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Accuracy in Differentiation of Mucinous and Nonmucinous Rectal Carcinoma on MR Imaging

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dc.contributor.author김남규-
dc.contributor.author김명진-
dc.contributor.author김원호-
dc.contributor.author김주희-
dc.contributor.author박영년-
dc.date.accessioned2015-07-15T16:44:50Z-
dc.date.available2015-07-15T16:44:50Z-
dc.date.issued2003-
dc.identifier.issn0363-8715-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/113517-
dc.description.abstractPURPOSE: The purpose of this work was to determine the diagnostic accuracy of MRI for the differentiation of mucinous and nonmucinous carcinomas in patients with rectal carcinomas. METHOD: Seventy-six patients with pathologically proven rectal adenocarcinomas were evaluated with MRI. Both T2-weighted fast spin echo and T1-weighted spin echo images were independently reviewed by two radiologists who were blinded for tumor histology. Of the 76 cases, mucin pools were found in 28 (37%), and 16 had a mucin pool occupying >or=50% of the tumor (mucinous carcinoma). The sensitivity, specificity, accuracy, and positive and negative predictive values of distinguishing between mucinous and nonmucinous carcinomas were calculated. The interobserver agreement was estimated using kappa statistics. RESULTS: The accuracies of the diagnosis of mucinous carcinoma were 97% for Radiologist 1 and 96% for Radiologist 2. The sensitivities and specificities for diagnosing a mucinous carcinoma were 94 and 98% for Radiologist 1 and 100 and 95% for Radiologist 2, respectively. Interobserver agreement was good (kappa = 0.61) for the identification of a mucin pool and was excellent (kappa = 0.81) for the diagnosis of a mucinous carcinoma. CONCLUSION: Differentiation of mucinous and nonmucinous rectal carcinoma is highly accurate on preoperative MRI.-
dc.description.statementOfResponsibilityopen-
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.MESHAdenocarcinoma/diagnosis*-
dc.subject.MESHAdenocarcinoma, Mucinous/diagnosis*-
dc.subject.MESHAdult-
dc.subject.MESHAged-
dc.subject.MESHAged, 80 and over-
dc.subject.MESHDiagnosis, Differential-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHMagnetic Resonance Imaging*-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHObserver Variation-
dc.subject.MESHPredictive Value of Tests-
dc.subject.MESHRectal Neoplasms/diagnosis*-
dc.subject.MESHRectum/pathology-
dc.subject.MESHRetrospective Studies-
dc.subject.MESHSensitivity and Specificity-
dc.titleAccuracy in Differentiation of Mucinous and Nonmucinous Rectal Carcinoma on MR Imaging-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학)-
dc.contributor.googleauthorMyeong-Jin Kim-
dc.contributor.googleauthorJeong Seon Park-
dc.contributor.googleauthorWon Ho Kim-
dc.contributor.googleauthorYoung Nyun Park-
dc.contributor.googleauthorHee Jung Moon-
dc.contributor.googleauthorJoo Hee Kim-
dc.contributor.googleauthorNam Kyu Kim-
dc.contributor.googleauthorSung Il Park-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA00353-
dc.contributor.localIdA00426-
dc.contributor.localIdA00774-
dc.contributor.localIdA01563-
dc.contributor.localIdA00951-
dc.relation.journalcodeJ01350-
dc.identifier.eissn1532-3145-
dc.identifier.pmid12544243-
dc.identifier.urlhttp://ovidsp.ovid.com/ovidweb.cgi?T=JS&CSC=Y&NEWS=N&PAGE=fulltext&AN=00004728-200301000-00010&LSLINK=80&D=ovft-
dc.subject.keywordMagnetic resonance imaging-rectum-Neoplasms-
dc.subject.keywordrectal-adenocarcinoma-
dc.subject.keywordmucinous-
dc.contributor.alternativeNameKim, Nam Kyu-
dc.contributor.alternativeNameKim, Myeong Jin-
dc.contributor.alternativeNameKim, Won Ho-
dc.contributor.alternativeNameKim, Joo Hee-
dc.contributor.alternativeNamePark, Young Nyun-
dc.contributor.affiliatedAuthorKim, Nam Kyu-
dc.contributor.affiliatedAuthorKim, Myeong Jin-
dc.contributor.affiliatedAuthorKim, Won Ho-
dc.contributor.affiliatedAuthorPark, Young Nyun-
dc.contributor.affiliatedAuthorKim, Joo Hee-
dc.rights.accessRightsnot free-
dc.citation.volume27-
dc.citation.number1-
dc.citation.startPage48-
dc.citation.endPage55-
dc.identifier.bibliographicCitationJOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, Vol.27(1) : 48-55, 2003-
dc.identifier.rimsid52178-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers

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