Sonographic morphology scores (SMS) for differentiation between benign and malignant ovarian tumor
The objectives of this cross-sectional descriptive analysis are to determine the sensitivity and specificity of sonographic morphology scores (SMS) in distinguishing between benign and malignant ovarian tumors and to determine the best cut-off score. The study was conducted at the Department of Obst...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2014
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| Online Access: | http://www.scopus.com/inward/record.url?eid=2-s2.0-0035229236&partnerID=40&md5=775592aac3fe4c0146a4ece68a9c0a42 http://www.ncbi.nlm.nih.gov/pubmed/11281497 http://cmuir.cmu.ac.th/handle/6653943832/2054 |
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| Institution: | Chiang Mai University |
| Language: | English |
| Summary: | The objectives of this cross-sectional descriptive analysis are to determine the sensitivity and specificity of sonographic morphology scores (SMS) in distinguishing between benign and malignant ovarian tumors and to determine the best cut-off score. The study was conducted at the Department of Obstetrics and Gynecology, Faculty of Medicine, Chiang Mai University. Two hundred and forty eight nonpregnant patients scheduled for elective surgery for ovarian tumors between July, 1996 and March, 1998 were recruited into the study and were sonographically examined in 24 hours of surgery by the same sonographer to evaluate inner wall structure, wall thickness, septum, echogenicity and score of the tumors. The final diagnosis was pathologically confirmed as the gold standard. It was found that the score of 9 from reciever operating characteristic curve was the best cut-off score, giving the sensitivity of 93.1 per cent and specificity of 75.6 per cent. In conclusion, the SMS system is probably useful in distinguishing ovarian malignancy from benign ovarian tumor. |
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