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- W2895860799 abstract "Objective: To compare diagnostic performance of International
 Ovarian Tumor Analysis (IOTA) scoring method with Risk of Malignancy
 Index-4 (RMI-4) and Sassone Morphology Index to predict
 ovarian malignancy preoperatively.
 Method: Retrospective study with 119 subject who underwent surgical
 removal of ovarian tumor and performed histopathological
 examination at Dr. Cipto Mangunkusumo Hospital on January to
 December 2013. Demographic status, ultrasound scans, CA-125
 level and histopathological result were collected to calculate the
 score of each method. Sensitivity, specificity, positive predictive
 value, negative predictive value and accuracy were calculated by
 comparing each score with histopathology result. Comparison of
 diagnostic performance was analyzed by ROC curve.
 Result: There were 51.26% subjects with benign tumor and 48.74%
 subjects with malignant tumor. Result was analyzed with sensitivity
 test (IOTA simple-rules, IOTA subgroup, RMI-4 and Sassone): 98%,
 88%, 86% and 79%; specificity: 74%, 67%, 61% and 89%; positive
 predictive value: 78%, 72%, 68% and 87%; negative predictive
 value: 98%, 85%, 82% and 81%; and accuracy: 86%, 77%, 73% and
 84%. AUC value for IOTA simple-rules, IOTA subgroup, RMI-4 and
 Sassone were: 0.86, 0.78, 0.73 and 0.84. Comparison of these results
 were significant with p = 0.000.
 Conclusion: IOTA simple-rules had better sensitivity, negative predictive
 value and accuracy than IOTA subgroup, RMI-4 and Sassone
 morphology index to predict ovarian malignancy preoperatively.
 [Indones J Obstet Gynecol 2016; 1: 42-46]
 Keywords: iota, ovarian neoplasm, risk of malignancy, scoring" @default.
- W2895860799 created "2018-10-26" @default.
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- W2895860799 date "2016-10-14" @default.
- W2895860799 modified "2023-09-24" @default.
- W2895860799 title "International Ovarian Tumor Analysis (IOTA) Scoring System to Predict Ovarian Malignancy Preoperatively" @default.
- W2895860799 doi "https://doi.org/10.32771/inajog.v4i1.71" @default.
- W2895860799 hasPublicationYear "2016" @default.
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