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作 者:齐阳柳 卢学峰[1] Qi Yangliu;Lu Xuefeng(Department of Ultrasound,The Second Affiliated Hospital of Zhengzhou University,Zhengzhou,Henan 450000,China)
机构地区:[1]郑州大学第二附属医院超声科,河南郑州450000
出 处:《影像研究与医学应用》2021年第14期7-9,共3页Journal of Imaging Research and Medical Applications
基 金:河南省医学科技攻关项目资助课题(201503103)。
摘 要:目的:评价恶性肿瘤风险指数(risk of malignancy index,RMI)结合超声专家评估对卵巢良恶性肿瘤鉴别诊断中的应用价值。方法:选取2019年8月-2020年8月收治于郑州大学第二附属医院妇科病房的卵巢肿瘤患者207例,利用RMI评分标准进行评分,以200为阈值,以病理结果为金标准,计算该评分系统的灵敏度、特异度、阳性预测值与阴性预测值;对于RMI评分小于200且超声评分为3分的患者由妇科超声专家再次评估,对比RMI评分标准,探讨其临床应用价值。结果:RMI评分标准的灵敏度与特异度分别为78.72%(37/47)、87.18%(136/156),阳性预测值与阴性预测值分别为64.91%(37/57)、93.15%(136/146);结合超声专家评估与单纯应用RMI评分标准相比灵敏度提高,特异度无明显差异。结论:RMI评分标准结合超声专家评估两步模型可以提高卵巢恶性肿瘤的检出率,对临床处理方式的选择有较好的指导意义。Objective To evaluate the application value of RMI(Risk of Malignancy Index)in the differential diagnosis of ovarian benign and malignant tumors combined with ultrasound expert assessment.Methods 207 ovarian tumor patients in the gynecological ward of the Second Affiliated Hospital of Zhengzhou University from August 2019 to August 2020 were selected and scored using RMI scoring standard,with 200 as the threshold and pathological results as the gold standard for calculation The sensitivity,specificity,positive predictive value and negative predictive value of the scoring system;For patients with RMI less than 200 and ultrasound score of 3 points,gynecological ultrasound experts will re-evaluate,compare RMI scoring system,and explore its clinical application value.Results The sensitivity and specificity of the RMI scoring standard were 78.72%(37/47),87.18%(136/156),and the positive predictive value and negative predictive value were 64.91%(37/57),93.15%(136/146);Compared with RMI,the two-step model combined with the assessment of ultrasound experts has improved sensitivity and no significant difference in specificity.Conclusion RMI combined with ultrasound expert assessment of the two-step model can increase the detection rate of ovarian malignant tumors,and has a good guiding significance for the choice of clinical treatment.
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