Morphological and Stress Vulnerability Indices for Human Coronary Plaques and Their Correlations with Cap Thickness and Lipid Percent: An IVUS-Based Fluid-Structure Interaction Multi-patient Study

PLoS Computational Biology

Volumn 11, Issue 12, 2015, Pages

  Wang, Liang ^a   Zheng, Jie ^b   Maehara, Akiko ^c   Yang, Chun ^a,d   Billiar, Kristen L ^e   Wu, Zheyang ^a   Bach, Richard ^f   Muccigrosso, David ^b   Mintz, Gary S ^c   Tang, Dalin ^a,g  

^a Life Science and Bioengineering Center   (United States)

^b WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c CARDIOVASCULAR RESEARCH FOUNDATION   (United States)

^d New Metallurgy Hi Tech Group Co   (China)

^e Worcester Polytechnic Institute   (United States)

^f WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^g SOUTHEAST UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

SHEAR FLOW; SHEAR STRESS;

CAP THICKNESS; CORONARY PLAQUES; FLUID-STRUCTURE INTERACTION; IN-VIVO; INTRAVASCULAR ULTRASOUND; LIPID INDICES; PLAQUE RUPTURE; STRESS INDICES; VULNERABILITY INDEX; WALL STRESS;

FLUID STRUCTURE INTERACTION;

ADULT; ARTICLE; BLOOD VESSEL PARAMETERS; CARDIOVASCULAR PARAMETERS; CLINICAL ARTICLE; CONTROLLED STUDY; CORONARY ARTERY ATHEROSCLEROSIS; CORRELATIONAL STUDY; CRITICAL PLAQUE FLOW SHEAR STRESS; CRITICAL PLAQUE WALL STRAIN; CRITICAL PLAQUE WALL STRESS; FEMALE; HUMAN; INTRAVASCULAR ULTRASOUND; LIPID ANALYSIS; LIPID INDEX; LIPID PERCENTAGE; MALE; MIDDLE AGED; MIN CAP THICKNESS; MORPHOLOGICAL INDEX; PLAQUE VULNERABILITY; QUANTITATIVE ANALYSIS; RISK FACTOR; STRESS INDEX;

EID: 84953248375     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1004652     Document Type: Article

References (37)

1. Richardson PD, Biomechanics of plaque rupture: progress, problems, and new frontiers. Ann Biomed Eng. 2002; 30(4):524–36. 12086003
2. Cardoso L, Weinbaum S, Changing views of the biomechanics of vulnerable plaque rupture: a review. Ann Biomed Eng. 2014; 42(2):415–31. doi: 10.1007/s10439-013-0855-x 23842694
3. Fleg JL, Stone GW, Fayad ZA, Granada JF, Hatsukami TS, Kolodgie FD, et al. Detection of high-risk atherosclerotic plaque: report of the NHLBI working group on current status and future directions. JACC Cardio Imaging. 2012; 5(9):941–955.
4. Fuster V, Fuster V, Cornhill JF, Dinsmore RE, Fallon JT, Insull W, Libby P, The Vulnerable Atherosclerotic Plaque: Understanding, Identification, and Modification, Editor: et al, AHA Monograph series, Futura Publishing, Armonk NY. 1998.
5. Ohayon J, Finet G, Gharib AM, Herzka DA, Tracqui P, et al. Necrotic core thickness and positive arterial remodeling index: emergent biomechanical factors for evaluating the risk of plaque rupture. Am J Physiol Heart Circ Physiol. 2008; 295(2):H717–27. doi: 10.1152/ajpheart.00005.2008 18586893
6. Friedman MH, Krams R, Chandran KB, . Flow interactions with cells and tissues: cardiovascular flows and fluid-structure interactions. Ann Biomed Eng. 2010;38(3):1178–1187. 20336826
7. Stary HC, Chandler AB, Glagov S, Guyton JR, Insull W, JrRosenfeld ME, et al. A definition of initial, fatty steak, and intermediate lesions of atherosclerosis: A report from the Committee on Vascular Lesions of the Council on Arteriosclerosis, American Heart Association. Arterioscler Thromb. 1994; 14(5): 840–856. 8172861
8. Wang L, Wu Z, Yang C, Zheng J, Bach R, Muccigrosso D, et al. IVUS-Based FSI Models for Human Coronary Plaque Progression Study: Components, Correlation and Predictive Analysis. Ann Biomed Eng. 2015; 43(1): 107–121. doi: 10.1007/s10439-014-1118-1 25245219
9. Ku DN, Giddens DP, Zarins CK, Glagov S, . Pulsatile flow and atherosclerosis in the human carotid bifurcation: positive correlation between plaque location and low and oscillating shear stress. Arteriosclerosis. 1985; 5:293–302. 3994585
10. Tang D, Yang C, Zheng J, Woodard PK, Saffitz JE, Petruccelli JD, et al. Local maximal stress hypothesis and computational plaque vulnerability index for atherosclerotic plaque assessment. Ann Biomed Eng. 2005;33(12): 1789–1801. 16389527
11. Akyildiz AC, Speelman L, van Brummelen H, Gutiérrez MA, Virmani R, van der Lugt A, et al. Effects of intima stiffness and plaque morphology on peak cap stress. Biomed Eng Online. 2011; 10:25. doi: 10.1186/1475-925X-10-25 21477277
12. Tang D, Teng Z, Canton G, Yang C, Ferguson M, Huang X, et al. Sites of rupture in human atherosclerotic carotid plaques are associated with high structural stresses: an in vivo MRI-based 3D fluid-structure interaction study. Stroke. 2009; 40(10):3258–3263. doi: 10.1161/STROKEAHA.109.558676 19628799
13. Underhill HR, Hatsukami TS, Fayad ZA, Fuster V, Yuan C, MRI of carotid atherosclerosis: clinical implications and future directions. Nat Rev Cardiol. 2010; 7(3), 165–173. doi: 10.1038/nrcardio.2009.246 20101259
14. Teng Z, Brown AJ, Calvert PA, Parker RA, Obaid DR, Huang Y, et al. Coronary plaque structural stress is associated with plaque composition and subtype and higher in acute coronary syndrome: the BEACON I (Biomechanical Evaluation of Atheromatous Coronary Arteries) study. Circ Cardiovasc Imaging. 2014; 7: 461–470 doi: 10.1161/CIRCIMAGING.113.001526 24557858
15. Li ZY, Tang T, U-King-Im J, Graves M, Sutcliffe M, Gillard JH, Assessment of carotid plaque vulnerability using structural and geometrical determinants. Circ J. 2008; 72: 1092–1099. 18577817
16. Hetterich H, Jaber A, Gehring M, Curta A, Bamberg F, Filipovic N, et al. Coronary Computed Tomography Angiography Based Assessment of Endothelial Shear Stress and Its Association with Atherosclerotic Plaque Distribution In-Vivo. PLoS One. 2015; 10(1):e0115408. eCollection. doi: 10.1371/journal.pone.0115408 25635397
17. Zhu C, Teng Z, Sadat U, Young VE, Graves MJ, Li ZY, et al.Normalized wall index specific and MRI-based stress analysis of atherosclerotic carotid plaques: a study comparing acutely symptomatic patients. Circ J. 2010;74(11):2360–4. Epub. 20834184
18. Huang X, Teng Z, Canton G, Ferguson M, Yuan C, Tang D, Intraplaque hemorrhage is associated with higher structural stresses in human atherosclerotic plaque: an in vivo MRI-based 3D fluid-structure interaction study. Biomed Eng Online. 2010; 9:86. doi: 10.1186/1475-925X-9-86 21194481
19. Vengrenyuk Y., Cardoso L., Weinbaum S., 2008. Micro-CT based analysis of a new paradigm for vulnerable plaque rupture: cellular microcalcifications in fibrous caps. Moecularl Cell Biomechics 5(1), 37–47.
20. Vengrenyuk Y., Carlier S., Xanthos S., Cardoso L, Ganatos P, Virmani R, Einav S, Gilchrist L., Weinbaum S., 2006. A hypothesis for vulnerable plaque rupture due to stress-induced debonding around cellular microcalcifications in thin fibrous caps. In Proceedings of National Academy of Sciences of the United States of American 103(40), 14678–14683.
21. Bluestein D., Alemu Y., Avrahami I., Gharib M., Dumont K., Ricotta J. J., Einav S., 2008. Influence of microcalcifications on vulnerable plaque mechanics using FSI modeling. Journal of Biomechanics 41(5), 1111–1118. doi: 10.1016/j.jbiomech.2007.11.029 18258240
22. Maldonado N., Kelly-Arnold A., Vengrenyuk Y., Laudier D., Fallon J. T., Virmani R., Cardoso L., Weinbaum S., 2012. A mechanistic analysis of the role of microcalcifications in atherosclerotic plaque stability: potential implications for plaque rupture. Am J Physiol Heart Circ Physiol. 303(5):H619–28. doi: 10.1152/ajpheart.00036.2012 22777419
23. Kelly-Arnold A., Maldonado N., Laudier D., Aikawa E., Cardoso L., Weinbaum S., Revised microcalcification hypothesis for fibrous cap rupture in human coronary arteries. 2013. Proc Natl Acad Sci USA. 110(26):10741–6. doi: 10.1073/pnas.1308814110 23733926
24. Samady H, Eshtehardi P, McDaniel MC, Suo J, Dhawan SS, Maynard C, et al. Coronary artery wall shear stress is associated with progression and transformation of atherosclerotic plaque and arterial remodeling in patients with coronary artery disease. Circulation. 2011; 124(7):779–788. doi: 10.1161/CIRCULATIONAHA.111.021824 21788584
25. Stone PH, Saito S, Takahashi S, Makita Y, Nakamura S, Kawasaki T, et al. Prediction of progression of coronary artery disease and clinical outcomes using vascular profiling of endothelial shear stress and arterial plaque characteristics: the PREDICTION study. Circulation. 2012; 126(2): 172–181. doi: 10.1161/CIRCULATIONAHA.112.096438 22723305
26. Stary HC, Chandler AB, Dinsmore RE, Fuster V, Glagov S, Insull W, Jret al. A Definition of Advanced Types of Atherosclerotic Lesions and a Histological Classification of Atherosclerosis: A Report from the Committee on Vascular Lesions of the Council on Arteriosclerosis, American Heart Association. Circulation. 1995; 92(5): 1355–1374. 7648691
27. Mintz GS, Nissen SE, Anderson WD, Bailey SR, Erbel R, Fitzgerald PJ, Pinto FJ, Rosenfield K, Siegel RJ, Tuzcu EM, Yock PG, American College of Cardiology clinical expert consensus document on standards for acquisition, measurement and reporting of intravascular ultrasound studies (IVUS): a report of the American College of Cardiology Task Force on Clinical Expert Consensus Documents. J Am Coll Cardiol 2001;37:1478–92. 11300468
28. Nair A, Kuban BD, Tuzcu EM, Schoenhagen P, Nissen SE, Vince DG, (2002) Coronary plaque classification with intravascular ultrasound radiofrequency data analysis. Circulation 106:2200–2206. 12390948
29. Tang D, Yang C, Zheng J, Woodard PK, Sicard GA, Saffitz JE, et al. 3D MRI-based multi-component FSI models for atherosclerotic plaques, a 3-D FSI model. Ann Biomed Eng, 2004; 32(7):947–960. 15298432
30. Yang C, Bach RG, Zheng J, Naqa IE, Woodard PK, Teng Z, et al. In vivo IVUS-based 3D fluid structure interaction models with cyclic bending and anisotropic vessel properties for human atherosclerotic coronary plaque mechanical analysis, IEEE Trans. Biomed. Eng. 2009; 56(10):2420–2428.
31. Bathe KJ, Theory and Modeling Guide, Vol I & II: ADINA and ADINA-F, ADINA R & D, Inc., Watertown, MA, 2002.
32. Kural MH, Cai M, Tang D, Gwyther T, Zheng J, Billiar KL, Planar biaxial characterization of diseased human coronary and carotid arteries for computational modelong. J Biomech. 2012; 45(5): 790–798. doi: 10.1016/j.jbiomech.2011.11.019 22236530
33. Tang D, Kamm RD, Yang C, Zheng J, Canton G, Bach RG, et al. Image-based modeling for better understanding and assessment of atherosclerotic plaque progression and vulnerability: data, modeling, validation, uncertainty and predictions. J Biomech. 2014; 47(4):834–46. doi: 10.1016/j.jbiomech.2014.01.012 24480706
34. Holzapfel GA, Mulvihill JJ, Cunnane EM, Walsh MT, Computational approaches for analyzing the mechanics of atherosclerotic plaques: a review, J Biomech, 2014; 47(4):859–69. doi: 10.1016/j.jbiomech.2014.01.011 24491496
35. Holzapfel GA, Sommer G, Regitnig P, Anisotropic mechanical properties of tissue components in human atherosclerotic plaques, J Biomech Eng. 2004; 126(5):657–665. 15648819
36. Virmani R, Kolodgie FD, Burke AP, Farb A, Schwartz SM, Lessons from sudden coronary death: a comprehensive morphological classification scheme for atherosclerotic lesions. Arteriosclerosis Thrombosis, and Vascular Biology. 2000; 20(5), 1262–1275.
37. Virmani R, Ladich ER, Burke AP, Kolodgie FD, Histopathology of carotid atherosclerotic disease. Neurosurgery. 2006; 59, S219–S227. 17053606