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Diagnostic extended usefulness of RMI: comparison of four risk of malignancy index in preoperative differentiation of borderline ovarian tumors and benign ovarian tumors.

Abstract：

BACKGROUND:This study aimed to examine the performance of the four risk of malignancy index (RMI) in discriminating borderline ovarian tumors (BOTs) and benign ovarian masses in daily clinical practice. METHODS:A total of 162 women with BOTs and 379 women with benign ovarian tumors diagnosed at the Second Affiliated Hospital of Harbin Medical University from January 2012 to December 2016 were enrolled in this retrospective study. Also, we classified these patients into serous borderline ovarian tumor (SBOT) and mucinous borderline ovarian tumor (MBOT) subgroup. Preoperative ultrasound findings, cancer antigen 125 (CA125) and menopausal status were reviewed. The area under the curve (AUC) of receiver operator characteristic curves (ROC) and performance indices of RMI I, RMI II, RMI III and RMI IV were calculated and compared for discrimination between benign ovarian tumors and BOTs. RESULTS:RMI I had the highest AUC (0.825, 95% CI: 0.790-0.856) among the four RMIs in BOTs group. Similar results were found in SBOT (0.839, 95% CI: 0.804-0.871) and MBOT (0.791, 95% CI: 0.749-0.829) subgroups. RMI I had the highest specificity among the BOTs group (87.6, 95% CI: 83.9-90.7%), SBOT (87.6, 95% CI: 83.9-90.7%) and MBOT group (87.6, 95% CI: 83.9-90.7%). RMI II scored the highest overall in terms of sensitivity among the BOTs group (69.75, 95% CI: 62.1-76.7%), SBOT (74.34, 95% CI: 65.3-82.1%) and MBOT (59.18, 95% CI: 44.2-73.0%) group. CONCLUSION:Compared to other RMIs, RMI I was the best-performed method for differentiation of BOTs from benign ovarian tumors. At the same time, RMI I also performed best in the discrimination SBOT from benign ovarian tumors.

journal_name

J Ovarian Res

journal_title

Journal of ovarian research

authors

Zhang S,Yu S,Hou W,Li X,Ning C,Wu Y,Zhang F,Jiao YF,Lee LTO,Sun L

doi

10.1186/s13048-019-0568-3

subject

Has Abstract

pub_date

2019-09-16 00:00:00

pages

87

issue

1

issn

1757-2215

pii

10.1186/s13048-019-0568-3

journal_volume

12

pub_type

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