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    Optimal Prediction of Carotid Intraplaque Hemorrhage Using Clinical and Lumen Imaging Markers | American Journal of Neuroradiology  
    



















    































    
  
  




    
    

  

      


    

      

  
  
  

    

  

    

  

                
    

      

  

    

  
      
  
  

    


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Research ArticleEXTRACRANIAL VASCULAR

  
      
Open Access

  
      
Optimal Prediction of Carotid Intraplaque Hemorrhage Using Clinical and Lumen Imaging Markers
  
    	
M.S. McLaughlin, P.J. Hinckley, S.M. Treiman, S.-E. Kim, G.J. Stoddard, D.L. Parker, G.S. Treiman and J.S. McNally

  
    	
American Journal of Neuroradiology December 2015,  36 (12) 2360-2366; DOI: https://doi.org/10.3174/ajnr.A4454 

  
  
  



  


  
  



			

		

	
	
 	
	  
  

		
		

			

			  

  
      
  
  

    
  


  
  



  
      
  
  

    

  

    

  
      
  
  

    
REFERENCES
  1. 1.↵
    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;325:445–53 doi:10.1056/NEJM199108153250701 pmid:1852179
    CrossRefPubMedWeb of Science
  2. 2.↵
    Endarterectomy for asymptomatic carotid artery stenosis: Executive Committee for the Asymptomatic Carotid Atherosclerosis Study. JAMA 1995;273:1421–28 doi:10.1001/jama.1995.03520420037035 pmid:7723155
    CrossRefPubMedWeb of Science
  3. 3.↵
    Randomised trial of endarterectomy for recently symptomatic carotid stenosis: final results of the MRC European Carotid Surgery Trial (ECST). Lancet 1998;351:1379–87 doi:10.1016/S0140-6736(97)09292-1 pmid:9593407
    CrossRefPubMedWeb of Science
  4. 4.↵
    1. 

    2. Moody  AR, 
    3. Murphy  RE, 
    4. Morgan  PS, et al
    . Characterization of complicated carotid plaque with magnetic resonance direct thrombus imaging in patients with cerebral ischemia. Circulation 2003;107:3047–52 doi:10.1161/01.CIR.0000074222.61572.44 pmid:12796133
    Abstract/FREE Full Text
  5. 5.↵
    1. 

    2. Ota  H, 
    3. Yarnykh  VL, 
    4. Ferguson  MS, et al
    . Carotid intraplaque hemorrhage imaging at 3.0-T MR imaging: comparison of the diagnostic performance of three T1-weighted sequences. Radiology 2010;254:551–63 doi:10.1148/radiol.09090535 pmid:20093526
    CrossRefPubMedWeb of Science
  6. 6.↵
    1. 

    2. Yamada  N, 
    3. Higashi  M, 
    4. Otsubo  R, et al
    . Association between signal hyperintensity on T1-weighted MR imaging of carotid plaques and ipsilateral ischemic events. AJNR Am J Neuroradiol 2007;28:287–92 pmid:17296997
    Abstract/FREE Full Text
  7. 7.↵
    1. 

    2. Takaya  N, 
    3. Yuan  C, 
    4. Chu  B, et al
    . Association between carotid plaque characteristics and subsequent ischemic cerebrovascular events: a prospective assessment with MRI—initial results. Stroke 2006;37:818–23 doi:10.1161/01.STR.0000204638.91099.91 pmid:16469957
    Abstract/FREE Full Text
  8. 8.↵
    1. 

    2. McNally  JS, 
    3. McLaughlin  MS, 
    4. Hinckley  PJ, et al
    . Intraluminal thrombus, intraplaque hemorrhage, plaque thickness, and current smoking optimally predict carotid stroke. Stroke 2015;46:84–90 doi:10.1161/STROKEAHA.114.006286 pmid:25406146
    Abstract/FREE Full Text
  9. 9.↵
    1. 

    2. McNally  JS, 
    3. Kim  SE, 
    4. Yoon  HC, et al
    . Carotid magnetization-prepared rapid acquisition with gradient-echo signal is associated with acute territorial cerebral ischemic events detected by diffusion-weighted MRI. Circ Cardiovasc Imaging 2012;5:376–82 doi:10.1161/CIRCIMAGING.111.967398 pmid:22495769
    Abstract/FREE Full Text
  10. 10.↵
    1. 

    2. Sun  J, 
    3. Song  Y, 
    4. Chen  H, et al
    . Adventitial perfusion and intraplaque hemorrhage: a dynamic contrast-enhanced MRI study in the carotid artery. Stroke 2013;44:1031–36 doi:10.1161/STROKEAHA.111.000435 pmid:23471271
    Abstract/FREE Full Text
  11. 11.↵
    1. 

    2. Zhao  X, 
    3. Underhill  HR, 
    4. Zhao  Q, et al
    . Discriminating carotid atherosclerotic lesion severity by luminal stenosis and plaque burden: a comparison utilizing high-resolution magnetic resonance imaging at 3.0 Tesla. Stroke 2011;42:347–53 doi:10.1161/STROKEAHA.110.597328 pmid:21183749
    Abstract/FREE Full Text
  12. 12.↵
    1. 

    2. U-King-Im  JM, 
    3. Fox  AJ, 
    4. Aviv  RI, et al
    . Characterization of carotid plaque hemorrhage: a CT angiography and MR intraplaque hemorrhage study. Stroke 2010;41:1623–29 doi:10.1161/STROKEAHA.110.579474 pmid:20576955
    Abstract/FREE Full Text
  13. 13.↵
    1. 

    2. Zhao  XQ, 
    3. Hatsukami  TS, 
    4. Hippe  DS, et al
    ; AIM-HIGH Carotid MRI Sub-study Investigators. Clinical factors associated with high-risk carotid plaque features as assessed by magnetic resonance imaging in patients with established vascular disease (from the AIM-HIGH Study). Am J Cardiol 2014;114:1412–19 doi:10.1016/j.amjcard.2014.08.001 pmid:25245415
    CrossRefPubMed
  14. 14.↵
    1. 

    2. Zhu  DC, 
    3. Ferguson  MS, 
    4. DeMarco  JK
    . An optimized 3D inversion recovery prepared fast spoiled gradient recalled sequence for carotid plaque hemorrhage imaging at 3.0 T. Magn Reson Imaging 2008;26:1360–66 doi:10.1016/j.mri.2008.05.002 pmid:18583079
    CrossRefPubMedWeb of Science
  15. 15.↵
    1. 

    2. Hadley  JR, 
    3. Roberts  JA, 
    4. Goodrich  KC, et al
    . Relative RF coil performance in carotid imaging. Magn Reson Imaging 2005;23:629–39 doi:10.1016/j.mri.2005.04.009 pmid:16051037
    CrossRefPubMed
  16. 16.↵
    North American Symptomatic Carotid Endarterectomy Trial: methods, patient characteristics, and progress. Stroke 1991;22:711–20 doi:10.1161/01.STR.22.6.711 pmid:2057968
    Abstract/FREE Full Text
  17. 17.↵
    1. 

    2. Fox  AJ
    . How to measure carotid stenosis. Radiology 1993;186:316–18 doi:10.1148/radiology.186.2.8421726 pmid:8421726
    CrossRefPubMedWeb of Science
  18. 18.↵
    1. 

    2. Bartlett  ES, 
    3. Walters  TD, 
    4. Symons  SP, et al
    . Quantification of carotid stenosis on CT angiography. AJNR Am J Neuroradiol 2006;27:13–19 pmid:16418349
    Abstract/FREE Full Text
  19. 19.↵
    1. 

    2. Fox  AJ, 
    3. Eliasziw  M, 
    4. Rothwell  PM, et al
    . Identification, prognosis, and management of patients with carotid artery near occlusion. AJNR Am J Neuroradiol 2005;26:2086–94 pmid:16155163
    Abstract/FREE Full Text
  20. 20.↵
    1. 

    2. Menon  BK, 
    3. Singh  J, 
    4. Al-Khataami  A, et al
    ; Calgary CTA Study Group. The donut sign on CT angiography: an indicator of reversible intraluminal carotid thrombus? Neuroradiology 2010;52:1055–56 doi:10.1007/s00234-010-0738-x pmid:20625710
    CrossRefPubMed
  21. 21.↵
    1. 

    2. Anzidei  M, 
    3. Napoli  A, 
    4. Zaccagna  F, et al
    . Diagnostic accuracy of colour Doppler ultrasonography, CT angiography and blood-pool-enhanced MR angiography in assessing carotid stenosis: a comparative study with DSA in 170 patients. Radiol Med 2012;117:54–71 doi:10.1007/s11547-011-0651-3 pmid:21424318
    CrossRefPubMed
  22. 22.↵
    1. 

    2. Buttari  B, 
    3. Profumo  E, 
    4. Businaro  R, et al
    . Oxidized haemoglobin-driven endothelial dysfunction and immune cell activation: novel therapeutic targets for atherosclerosis. Curr Med Chem 2013;20:4806–14 doi:10.2174/09298673113209990162 pmid:23834168
    CrossRefPubMed
  23. 23.↵
    1. 

    2. Kerwin  WS, 
    3. O'Brien  KD, 
    4. Ferguson  MS, et al
    . Inflammation in carotid atherosclerotic plaque: a dynamic contrast-enhanced MR imaging study. Radiology 2006;241:459–68 doi:10.1148/radiol.2412051336 pmid:16966482
    CrossRefPubMedWeb of Science
  24. 24.↵
    1. 

    2. Mendes  J, 
    3. Parker  DL, 
    4. McNally  S, et al
    . Three-dimensional dynamic contrast enhanced imaging of the carotid artery with direct arterial input function measurement. Magn Reson Med 2014;72:816–22 doi:10.1002/mrm.v72.3 pmid:24375566
    CrossRefPubMed
  25. 25.↵
    1. 

    2. Cheng  C, 
    3. Tempel  D, 
    4. van Haperen  R, et al
    . Atherosclerotic lesion size and vulnerability are determined by patterns of fluid shear stress. Circulation 2006;113:2744–53 doi:10.1161/CIRCULATIONAHA.105.590018 pmid:16754802
    Abstract/FREE Full Text
  26. 26.↵
    1. 

    2. McNally  JS, 
    3. Davis  ME, 
    4. Giddens  DP, et al
    . Role of xanthine oxidoreductase and NAD(P)H oxidase in endothelial superoxide production in response to oscillatory shear stress. Am J Physiol Heart Circ Physiol 2003;285:H2290–97 doi:10.1152/ajpheart.00515.2003 pmid:12958034
    Abstract/FREE Full Text
  27. 27.↵
    1. 

    2. Davies  PF, 
    3. Polacek  DC, 
    4. Shi  C, et al
    . The convergence of haemodynamics, genomics, and endothelial structure in studies of the focal origin of atherosclerosis. Biorheology 2002;39:299–306 pmid:12122245
    PubMedWeb of Science
  28. 28.↵
    1. 

    2. Pedersen  EM, 
    3. Oyre  S, 
    4. Agerbaek  M, et al
    . Distribution of early atherosclerotic lesions in the human abdominal aorta correlates with wall shear stresses measured in vivo. Eur J Vasc Endovasc Surg 1999;18:328–33 doi:10.1053/ejvs.1999.0913 pmid:10550268
    CrossRefPubMedWeb of Science
  29. 29.↵
    1. 

    2. Wentzel  JJ, 
    3. Kloet  J, 
    4. Andhyiswara  I, et al
    . Shear-stress and wall-stress regulation of vascular remodeling after balloon angioplasty: effect of matrix metalloproteinase inhibition. Circulation 2001;104:91–96 doi:10.1161/01.CIR.104.1.91 pmid:11435344
    Abstract/FREE Full Text
  30. 30.↵
    1. 

    2. Clarke  EM, 
    3. Thompson  RC, 
    4. Allam  AH, et al
    . Is atherosclerosis fundamental to human aging? Lessons from ancient mummies. J Cardiol 2014;63:329–34 doi:10.1016/j.jjcc.2013.12.012 pmid:24582386
    CrossRefPubMed
  31. 31.↵
    1. 

    2. Sobenin  IA, 
    3. Zhelankin  AV, 
    4. Sinyov  VV, et al
    . Mitochondrial aging: focus on mitochondrial DNA damage in atherosclerosis—a mini-review. Gerontology 2015;61:343–49 doi:10.1159/000368923 pmid:25531813
    CrossRefPubMed
  32. 32.↵
    1. 

    2. Akishita  M, 
    3. Yu  J
    . Hormonal effects on blood vessels. Hypertens Res 2012;35:363–69 doi:10.1038/hr.2012.4 pmid:22297478
    CrossRefPubMed
  33. 33.↵
    1. 

    2. Howard  BV, 
    3. Rossouw  JE
    . Estrogens and cardiovascular disease risk revisited: the Women's Health Initiative. Curr Opin Lipidol 2013;24:493–99 doi:10.1097/MOL.0000000000000022 pmid:24184944
    CrossRefPubMed
  34. 34.↵
    1. 

    2. Traish  AM, 
    3. Kypreos  KE
    . Testosterone and cardiovascular disease: an old idea with modern clinical implications. Atherosclerosis 2011;214:244–48 doi:10.1016/j.atherosclerosis.2010.08.078 pmid:20869058
    CrossRefPubMedWeb of Science
  35. 35.↵
    1. 

    2. Roy-O'Reilly  M, 
    3. McCullough  LD
    . Sex differences in stroke: the contribution of coagulation. Exp Neurol 2014;259:16–27 doi:10.1016/j.expneurol.2014.02.011 pmid:24560819
    CrossRefPubMed
  


  
  



  




  


  
  



  
      
  
  

    
  


  
  



  
      
  
  

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Optimal Prediction of Carotid Intraplaque Hemorrhage Using Clinical and Lumen Imaging Markers
  
    	
M.S. McLaughlin, P.J. Hinckley, S.M. Treiman, S.-E. Kim, G.J. Stoddard, D.L. Parker, G.S. Treiman, J.S. McNally

  
    	
 American Journal of Neuroradiology Dec 2015, 36 (12) 2360-2366; DOI: 10.3174/ajnr.A4454 

  
  
  



  


  
  



  
      
  
  

    

  
    
  
  
    
  
  
    
  


  


  
  



  
      
  
  

    
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