{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T18:20:45Z","timestamp":1790878845571,"version":"4.1.0"},"reference-count":26,"publisher":"Journal of Neurosurgery Publishing Group (JNSPG)","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JNS"],"published-print":{"date-parts":[[2007,9]]},"abstract":"<jats:sec>\n<jats:title>Object<\/jats:title>\n<jats:p>Individuals with carotid atherosclerosis develop symptoms following rupture of vulnerable plaques. Biomechanical stresses within this plaque may increase vulnerability to rupture. In this report the authors describe the use of in vivo carotid plaque imaging and computational mechanics to document the magnitude and distribution of intrinsic plaque stresses.<\/jats:p><\/jats:sec>\n<jats:sec>\n<jats:title>Methods<\/jats:title>\n<jats:p>Ten (five symptomatic and five asymptomatic) individuals underwent plaque characterization magnetic resonance (MR) imaging. Plaque geometry and composition were determined by multisequence review. Intrinsic plaque stress profiles were generated from 3D meshes by using finite element computational analysis. Differences in principal (shear) stress between normal and diseased sections of the carotid artery and between symptomatic and asymptomatic plaques were noted.<\/jats:p><\/jats:sec>\n<jats:sec>\n<jats:title>Results<\/jats:title>\n<jats:p>There was a significant difference in peak principal stress between diseased and nondiseased segments of the artery (mean difference 537.65 kPa, p &lt; 0.05). Symptomatic plaques had higher mean stresses than asymptomatic plaques (627.6 kPa compared with 370.2 kPa, p = 0.05), which were independent of luminal stenosis and plaque composition.<\/jats:p><\/jats:sec>\n<jats:sec>\n<jats:title>Conclusions<\/jats:title>\n<jats:p>Significant differences in plaque stress exist between plaques from symptomatic individuals and those from asymptomatic individuals. The MR imaging\u2013based computational analysis may therefore be a useful aid to identification of vulnerable plaques in vivo.<\/jats:p><\/jats:sec>","DOI":"10.3171\/jns-07\/09\/0536","type":"journal-article","created":{"date-parts":[[2008,1,24]],"date-time":"2008-01-24T12:54:10Z","timestamp":1201179250000},"page":"536-542","source":"Crossref","is-referenced-by-count":21,"title":["Identifying vulnerable carotid plaques in vivo using high resolution magnetic resonance imaging\u2013based finite element analysis"],"prefix":"10.3171","volume":"107","author":[{"given":"Rikin A.","family":"Trivedi","sequence":"first","affiliation":[{"name":"University Department of Radiology and"},{"name":"Academic Neurosurgery Unit, Addenbrooke's Hospital, Cambridge, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhi-Yong","family":"Li","sequence":"additional","affiliation":[{"name":"University Department of Radiology and"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jean","family":"U-King-Im","sequence":"additional","affiliation":[{"name":"University Department of Radiology and"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martin J.","family":"Graves","sequence":"additional","affiliation":[{"name":"University Department of Radiology and"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter J.","family":"Kirkpatrick","sequence":"additional","affiliation":[{"name":"Academic Neurosurgery Unit, Addenbrooke's Hospital, Cambridge, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jonathan H.","family":"Gillard","sequence":"additional","affiliation":[{"name":"University Department of Radiology and"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1754","reference":[{"key":"b1-1070536","series-title":"N Engl J Med","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1056\/NEJM199108153250701","article-title":"Beneficial effect of carotid endarterectomy in symptomatic patients with high-grade carotid stenosis. 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