首页> 外文期刊>International Journal of Reproduction, Contraception, Obstetrics and Gynecology >Role of risk of malignancy index for evaluation and preoperative detection of pelvic malignancies compared with pathological diagnosis
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Role of risk of malignancy index for evaluation and preoperative detection of pelvic malignancies compared with pathological diagnosis

机译:恶性指数风险的作用与病理诊断相比骨盆恶性肿瘤的评估和术前检测

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Background: Risk of malignancy index (RMI) is widely employed in the developed world in predicting malignant pelvic masses. The present study designed to confirm the effectiveness of the RMI to identify cases with high potential of ovarian malignancy, among patients with an adnexal mass. Methods: This was a cross-sectional study was conducted over a period of two years in a government run tertiary healthcare centre of Srinagar, Kashmir, Jammu and Kashmir, India. Study included 72 patients who underwent surgery due to adnexal mass and were evaluated for ovarian malignancy by comparing RMI with histopathological diagnosis. Data collected included demographic characteristics, ultrasound findings, menopausal status, CA125 levels, and histopathological diagnosis. For each patient, RMI was calculated as per the standard formula. Results: Analysis revealed ultrasound score had the highest sensitivity of 72.7%, while an RMI score ≥250 had the highest specificity of 88.5%. The latter also had the highest positive predictive value of 50%, while negative predictive value was highest for an ultrasound score of 3 (94%). The cut off points based on ROC analysis demonstrates significant predictive ability for ovarian cancer for both RMI and CA125 with AUC to the tune of 82.9% and 80.1% respectively. Conclusions: RMI is a simple score system which can be applied directly into clinical practice and might be of value in pre-operative assessment, and hence selecting patients who need surgical team including gynecologic oncologists.
机译:背景:恶性指数(RMI)的风险在预测恶性骨盆群众的发达世界中被广泛使用。本研究旨在确认RMI的有效性,以识别具有卵巢恶性肿瘤患者的高潜力,患者患者患者。方法:这是一项横断面研究,在苏丹加尔,克什米尔,克什米尔和克什米尔,印度的政府运行三年内进行两年。研究包括72名患者因腺苷肿块而接受手术,并通过比较RMI与组织病理学诊断进行卵巢恶性肿瘤。收集的数据包括人口特征,超声检查,更年期状态,CA125水平和组织病理学诊断。对于每位患者,根据标准公式计算RMI。结果:分析显示超声评分的最高敏感性72.7%,而RMI评分≥250的特异性最高为88.5%。后者的阳性预测值最高为50%,而超声评分为3(94%),负面预测值最高。基于ROC分析的切断点分别显示了RMI和CA125的卵巢癌的显着预测能力,分别为82.9%和80.1%。结论:RMI是一个简单的评分系统,可以直接应用于临床实践,并且可能在术前评估中具有价值,因此选择需要在包括妇科肿瘤科学家在内的外科团队的患者。

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