Adilgereyeva Akmaral S, Abdelazim Ibrahim A, Zhurabekova Gulmira A, El-Ghazaly Tamer E
Department of Normal and Topographical Anatomy, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
Department of Obstetrics and Gynaecology, Ain Shams University, Cairo, Egypt.
Prz Menopauzalny. 2022 Jun;21(2):81-91. doi: 10.5114/pm.2022.116402. Epub 2022 May 24.
To detect the morphological parameters of ovarian masses and the accuracy of the risk of mali-gnancy index (RMI) in diagnosing ovarian malignancy.
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.
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%), ( = 0.0008, and = 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, < 0.001). There was significant positive correlation between the participants' age, and RMI ( = 0.001), and between participants' cancer antigen-125 (CA-125) and RMI ( < 0.0001) in the ovarian malignancy group.
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.
检测卵巢肿块的形态学参数以及恶性风险指数（RMI）诊断卵巢恶性肿瘤的准确性。
本研究纳入了3组（生殖期、绝经前和绝经后）共264例出现卵巢肿块并计划接受手术的女性。将参与者术前的RMI与术后组织学检查结果（金标准）进行比较，以检测RMI诊断卵巢恶性肿瘤的准确性。
生殖期组卵巢恶性肿瘤和良性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%。绝经前组（35.2%）和绝经后组（35.2%）卵巢恶性肿瘤的发生率显著高于生殖期组（9.1%）（分别为P = 0.0008和P = 0.0008）。受试者工作特征曲线显示，在3个研究组中，临界值> 247.5时，RMI诊断卵巢恶性肿瘤的灵敏度为82.9%，特异度为100%，阳性预测值（PPV）为100%，阴性预测值（NPV）为98.1%（曲线下面积0.955，P < 0.001）。在卵巢恶性肿瘤组中，参与者年龄与RMI之间存在显著正相关（P = 0.001），参与者癌抗原125（CA - 125）与RMI之间也存在显著正相关（P < 0.0001）。
多模式RMI是对疑似卵巢肿块进行初步评估的有效工具。临界值> 247.5时的恶性风险指数在3个研究组中诊断卵巢恶性肿瘤的表现最佳（灵敏度82.9%，特异度100%，PPV 100%，NPV 98.1%）。在所研究的卵巢恶性肿瘤中，参与者年龄与RMI之间以及参与者CA - 125与RMI之间存在显著正相关。
