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<article xlink="http://www.w3.org/1999/xlink" dtd-version="1.0" article-type="healthcare" lang="en"><front><journal-meta><journal-id journal-id-type="publisher">IJCRR</journal-id><journal-id journal-id-type="nlm-ta">I Journ Cur Res Re</journal-id><journal-title-group><journal-title>International Journal of Current Research and Review</journal-title><abbrev-journal-title abbrev-type="pubmed">I Journ Cur Res Re</abbrev-journal-title></journal-title-group><issn pub-type="ppub">2231-2196</issn><issn pub-type="opub">0975-5241</issn><publisher><publisher-name>Radiance Research Academy</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">3128</article-id><article-id pub-id-type="doi"/><article-id pub-id-type="doi-url"> http://dx.doi.org/10.31782/IJCRR.2020.SP64</article-id><article-categories><subj-group subj-group-type="heading"><subject>Healthcare</subject></subj-group></article-categories><title-group><article-title>Carotid Artery Evaluation and its Correlation with White Matter Hyperintensities: A Study Protocol&#13;
</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Madurwar</surname><given-names>Kaustubh Anil</given-names></name></contrib><contrib contrib-type="author"><name><surname>Phatak</surname><given-names>Suresh Vasant</given-names></name></contrib><contrib contrib-type="author"><name><surname>Gode</surname><given-names>Chetan</given-names></name></contrib></contrib-group><pub-date pub-type="ppub"><day>30</day><month>11</month><year>2020</year></pub-date><volume>mi</volume><issue>ic</issue><fpage>62</fpage><lpage>64</lpage><permissions><copyright-statement>This article is copyright of Popeye Publishing, 2009</copyright-statement><copyright-year>2009</copyright-year><license license-type="open-access" href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.</license-p></license></permissions><abstract><p>Background: White matter hyperintensity is an independent and one of the important risk factors than can foresee future stroke and is a very common MRI brain finding. It is one of the most accessible markers to access the effect of vascular hemodynamics on the brain. Carotid Doppler indices have a strong correlation with WMH mainly due to atherosclerotic plaques. Thus these indices we can predict the white matter Hyperintensity burden Objectives: Study cerebral white matter hyperintensities association with structural and hemodynamic parameters of the carotid artery. To calculate composite intima-media thickness. Evaluate white matter Hyperintensity into low and high burden plaques. Methodology: 76 patients with white matter hyperintensities will be included in the study subsequent Carotid artery Doppler will be performed to determine various indices which will be later be correlated to MRI findings Results: Statistical parameters like specificity, sensitivity, accuracy, negative predictive value and positive predictive value of each carotid Doppler value will be correlated to white matter score. ROC curve will be plotted to prove its diagnostic accuracy Conclusion: Using carotid artery doppler, we can predict the burden of T2/FLAIR white matter ischemic changes in the brain and thus can be used as a predictor of stroke.&#13;
</p></abstract><kwd-group><kwd> Carotid Artery</kwd><kwd> White matter hyperintensities</kwd><kwd> Composite intima-media thickness</kwd></kwd-group></article-meta></front></article>
