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Spontaneous prolapse of pedunculated uterine submucosal leiomyoma: usefulness of broccoli sign on CT and MR imaging

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dc.contributor.authorKim, Jin Woo-
dc.contributor.authorLee, Chang Hee-
dc.contributor.authorKim, Kyeong Ah-
dc.contributor.authorPark, Cheol Min-
dc.date.accessioned2021-09-09T08:50:29Z-
dc.date.available2021-09-09T08:50:29Z-
dc.date.created2021-06-10-
dc.date.issued2008-05-
dc.identifier.issn0899-7071-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/123638-
dc.description.abstractWe report the case of a patient who presented with a bulky perineal mass expelled from the introitus. Computed tomography and magnetic resonance (MR) imaging revealed that it was prolapsed submucosal uterine leiomyoma. It is unusual that submucosal leiomyoma is expelled to the perineum, but the MR imaging findings were characteristic and had a "broccoli-like" appearance. Familiarity with this appearance may be helpful in diagnosing prolapsed leiomyoma which is uncommon but has characteristic imaging feature. (C) 2008 Elsevier Inc. All rights reserved.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherELSEVIER SCIENCE INC-
dc.subjectDIAGNOSIS-
dc.titleSpontaneous prolapse of pedunculated uterine submucosal leiomyoma: usefulness of broccoli sign on CT and MR imaging-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, Chang Hee-
dc.contributor.affiliatedAuthorKim, Kyeong Ah-
dc.contributor.affiliatedAuthorPark, Cheol Min-
dc.identifier.doi10.1016/j.clinimag.2007.12.002-
dc.identifier.scopusid2-s2.0-43949111999-
dc.identifier.wosid000256695800013-
dc.identifier.bibliographicCitationCLINICAL IMAGING, v.32, no.3, pp.233 - 235-
dc.relation.isPartOfCLINICAL IMAGING-
dc.citation.titleCLINICAL IMAGING-
dc.citation.volume32-
dc.citation.number3-
dc.citation.startPage233-
dc.citation.endPage235-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.subject.keywordPlusDIAGNOSIS-
dc.subject.keywordAuthoruterus-
dc.subject.keywordAuthorCT-
dc.subject.keywordAuthorMRI-
dc.subject.keywordAuthortumor-
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