Morphological parameters of ovarian masses and accuracy of the risk of malignancy index in diagnosing ovarian malignancy.

IF 2.5 Q2 OBSTETRICS & GYNECOLOGY Przeglad Menopauzalny Pub Date : 2022-06-01 Epub Date: 2022-05-24 DOI:10.5114/pm.2022.116402

Akmaral S Adilgereyeva, Ibrahim A Abdelazim, Gulmira A Zhurabekova, Tamer E El-Ghazaly

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Abstract

Introduction: To detect the morphological parameters of ovarian masses and the accuracy of the risk of mali-gnancy index (RMI) in diagnosing ovarian malignancy.

Material and methods: 264 women in 3 groups (reproductive, premenopausal, and postmenopausal) presented with ovarian masses and scheduled for surgery were included in this study. The participants' preoperative RMI was compared to the postoperative histology (gold standard) to detect the accuracy of RMI in diagnosing ovarian malignancy.

Results: The incidence of malignant and benign ovarian tumours in the reproductive group was 9.1% and 90.9%, respectively, while it was 35.2% and 64.8%, respectively, in the premenopausal group, and 35.2%, and 64.8%, respectively, in the postmenopausal group. The incidence of malignant ovarian tumours was significantly higher in the premenopausal (35.2%) and postmenopausal (35.2%) groups compared to the reproductive group (9.1%), (p = 0.0008, and p = 0.0008, respectively).The receiver operating characteristic curve showed that RMI at cut-off value > 247.5 had 82.9% sensitivity, 100% specificity, 100% positive predictive value (PPV), and 98.1% negative predictive value (NPV) in diagnosing ovarian malignancy in the 3 studied groups (AUC 0.955, p < 0.001). There was significant positive correlation between the participants' age, and RMI (p = 0.001), and between participants' cancer antigen-125 (CA-125) and RMI (p < 0.0001) in the ovarian malignancy group.

Conclusions: The multimodal RMI is an effective tool for primary evaluation of suspected ovarian masses. Risk malignancy index at cut-off value > 247.5 had the best performance (82.9% sensitivity, 100% specificity, 100% PPV, and 98.1% NPV) in diagnosing ovarian malignancy in the 3 studied groups. There was significant positive correlation between participants' age, and RMI, and between participants' CA-125 and RMI, in the studied malignant ovarian tumours.

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卵巢肿块的形态学参数和恶性肿瘤风险指数诊断卵巢恶性肿瘤的准确性。

简介：目的：检测卵巢肿块的形态学参数以及恶性妊娠风险指数（RMI）诊断卵巢恶性肿瘤的准确性：材料与方法：本研究纳入了3组（生育期、绝经前和绝经后）264名卵巢肿块并计划手术的妇女。将参与者的术前 RMI 与术后组织学（金标准）进行比较，以检测 RMI 诊断卵巢恶性肿瘤的准确性：生殖组恶性和良性卵巢肿瘤的发生率分别为 9.1%和 90.9%，绝经前组分别为 35.2%和 64.8%，绝经后组分别为 35.2%和 64.8%。与生殖组（9.1%）相比，绝经前组（35.2%）和绝经后组（35.2%）的恶性卵巢肿瘤发病率明显较高（分别为 p = 0.0008 和 p = 0.0008）。接收器操作特征曲线显示，截断值大于 247.5 的 RMI 在诊断 3 个研究组的卵巢恶性肿瘤方面具有 82.9% 的敏感性、100% 的特异性、100% 的阳性预测值（PPV）和 98.1% 的阴性预测值（NPV）（AUC 0.955，P < 0.001）。在卵巢恶性肿瘤组中，参与者的年龄与 RMI 存在明显的正相关（p = 0.001），参与者的癌抗原-125（CA-125）与 RMI 存在明显的正相关（p < 0.0001）：结论：多模态 RMI 是对疑似卵巢肿块进行初步评估的有效工具。在 3 个研究组中，截断值大于 247.5 的风险恶性指数在诊断卵巢恶性肿瘤方面表现最佳（敏感性 82.9%、特异性 100%、PPV 100%、NPV 98.1%）。在所研究的恶性卵巢肿瘤中，参与者的年龄与 RMI 之间以及参与者的 CA-125 与 RMI 之间存在明显的正相关。

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