Freyrie A, et al. Aortic arch anomalies are associated with increased risk of neurological events in carotid stent procedures. Eur J Vasc Endovasc Surg. 2007. 33:436–441.

16. North American Symptomatic Carotid Endarterectomy Trial Collaborators. Beneficial effect of carotid endarterectomy in symptomatic patients with high-grade carotid stenosis. N Engl J Med. 1991. 325(7):445–453.

17. Wutke R, Fellner C, Fellner F, et al. 3D TOF turbo MRA of the carotid arteries: a fast alternative for imaging of atherosclerotic carotid disease. Eur Radiol. 2000. 10:126.

18. Fellner FA, Fellner C, Wutke R, et al. Fluoroscopically triggered contrast-enhanced 3D MR X-ray angiography and 3D time-of-flight turbo MRA of the carotid arteries: first clinical experiences in correlation with ultrasound, X-ray angiography, and endarterectomy findings. Magn Reson Imaging. 2000. 18(5):575–585.

19. Back MR, Rogers GA, Wilson JS, Johnson BL, Shames ML, Bandyk DF. Magnetic resonance angiography minimizes need for arteriography after inadequate carotid duplex ultrasound scanning. J Vasc Surg. 2003. 38(3):422–430.

20. Weibel J, Fields WS. Tortuosity, coiling, and kinking of the ICA. Etiology and radiographic anatomy. Neurology. 1965. 15:7–11.

21. Mochida M, Sakamoto H, Sawada Y, et al. Visceral fat obesity contributes to the tortuosity of the thoracic aorta on chest radiograph in poststroke Japanese patients. Angiology. 2006. 57(1):85–91.

22. Kornreich L, Hadar H, Sulkes J, et al. Effect of normal ageing on the sites of aortic bifurcation and inferior vena cava confluence: a CT study. Surg Radiol Anat. 1998. 20(1):63–68.

23. Leipzig TJ, Dohrmann GJ, et al. The tortous or kinked carotid artery: pathogenesis and clinical considerations. A historical review. Surg Neurol. 1986. 25(5):478–486.

24. Sugawara J, Hayashi K, Yokoi T, Tanaka H. Age-associated elongation of the ascending aorta in adults. JACC Cardiovasc Imaging. 2008. 1(6):739–748.

25. Wood NB, Zhao SZ, Zambanini A, et al. Curvature and tortuosity of the superficial femoral artery: a possible risk factor for peripheral arterial disease. J Appl Physiol. 2006. 101(5):1412–1418.

26. Hayashi K, Miyachi M, Seno N, et al. Variations in carotid arterial compliance during the menstrual cycle in young woman. Exp Physiol. 2006. 91(2):465–472.

TOOLS

ORCID iDs: Chang Woo Ryu
https://orcid.org/http://orcid.org/0000-0002-4674-7295
Similar articles