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dc.contributor.authorTheera Tongsongen_US
dc.contributor.authorSuchaya Luewanen_US
dc.contributor.authorPodjanee Phadungkiatwattanaen_US
dc.contributor.authorVithida Neeyalaviraen_US
dc.contributor.authorChanane Wanapiraken_US
dc.contributor.authorSurapan Khunamornpongen_US
dc.contributor.authorKornkanok Sukpanen_US
dc.date.accessioned2018-09-10T03:47:08Z-
dc.date.available2018-09-10T03:47:08Z-
dc.date.issued2008-01-01en_US
dc.identifier.issn00207292en_US
dc.identifier.other2-s2.0-53149098586en_US
dc.identifier.other10.1016/j.ijgo.2008.06.002en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=53149098586&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/60682-
dc.description.abstractObjective: To determine the validity of sonographic pattern recognition in the diagnosis of mature cystic teratoma. Methods: Consecutive patients scheduled for elective surgery for adnexal masses were included in the study. All patients underwent transabdominal ultrasound with color extended-flow mapping within 24 hours prior to surgery. Examinations were performed by the same sonographer to identify benign cystic teratoma. The final diagnoses were based on histopathologic findings. Results: A total of 329 consecutive patients were recruited; 23 were excluded because the masses were not adnexal masses. Of the remaining 306 patients, 36 masses were found to be mature cystic teratomas and 270 were nonteratomas. Sonographic pattern recognition showed a sensitivity of 94.4% and a specificity of 98.2%. Conclusion: Sonographic pattern recognition using transabdominal ultrasound with color extended-flow mapping can accurately diagnose mature cystic teratoma. © 2008 International Federation of Gynecology and Obstetrics.en_US
dc.subjectMedicineen_US
dc.titlePattern recognition using transabdominal ultrasound to diagnose ovarian mature cystic teratomaen_US
dc.typeJournalen_US
article.title.sourcetitleInternational Journal of Gynecology and Obstetricsen_US
article.volume103en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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