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Distinguishing hepatic metastases from hemangiomas: Qualitative and quantitative diagnostic performance through dual echo respiratory-triggered fast spin echo magnetic resonance imaging
DC Field | Value | Language |
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dc.contributor.author | 유정식 | - |
dc.date.accessioned | 2017-10-26T06:32:38Z | - |
dc.date.available | 2017-10-26T06:32:38Z | - |
dc.date.issued | 2005 | - |
dc.identifier.issn | 0363-8715 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/150962 | - |
dc.description.abstract | OBJECTIVE: To determine the relative value of qualitative (reader opinion) and quantitative (values derived from dual echo T2 fast spin echo [FSE]) measures in distinguishing hepatic metastases from hemangiomas. METHODS: Forty-nine patients with hemangiomas and 23 with metastases were studied with dual echo respiratory-triggered FSE and dynamic 2-dimensional spoiled gradient echo (GRE) imaging. Lesion T2 was estimated from signal intensity ratios on the first and second echoes. Two experienced radiologists independently evaluated groups of images based on 5 separate qualitative measures: first echo FSE, second echo FSE, first and second echo FSE, dynamic GRE, and all images together. RESULTS: The mean calculated T2s were 226 +/- 74 milliseconds for hemangiomas and 105 +/- 22 milliseconds for metastases (P < 0.001). A T2 cutoff of 130 milliseconds distinguished metastases from hemangiomas with a sensitivity of 94%, specificity of 91%, and accuracy of nearly 94%. There was no significant difference between the best quantitative measure and the best qualitative measure for either reader. CONCLUSION: Liver lesion T2 relaxation times calculated from dual echo FSE images provide information useful in discriminating metastases from hemangiomas, as does reader opinion. | - |
dc.description.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | Lippincott Williams & Wilkins | - |
dc.relation.isPartOf | JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Adult | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Chi-Square Distribution | - |
dc.subject.MESH | Contrast Media | - |
dc.subject.MESH | Diagnosis, Differential | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Hemangioma/diagnosis* | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Image Processing, Computer-Assisted | - |
dc.subject.MESH | Liver Neoplasms/diagnosis* | - |
dc.subject.MESH | Liver Neoplasms/secondary* | - |
dc.subject.MESH | Magnetic Resonance Imaging/methods* | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Sensitivity and Specificity | - |
dc.subject.MESH | Statistics, Nonparametric | - |
dc.title | Distinguishing hepatic metastases from hemangiomas: Qualitative and quantitative diagnostic performance through dual echo respiratory-triggered fast spin echo magnetic resonance imaging | - |
dc.type | Article | - |
dc.publisher.location | United States | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Radiology (영상의학교실) | - |
dc.contributor.googleauthor | Young H. Kim | - |
dc.contributor.googleauthor | Sanjay Saini | - |
dc.contributor.googleauthor | Michael A. Blake | - |
dc.contributor.googleauthor | Mukesh Harisinghani | - |
dc.contributor.googleauthor | Yi-You Chiou | - |
dc.contributor.googleauthor | Won Jin Lee | - |
dc.contributor.googleauthor | Jeong-Sik Yu | - |
dc.contributor.googleauthor | Peter F. Hahn | - |
dc.identifier.doi | OAK-2005-04018 | - |
dc.contributor.localId | A02500 | - |
dc.relation.journalcode | J01350 | - |
dc.identifier.eissn | 1532-3145 | - |
dc.identifier.pmid | 16163021 | - |
dc.identifier.url | http://ovidsp.ovid.com/ovidweb.cgi?T=JS&CSC=Y&NEWS=N&PAGE=fulltext&AN=00004728-200509000-00001&LSLINK=80&D=ovft | - |
dc.subject.keyword | 16163021 | - |
dc.contributor.alternativeName | Yu, Jeong Sik | - |
dc.citation.volume | 29 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 571 | - |
dc.citation.endPage | 579 | - |
dc.identifier.bibliographicCitation | JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, Vol.29(5) : 571-579, 2005 | - |
dc.date.modified | 2017-05-04 | - |
dc.identifier.rimsid | 42845 | - |
dc.type.rims | ART | - |
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