Cited 24 times in
Ischemic stroke: measurement of intracranial artery calcifications can improve prediction of asymptomatic coronary artery disease
DC Field | Value | Language |
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dc.contributor.author | 김영대 | - |
dc.contributor.author | 김응엽 | - |
dc.contributor.author | 남효석 | - |
dc.contributor.author | 안성수 | - |
dc.contributor.author | 이승구 | - |
dc.contributor.author | 최병욱 | - |
dc.contributor.author | 한경화 | - |
dc.contributor.author | 허지회 | - |
dc.date.accessioned | 2014-12-18T09:19:36Z | - |
dc.date.available | 2014-12-18T09:19:36Z | - |
dc.date.issued | 2013 | - |
dc.identifier.issn | 0033-8419 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/87962 | - |
dc.description.abstract | PURPOSE: To examine the associations between intracranial artery calcifications (IACs) and coronary artery calcifications (CACs) in patients with ischemic stroke and to assess the predictive value of IAC for asymptomatic coronary artery disease (CAD). MATERIALS AND METHODS: This retrospective study, approved by an institutional review board that waived the need for informed consent, included 314 consecutive patients who had acute ischemic stroke and who underwent both brain and coronary computed tomography (CT) within 1 month of stroke. IAC was quantified semiautomatically by calculating both Agatston scores (area of calcification multiplied by a weighted value assigned to its highest Hounsfield unit) and volumes on thin-section unenhanced images and was correlated with coronary calcium scores and volumes. Quartiles were created for IAC scores and were used for logistic regression analysis. An optimal IAC score cutoff value was determined and used to predict the presence of asymptomatic CAD. Independent factors for asymptomatic CAD were assessed by using multiple logistic regression analysis. Receiver operating characteristic curve analysis was performed to evaluate the added value of IAC scores for prediction of asymptomatic CAD. RESULTS: IAC and CAC were significantly correlated for both Agatston scores and volumes (R = 0.665 and 0.663, respectively; P < .001). A graded association was found between IAC scores and presence of asymptomatic CAD. Both IAC scores of 120.11 or greater (odds ratio [OR], 2.57; 95% confidence interval [CI]: 1.45, 4.55) and diabetes mellitus (OR, 4.23; 95% CI: 2.42, 7.4) were independent predictors for asymptomatic CAD. Adding the IAC score to analytic models significantly improved the ability to predict asymptomatic CAD. CONCLUSION: The IAC scores quantified by using unenhanced CT correlate significantly with coronary calcium scores and may serve as an independent predictor of asymptomatic CAD in patients with ischemic stroke. | - |
dc.description.statementOfResponsibility | open | - |
dc.relation.isPartOf | RADIOLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Brain Ischemia/diagnostic imaging | - |
dc.subject.MESH | Brain Ischemia/epidemiology* | - |
dc.subject.MESH | Calcinosis/diagnostic imaging | - |
dc.subject.MESH | Calcinosis/epidemiology* | - |
dc.subject.MESH | Causality | - |
dc.subject.MESH | Comorbidity | - |
dc.subject.MESH | Coronary Angiography/statistics & numerical data | - |
dc.subject.MESH | Coronary Artery Disease/diagnostic imaging | - |
dc.subject.MESH | Coronary Artery Disease/epidemiology* | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Prevalence | - |
dc.subject.MESH | Prognosis | - |
dc.subject.MESH | Reproducibility of Results | - |
dc.subject.MESH | Republic of Korea/epidemiology | - |
dc.subject.MESH | Risk Factors | - |
dc.subject.MESH | Sensitivity and Specificity | - |
dc.subject.MESH | Stroke/diagnostic imaging | - |
dc.subject.MESH | Stroke/epidemiology* | - |
dc.subject.MESH | Tomography, X-Ray Computed/statistics & numerical data | - |
dc.title | Ischemic stroke: measurement of intracranial artery calcifications can improve prediction of asymptomatic coronary artery disease | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Radiology (영상의학) | - |
dc.contributor.googleauthor | Sung Soo Ahn | - |
dc.contributor.googleauthor | Hyo Suk Nam | - |
dc.contributor.googleauthor | Ji Hoe Heo | - |
dc.contributor.googleauthor | Young Dae Kim | - |
dc.contributor.googleauthor | Seung-Koo Lee | - |
dc.contributor.googleauthor | Kyung Hwa Han | - |
dc.contributor.googleauthor | Byoung Wook Choi | - |
dc.contributor.googleauthor | Eung Yeop Kim | - |
dc.identifier.doi | 10.1148/radiol.13122417 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A00702 | - |
dc.contributor.localId | A00832 | - |
dc.contributor.localId | A01273 | - |
dc.contributor.localId | A02912 | - |
dc.contributor.localId | A04059 | - |
dc.contributor.localId | A04267 | - |
dc.contributor.localId | A04369 | - |
dc.contributor.localId | A02234 | - |
dc.relation.journalcode | J02596 | - |
dc.identifier.eissn | 1527-1315 | - |
dc.identifier.pmid | 23674788 | - |
dc.identifier.url | http://pubs.rsna.org/doi/abs/10.1148/radiol.13122417?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%3dpubmed | - |
dc.subject.keyword | Aged | - |
dc.subject.keyword | Brain Ischemia/diagnostic imaging | - |
dc.subject.keyword | Brain Ischemia/epidemiology* | - |
dc.subject.keyword | Calcinosis/diagnostic imaging | - |
dc.subject.keyword | Calcinosis/epidemiology* | - |
dc.subject.keyword | Causality | - |
dc.subject.keyword | Comorbidity | - |
dc.subject.keyword | Coronary Angiography/statistics & numerical data | - |
dc.subject.keyword | Coronary Artery Disease/diagnostic imaging | - |
dc.subject.keyword | Coronary Artery Disease/epidemiology* | - |
dc.subject.keyword | Female | - |
dc.subject.keyword | Humans | - |
dc.subject.keyword | Male | - |
dc.subject.keyword | Middle Aged | - |
dc.subject.keyword | Prevalence | - |
dc.subject.keyword | Prognosis | - |
dc.subject.keyword | Reproducibility of Results | - |
dc.subject.keyword | Republic of Korea/epidemiology | - |
dc.subject.keyword | Risk Factors | - |
dc.subject.keyword | Sensitivity and Specificity | - |
dc.subject.keyword | Stroke/diagnostic imaging | - |
dc.subject.keyword | Stroke/epidemiology* | - |
dc.subject.keyword | Tomography, X-Ray Computed/statistics & numerical data | - |
dc.contributor.alternativeName | Kim, Young Dae | - |
dc.contributor.alternativeName | Kim, Eung Yeop | - |
dc.contributor.alternativeName | Nam, Hyo Suk | - |
dc.contributor.alternativeName | Ahn, Sung Soo | - |
dc.contributor.alternativeName | Lee, Seung Koo | - |
dc.contributor.alternativeName | Choi, Byoung Wook | - |
dc.contributor.alternativeName | Han, Kyung Hwa | - |
dc.contributor.alternativeName | Heo, Ji Hoe | - |
dc.contributor.affiliatedAuthor | Kim, Young Dae | - |
dc.contributor.affiliatedAuthor | Kim, Eung Yeop | - |
dc.contributor.affiliatedAuthor | Nam, Hyo Suk | - |
dc.contributor.affiliatedAuthor | Lee, Seung Koo | - |
dc.contributor.affiliatedAuthor | Choi, Byoung Wook | - |
dc.contributor.affiliatedAuthor | Han, Kyung Hwa | - |
dc.contributor.affiliatedAuthor | Heo, Ji Hoe | - |
dc.contributor.affiliatedAuthor | Ahn, Sung Soo | - |
dc.rights.accessRights | not free | - |
dc.citation.volume | 268 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 842 | - |
dc.citation.endPage | 849 | - |
dc.identifier.bibliographicCitation | RADIOLOGY, Vol.268(3) : 842-849, 2013 | - |
dc.identifier.rimsid | 33875 | - |
dc.type.rims | ART | - |
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