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Volumn 205, Issue , 2016, Pages 157-159

A parametric study of inflammatory effects on plaque mechanical stress

Author keywords

Atherosclerosis; Inflammation; Parametric finite element analysis; Vulnerable plaque

Indexed keywords

COLLAGEN;

EID: 84955444847     PISSN: 01675273     EISSN: 18741754     Source Type: Journal    
DOI: 10.1016/j.ijcard.2015.12.019     Document Type: Article
Times cited : (1)

References (5)
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  • 2
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    • Use of contrast enhancement and high-resolution 3D black-blood MRI to identify inflammation in atherosclerosis
    • J. Hur, and et al. Use of contrast enhancement and high-resolution 3D black-blood MRI to identify inflammation in atherosclerosis J. Am. Coll. Cardiol. Img. 3 11 2010 1127 1135
    • (2010) J. Am. Coll. Cardiol. Img. , vol.3 , Issue.11 , pp. 1127-1135
    • Hur, J.1
  • 3
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    • Identification of inflamed atherosclerotic lesions in vivo using PET-CT
    • M.K. Jezovnik, and et al. Identification of inflamed atherosclerotic lesions in vivo using PET-CT Inflammation 37 2 2014 426 434
    • (2014) Inflammation , vol.37 , Issue.2 , pp. 426-434
    • Jezovnik, M.K.1
  • 4
    • 78249278771 scopus 로고    scopus 로고
    • Noninvasive imaging of plaque inflammation: Role of contrast-enhanced MRI
    • W.S. Kerwin Noninvasive imaging of plaque inflammation: role of contrast-enhanced MRI J. Am. Coll. Cardiol. Img. 3 11 2010 1136 1138
    • (2010) J. Am. Coll. Cardiol. Img. , vol.3 , Issue.11 , pp. 1136-1138
    • Kerwin, W.S.1
  • 5
    • 77954874237 scopus 로고    scopus 로고
    • Association of inflammation of the left anterior descending coronary artery with cardiovascular risk factors, plaque burden and pericardial fat volume: A PET/CT study
    • T. Saam, and et al. Association of inflammation of the left anterior descending coronary artery with cardiovascular risk factors, plaque burden and pericardial fat volume: a PET/CT study Eur. J. Nucl. Med. Mol. Imaging 37 6 2010 1203 1212
    • (2010) Eur. J. Nucl. Med. Mol. Imaging , vol.37 , Issue.6 , pp. 1203-1212
    • Saam, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.