A Prospective Study to Evaluate the Predictivity of Risk Malignancy Index in Adnexal Masses

Narin Yar Elmastas, M. Obut, S. Tunc
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Abstract

OBJECTIVE: To evaluate the efficiency of CA-125, menopausal status, ultrasound features and risk malignancy index in predicting malignancy in patients with an adnexal mass.STUDY DESIGN: This study was designed prospectively and 212 patients who applied to our hospital and met the study criteria were included. Preoperatively RMI value was calculated for the differentiation of benign from malignant patients. The diagnosis was confirmed by histopathology. Kolmogorov-Smirnov, Yates correction, Pearson Chi-Square and Student's t-test were used for statistical analysis. ROC curves were drawn as diagnostic tests and the test results were presented.RESULTS: Of 212 patients included in our study, 174 (82%) patients’ were reported as benign, 6 (3%) borderline and 32 (15%) malignant. In predicting malignancy, the malignity risk index with 200 cutoff value the sensitivity and specivity was 87% and 80% respectively. However, when the cutoff value of malignity risk index taken as 112, the sensitivity was unchanged but the specificity increased to 90%. Similarly, when CA-125's cutoff value was taken as 46U/mL, the sensitivity did not change but the specificity increased from 68% to 72%.CONCLUSION: Malignancy risk index is a method that has high sensitivity and specificity. Preoperative-op RMI calculation can provide accurate predictions for the establishment of an appropriate surgical plan for pelvic masses or referral to tertiary centers.
评估附件肿物恶性危险指数预测的前瞻性研究
目的:评价CA-125、绝经状态、超声特征和危险恶性指数在预测附件肿块患者恶性肿瘤中的作用。研究设计:本研究采用前瞻性设计,纳入212例向我院申请并符合研究标准的患者。术前计算RMI值用于区分良恶性患者。经组织病理学证实。采用Kolmogorov-Smirnov、Yates校正、Pearson Chi-Square和Student's t检验进行统计分析。绘制ROC曲线作为诊断试验,并给出试验结果。结果:纳入我们研究的212例患者中,174例(82%)为良性,6例(3%)为交界性,32例(15%)为恶性。在预测恶性肿瘤时,临界值为200的恶性风险指数的敏感性为87%,特异性为80%。而当恶性风险指数临界值为112时,敏感性不变,特异性提高到90%。同样,当CA-125的截止值为46U/mL时,灵敏度没有变化,但特异性从68%增加到72%。结论:恶性肿瘤危险指数是一种敏感性和特异性较高的方法。术前RMI计算可以为制定合适的骨盆肿块手术计划或转诊到三级中心提供准确的预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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