Scan-Rescan reproducibility of carotid bifurcation geometry from routine contrast-enhanced MR angiography

Journal of Magnetic Resonance Imaging

Volumn 33, Issue 2, 2011, Pages 482-489

  Bijari, Payam B ^a   Antiga, Luca ^b   Wasserman, Bruce A ^c   Steinman, David A ^a  

^a UNIVERSITY OF TORONTO   (Canada)

^b MARIO NEGRI INST PHARMACOL RES   (Italy)

^c JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

atherosclerosis; carotid bifurcation; geometric risk factors; magnetic resonance angiography; reproducibility

Indexed keywords

ARTICLE; CAROTID ARTERY BIFURCATION; CORRELATION COEFFICIENT; DIAGNOSTIC TEST ACCURACY STUDY; FEASIBILITY STUDY; GEOMETRY; HUMAN; IMAGE QUALITY; MAGNETIC RESONANCE ANGIOGRAPHY; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; RELIABILITY; REPRODUCIBILITY; THREE DIMENSIONAL CONTRAST ENHANCED MAGNETIC RESONANCE ANGIOGRAPHY;

CAROTID ARTERIES; CAROTID ARTERY DISEASES; CONTRAST MEDIA; FEASIBILITY STUDIES; GADOLINIUM DTPA; HUMANS; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE ANGIOGRAPHY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 79551572108     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.22440     Document Type: Article

References (26)

1. DeBakey ME, Lawrie GM, Glaeser DH,. Patterns of atherosclerosis and their surgical significance. Ann Surg 1985; 201: 115-131.
2. Slager CJ, Wentzel JJ, Gijsen FJ, et al. The role of shear stress in the generation of rupture-prone vulnerable plaques. Nat Clin Pract 2005; 2: 401-407.
3. Polak J, Person S, Wei G, et al. Segment-specific associations of carotid intima-media thickness with cardiovascular risk factors: the Coronary Artery Risk Development in Young Adults (CARDIA) study. Stroke 2010; 41: 9-15.
4. Slager CJ, Wentzel JJ, Gijsen FJ, et al. The role of shear stress in the destabilization of vulnerable plaques and related therapeutic implications. Nat Clin Pract 2005; 2: 456-464.
5. Markl M, Wegent F, Zech T, et al. In-vivo wall shear stress distribution in the carotid artery: effect of bifurcation geometry, internal carotid artery stenosis and recanalization therapy. Circ Cardiovasc Imaging 2010 [Epub ahead of print].
6. Taylor CA, Steinman DA,. Image-based modeling of blood flow and vessel wall dynamics: applications, methods and future directions: Sixth International Bio-Fluid Mechanics Symposium and Workshop, March 28-30, 2008 Pasadena, California. Ann Biomed Eng 2010; 38: 1188-1203.
7. Friedman MH, Deters OJ, Mark FF, Bargeron CB, Hutchins GM,. Arterial geometry affects hemodynamics. A potential risk factor for atherosclerosis. Atherosclerosis 1983; 46: 225-231.
8. Lee SW, Antiga L, Spence JD, Steinman DA,. Geometry of the carotid bifurcation predicts its exposure to disturbed flow. Stroke 2008; 39: 2341-2347.
9. Wasserman BA, Astor BC, Sharrett AR, Swingen C, Catellier D,. MRI measurements of carotid plaque in the atherosclerosis risk in communities (ARIC) study: methods, reliability and descriptive statistics. J Magn Reson Imaging 2010; 31: 406-415.
10. Antiga L, Piccinelli M, Botti L, Ene-Iordache B, Remuzzi A, Steinman DA,. An image-based modeling framework for patient-specific computational hemodynamics. Med Biol Eng Comput 2008; 46: 1097-1112.
11. Bijari PB, Antiga L, Steinman DA,. Reliability of vascular geometry factors derived from clinical MRA. Proc SPIE Medical Imaging, vol. 7261, San Diego; 2009.
12. Lorensen WE, Cline HE,. Marching cubes: a high resolution 3D surface construction algorithm. ACM SIGGRAPH Computer Graphics 1987; 21: 163-169.
13. Thomas JB, Antiga L, Che SL, et al. Variation in the carotid bifurcation geometry of young versus older adults: implications for geometric risk of atherosclerosis. Stroke 2005; 36: 2450-2456.
14. Antiga L, Ene-Iordache B, Remuzzi A,. Computational geometry for patient-specific reconstruction and meshing of blood vessels from MR and CT angiography. IEEE Trans Med Imaging 2003; 22: 674-684.
15. Antiga L, Steinman DA,. Robust and objective decomposition and mapping of bifurcating vessels. IEEE Trans Med Imaging 2004; 23: 704-713.
16. Weir JP,. Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. J Strength Cond Res 2005; 19: 231-240.
17. Szklo M, Nieto FJ,. Epidemiology: beyond the basics. Sudbury, MA: Jones and Bartlett; 2004.
18. Bland JM, Altman DG,. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986; 1: 307-310.
19. Besl PJ, Mckay ND,. A method for registration of 3-D shapes. IEEE Trans Pattern Anal Machine Intell 1992; 14: 239-256.
20. Varghese A, Crowe L, Mohiaddin R, et al. Interstudy reproducibility of three-dimensional volume-selective fast spin echo magnetic resonance for quantifying carotid artery wall volume. J Magn Reson Imaging 2005; 21: 187-191.
21. Saam T, Hatsukami TS, Yarnykh VL, et al. Reader and platform reproducibility for quantitative assessment of carotid atherosclerotic plaque using 1.5T Siemens, Philips, and General Electric scanners. J Magn Reson Imaging 2007; 26: 344-352.
22. Gao H, Long Q, Graves M, Gillard JH, Li ZY,. Study of reproducibility of human arterial plaque reconstruction and its effects on stress analysis based on multispectral in vivo magnetic resonance imaging. J Magn Reson Imaging 2009; 30: 85-93.
23. Sun H, Kuban BD, Schmalbrock P, Friedman MH,. Measurement of the geometric parameters of the aortic bifurcation from magnetic resonance images. Ann Biomed Eng 1994; 22: 229-239.
24. Thomas JB, Milner JS, Rutt BK, Steinman DA,. Reproducibility of image-based computational fluid dynamics models of the human carotid bifurcation. Ann Biomed Eng 2003; 31: 132-141.
25. Long Q, Ariff B, Zhao SZ, Thom SA, Hughes AD, Xu XY,. Reproducibility study of 3D geometrical reconstruction of the human carotid bifurcation from magnetic resonance images. Magn Reson Med 2003; 49: 665-674.
26. Hoogeveen RM, Bakker CJ, Viergever MA,. Limits to the accuracy of vessel diameter measurement in MR angiography. J Magn Reson Imaging 1998; 8: 1228-1235.