2016
DOI: 10.7314/apjcp.2016.17.4.2177
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Predictive Value of Malignancy Risk Indices for Ovarian Masses in Premenopausal and Postmenopausal Women

Abstract: Background: To evaluate the predictive role of a risk of malignancy index in discriminating between benign and malignant adnexal masses preoperatively. Materials and Methods: A total of 408 patients with adnexal masses managed surgically between January 2010 and February 2014 were included. The risk of malignancy indices (RMI) 1, 2, 3 and 4 were calculated using findings for ultrasonography, menopausal status, and CA125 levels. Histopathologic results were the end point. ROC analysis was used for the sensitivi… Show more

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Cited by 6 publications
(8 citation statements)
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References 30 publications
(15 reference statements)
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“…10,11,18,[21][22][23][24][25][26][27][28][29][30][31] The specificity index of RMI 3 and 4 in the present study (94% and 92%) respectively is comparable to Ertas (Table 6). 11,12,19,[25][26][27][28] The (Table 7). 10,19,23,25 The NPV of RMI 3 and 4 in the present study (81.03% and 83.63%) is comparable to Kumari N et al, (84.37%), Insin P et al, (80%), Mooltiya et al, (80.6% and 85.1%) studies (Table 8).…”
Section: Resultsmentioning
confidence: 52%
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“…10,11,18,[21][22][23][24][25][26][27][28][29][30][31] The specificity index of RMI 3 and 4 in the present study (94% and 92%) respectively is comparable to Ertas (Table 6). 11,12,19,[25][26][27][28] The (Table 7). 10,19,23,25 The NPV of RMI 3 and 4 in the present study (81.03% and 83.63%) is comparable to Kumari N et al, (84.37%), Insin P et al, (80%), Mooltiya et al, (80.6% and 85.1%) studies (Table 8).…”
Section: Resultsmentioning
confidence: 52%
“…Mixed serous and mucinous carcinoma, immature teratoma, mixed germ cell tumour, clear cell carcinoma, dysgerminoma and borderline tumors each were seen in 1 (3.44%) case. 25 91.5%…”
Section: Resultsmentioning
confidence: 99%
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“…Serum samples were taken to measure the levels of CA-125 (U/mL) (Roche, L1633034). RMI and IOTA SR were then determined (3,10,13,15,16).…”
Section: Methodsmentioning
confidence: 99%
“…The presence or absence of these typical features can be used to classify a tumor as benign, malignant, or, in case both or none of these features are present, inconclusive. The IOTA SR model achieves both high sensitivity and specificity in recent studies, and therefore discriminates well between benign and malignant ovarian tumors than the RMI (1)(2)(3)(10)(11)(12)(13)(14). However, most of the IOTA SR studies have been performed by expert sonographers.…”
Section: Introductionmentioning
confidence: 99%