0 380

Cited 0 times in

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
dc.contributor.author유정식-
dc.date.accessioned2017-10-26T06:32:38Z-
dc.date.available2017-10-26T06:32:38Z-
dc.date.issued2005-
dc.identifier.issn0363-8715-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/150962-
dc.description.abstractOBJECTIVE: 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.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherLippincott Williams & Wilkins-
dc.relation.isPartOfJOURNAL OF COMPUTER ASSISTED TOMOGRAPHY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAdult-
dc.subject.MESHAged-
dc.subject.MESHChi-Square Distribution-
dc.subject.MESHContrast Media-
dc.subject.MESHDiagnosis, Differential-
dc.subject.MESHFemale-
dc.subject.MESHHemangioma/diagnosis*-
dc.subject.MESHHumans-
dc.subject.MESHImage Processing, Computer-Assisted-
dc.subject.MESHLiver Neoplasms/diagnosis*-
dc.subject.MESHLiver Neoplasms/secondary*-
dc.subject.MESHMagnetic Resonance Imaging/methods*-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHSensitivity and Specificity-
dc.subject.MESHStatistics, Nonparametric-
dc.titleDistinguishing hepatic metastases from hemangiomas: Qualitative and quantitative diagnostic performance through dual echo respiratory-triggered fast spin echo magnetic resonance imaging-
dc.typeArticle-
dc.publisher.locationUnited States-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학교실)-
dc.contributor.googleauthorYoung H. Kim-
dc.contributor.googleauthorSanjay Saini-
dc.contributor.googleauthorMichael A. Blake-
dc.contributor.googleauthorMukesh Harisinghani-
dc.contributor.googleauthorYi-You Chiou-
dc.contributor.googleauthorWon Jin Lee-
dc.contributor.googleauthorJeong-Sik Yu-
dc.contributor.googleauthorPeter F. Hahn-
dc.identifier.doiOAK-2005-04018-
dc.contributor.localIdA02500-
dc.relation.journalcodeJ01350-
dc.identifier.eissn1532-3145-
dc.identifier.pmid16163021-
dc.identifier.urlhttp://ovidsp.ovid.com/ovidweb.cgi?T=JS&CSC=Y&NEWS=N&PAGE=fulltext&AN=00004728-200509000-00001&LSLINK=80&D=ovft-
dc.subject.keyword16163021-
dc.contributor.alternativeNameYu, Jeong Sik-
dc.citation.volume29-
dc.citation.number5-
dc.citation.startPage571-
dc.citation.endPage579-
dc.identifier.bibliographicCitationJOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, Vol.29(5) : 571-579, 2005-
dc.date.modified2017-05-04-
dc.identifier.rimsid42845-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.