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首页> 外文期刊>Journal of Ovarian Research >Diagnostic extended usefulness of RMI: comparison of four risk of malignancy index in preoperative differentiation of borderline ovarian tumors and benign ovarian tumors
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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

机译:RMI的诊断延长有用性:术前分化术前分化的四种恶性指数风险的比较,卵巢肿瘤

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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. 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. 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. 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.
机译:本研究旨在审查在日常临床实践中歧视边缘卵巢肿瘤(机器人)和良性卵巢肿块的恶性指数(RMI)的绩效。从2012年1月到2016年1月,在2016年1月至2016年12月诊断患有162名患有BOTS和379名患有良性卵巢肿瘤的妇女,均注册了2016年至12月的哈尔滨医科大学附属第二届。此外,我们将这些患者分类为浆液边缘卵巢肿瘤(SBOT)和粘液边缘卵巢肿瘤(MBOT)亚组。审查术前超声检查结果,癌症抗原125(CA125)和更年期状态。计算接收器操作员特征曲线(ROC)曲线(AUC)的区域,并计算RMI I,RMI II,RMI III和RMI IV的性能指标,并比较良性卵巢肿瘤和机器人的歧视。在BOTS组中的四个RMI中,RMI I拥有最高的AUC(0.825,95%CI:0.790-0.856)。在SBOT(0.839,95%CI:0.804-0.871)和MBOT(0.791,95%CI:0.749-0.829)亚组中,发现了类似的结果。 RMI I在机器人组中具有最高的特异性(87.6,95%CI:83.9-90.7%),SBOT(87.6,95%CI:83.9-90.7%)和MBOT组(87.6,95%CI:83.9-90.7% )。 RMI II在机器人组(69.75,95%CI:62.1-76.7%),SBOT(74.34,95%CI:65.3-82.1%)和MBOT(59.18,95%CI:44.2)中得分最高-73.0%)组。与其他RMI相比,RMI I是从良性卵巢肿瘤中分化机器人的最佳方法。与此同时,RMI我也在良性卵巢肿瘤的歧视SBOT中表现最佳。

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