卵巢恶性肿瘤诊断中的恶性风险指数（RMI）
The risk of malignancy index (RMI) in diagnosis of ovarian malignancy.
作者信息
Moolthiya Watcharada, Yuenyao Pissamai
机构信息
Department of Obstetrics and Gynecology, Srinagarind Hospital, Khon Kaen University, Thailand.
出版信息
Asian Pac J Cancer Prev. 2009;10(5):865-8.
OBJECTIVE
To evaluate the ability of two risk of malignancy indices (RMI) based on serum levels of CA 125, ultrasonographic score, and menopausal status to discriminate between benign and borderline or malignant ovarian tumor.
MATERIALS AND METHODS
A retrospective study was conducted in 209 women with pelvic masses admitted for laparotomy at Srinagarind Hospital, between January 2002 and December 2007. The sensitivity, specificity and positive predictive (PPV) and negative predictive (NPV) values of two RMI were calculated.
RESULTS
Using a cut-off level of 200 to indicate malignancy, the RMI 1 gave sensitivity of 70.6%, specificity of 83.9%, PPV of 75%, and NPV of 80.6%. The RMI 2 gave sensitivity of 80%, specificity of 78.2%, PPV of 71.6%, and NPV of 85.1%. The RMI 2 was significantly better in predicting malignancy than RMI 1.
CONCLUSION
The RMI is able to discriminate between benign and borderline or malignant ovarian tumor.
目的
评估基于血清CA 125水平、超声评分和绝经状态的两种恶性风险指数（RMI）区分卵巢良性肿瘤与交界性或恶性肿瘤的能力。
材料与方法
对2002年1月至2007年12月在诗里拉吉医院接受剖腹手术的209例盆腔肿块女性患者进行回顾性研究。计算两种RMI的敏感性、特异性、阳性预测值（PPV）和阴性预测值（NPV）。
结果
以200为恶性临界值时，RMI 1的敏感性为70.6%，特异性为83.9%，PPV为75%，NPV为80.6%。RMI 2的敏感性为80%，特异性为78.2%，PPV为71.6%，NPV为85.1%。RMI 2在预测恶性肿瘤方面显著优于RMI 1。
结论
RMI能够区分卵巢良性肿瘤与交界性或恶性肿瘤。
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