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Diagnostic accuracy of multidetector-row computed tomography for common bile duct calculi: Is it necessary to add non-contrast-enhanced images to contrast-enhanced images?

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dc.contributor.author김기황-
dc.contributor.author박미숙-
dc.contributor.author유정식-
dc.date.accessioned2014-12-21T16:45:05Z-
dc.date.available2014-12-21T16:45:05Z-
dc.date.issued2007-
dc.identifier.issn0363-8715-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/96284-
dc.description.abstractOBJECTIVE: To evaluate the diagnostic accuracy of 16-slice multidetector-row computed tomography (MDCT) for the detection of common bile duct (CBD) stones and to compare the diagnostic values between contrast-enhanced axial with multiplanar reformation (MPR) images and contrast-enhanced combined with non-contrast-enhanced axial images. MATERIALS AND METHODS: Fifty-four patients with suspected CBD stones underwent MDCT and endoscopic retrograde cholangiopancreatography (ERCP). Two radiologists independently evaluated contrast-enhanced axial with MPR images for the presence of CBD stones. Two weeks later, they performed a second review of contrast-enhanced and non-contrast-enhanced axial images. The ERCP was used as the criterion standard to confirm the presence of CBD stones. The McNemar test and receiver operating characteristic curve analysis were used to assess the differences in accuracy for detecting CBD stones. RESULTS: The ERCP identified bile duct stones in 27 patients and no stones in the other 27. Contrast-enhanced axial with MPR images had a sensitivity of 88.9%, specificity of 92.6%, and diagnostic accuracy of 90.7%. Contrast-enhanced combined with non-contrast-enhanced axial images had a sensitivity, specificity, and diagnostic accuracy of 88.9%. However, the difference between the 2 groups was not statistically significant. The areas under the receiver operating characteristic curve of the 2 groups were 0.929 and 0.905, respectively. CONCLUSIONS: The MDCT provides high accuracy in diagnosis for CBD stones. Adding non-contrast-enhanced images to contrast-enhanced images did not improve diagnostic accuracy, and therefore, additional non-contrast-enhanced images are not necessary.-
dc.description.statementOfResponsibilityopen-
dc.format.extent508~512-
dc.relation.isPartOfJOURNAL OF COMPUTER ASSISTED TOMOGRAPHY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAdult-
dc.subject.MESHCholangiopancreatography, Endoscopic Retrograde-
dc.subject.MESHFemale-
dc.subject.MESHGallstones/diagnostic imaging*-
dc.subject.MESHHumans-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHRadiographic Image Enhancement/methods*-
dc.subject.MESHSensitivity and Specificity-
dc.subject.MESHTomography, X-Ray Computed/methods*-
dc.titleDiagnostic accuracy of multidetector-row computed tomography for common bile duct calculi: Is it necessary to add non-contrast-enhanced images to contrast-enhanced images?-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학)-
dc.contributor.googleauthorWoo-Suk Chung-
dc.contributor.googleauthorMi-Suk Park-
dc.contributor.googleauthorKi Whang Kim-
dc.contributor.googleauthorJeong-Sik Yu-
dc.contributor.googleauthorSang-Wook Yoo-
dc.identifier.doi10.1097/01.rct.0000250104.55305.90-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA00345-
dc.contributor.localIdA01463-
dc.contributor.localIdA02500-
dc.relation.journalcodeJ01350-
dc.identifier.eissn1532-3145-
dc.identifier.pmid17882023-
dc.identifier.urlhttp://ovidsp.ovid.com/ovidweb.cgi?T=JS&CSC=Y&NEWS=N&PAGE=fulltext&AN=00004728-200707000-00003&LSLINK=80&D=ovft-
dc.contributor.alternativeNameKim, Ki Whang-
dc.contributor.alternativeNamePark, Mi Sook-
dc.contributor.alternativeNameYu, Jeong Sik-
dc.contributor.affiliatedAuthorKim, Ki Whang-
dc.contributor.affiliatedAuthorPark, Mi-Suk-
dc.contributor.affiliatedAuthorYu, Jeong Sik-
dc.rights.accessRightsnot free-
dc.citation.volume31-
dc.citation.number4-
dc.citation.startPage508-
dc.citation.endPage512-
dc.identifier.bibliographicCitationJOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, Vol.31(4) : 508-512, 2007-
dc.identifier.rimsid35033-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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