目的评价CA125、超声检查、恶性风险指数-3(risk of malignancy index,RMI-3)及恶性风险指数-4(RMI-4)对绝经后卵巢肿瘤的诊断价值。方法回顾性分析2008年1月至2010年2月复旦大学附属妇产科医院手术治疗的绝经后卵巢肿瘤患者186例,比较...目的评价CA125、超声检查、恶性风险指数-3(risk of malignancy index,RMI-3)及恶性风险指数-4(RMI-4)对绝经后卵巢肿瘤的诊断价值。方法回顾性分析2008年1月至2010年2月复旦大学附属妇产科医院手术治疗的绝经后卵巢肿瘤患者186例,比较超声检查、CA125水平及2种RMI对附件肿块良恶性判断的敏感性和特异性。结果 4种指标的敏感性分别为90.7%、54.9%、83.7%和84.9%,特异性分别为93.7%、78.9%、96.8%和93.7%,约登指数(Youden index,YI)分别为0.84、0.34、0.81和0.78。四者的诊断效能两两相比,差异均有统计学意义(P=0.00)。造成各指标假阴性的病例以上皮性肿瘤为主,造成假阳性的病例以性索间质肿瘤为主。结论本研究发现目前2种RMI对绝经后卵巢肿瘤诊断的敏感性及YI均低于血清CA125。鉴于绝经后卵巢肿瘤的特殊性,可能需进一步评估CA125在绝经后卵巢肿瘤中的重要性以提高RMI对其的诊断效能。展开更多
To determine whether ultrasound features can improve the diagnostic performance of tumor markers in distinguishing ovarian tumors,we enrolled 719 patients diagnosed as having ovarian tumors at Nanfang Hospital from Se...To determine whether ultrasound features can improve the diagnostic performance of tumor markers in distinguishing ovarian tumors,we enrolled 719 patients diagnosed as having ovarian tumors at Nanfang Hospital from September 2014 to November 2016.Age,menopausal status,histopathology,the International Federation of Gynecology and Obstetrics(FIGO)stages,tumor biomarker levels,and detailed ultrasound reports of patients were collected.The area under the curve(AUC),sensitivity,and specificity of the bellow-mentioned predictors were analyzed using the receiver operating characteristic curve.Of the 719 patients,531 had benign lesions,119 had epithelial ovarian cancers(EOC),44 had borderline ovarian tumors(BOT),and 25 had non-EOC.AUCs and the sensitivity of cancer antigen 125(CAI25),human epididymis-specific protein 4(HE4),Risk of Ovarian Malignancy Algorithm(ROMA),Risk of Malignancy Index(RMI1),HE4 model,and Rajavithi-Ovarian Cancer Predictive Score(R-OPS)in the overall population were 0.792,0.854,0.856,0.872,0.893,0.852,and 70.2%,56.9%,69.1%,60.6%,77.1%,71.3%,respectively.For distinguishing EOC from benign tumors,the AUCs and sensitivity of the above mentioned predictors were 0.888,0.946,0.947,0.949,0.967,0.966,and 84.0%,79.8%,87.4%,84.9%,90.8%,89.1%,respectively.Their specificity in predicting benign diseases was 72.9%,94.4%,87.6%,95.9%,86.3%,90.8%,respectively.Therefore,we consider biomarkers in combination with ultrasound features may improve the diagnostic performance in distinguishing malignant from benign ovarian tumors.展开更多
Background With the advent of color Doppler flow imaging (CDFI) and technological development of detection of serum tumor markers,new opportunities are presented to the improved risk of malignancy index (RMI) base...Background With the advent of color Doppler flow imaging (CDFI) and technological development of detection of serum tumor markers,new opportunities are presented to the improved risk of malignancy index (RMI) based on Jacobs'research for predicting ovarian malignancy in patients with adnexal masses.Methods One hundred and eighty women with an adnexal mass admitted for primary laparotomy were studied.Tumor specific growth factor (TSGF) adjusted ultrasound scores and the results of Doppler blood flow analysis were obtained before the operation.Based on the parameters which had been studied in Jacobs' research,TSGF levels and the findings of color Doppler flow imaging,the risk of malignancy model was redesigned using a binary Logistic regression model.The diagnostic efficacy of the improved risk of malignancy index (improved RMI) was compared with the Jacobs'model RMI by receiver operator characteristic (ROC) curve.Results The ROC curve showed a higher sensitivity (Mcnamer's test,P 〈0.05) in the discrimination between benign and malignant adnexal masses for the improved RMI than the RMI.Compared with the RMI,the improved RMI had an advantage in prediction of ovarian germ cell tumors and granular cell tumor (28.57% vs.71.43%,P 〈0.05) and the early stage tumors and borderline tumors (33.33% vs.66.67%,P〈0.05).Conclusion The predictability of the improved RMI is better than the classic Jacobs' model,especially in diagnosis of the ovarian germ cell tumors and granular cell tumor and other early stage adnexal tumors.展开更多
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...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。展开更多
Objective To evaluate the ability of a risk of malignancy index (RMI), based on serum CA125 level, ultrasound findings and menopausal status, to discriminate benign from malignant pelvic mass. Methods One hundred and ...Objective To evaluate the ability of a risk of malignancy index (RMI), based on serum CA125 level, ultrasound findings and menopausal status, to discriminate benign from malignant pelvic mass. Methods One hundred and forty women with pelvic masses, at age 30 of years or more were admitted to the Peking Union Medical College Hospital between January 1998 and June 1999. The sensitivity, specificity and positive predictive value of serum CA125 level, ultrasound findings and the menopausal status in diagnosis of ovarian cancer were evaluated separately or combined into the RMI. Results RMI was more accurate than any individual criterion in diagnosing cancer. Using an RMI cutoff level of 200 to indicate malignancy, the RMI derived from this data set gave a sensitivity of 87.3%, a specificity of 84.4%, and a positive predictive value of 82.1%. Conclusions RMI is able to correctly discriminate malignant from benign pelvic mass. It can be introduced easily into clinical practice to facilitate the selection of patients for primary surgery.展开更多
目的观察卵巢-附件报告和数据系统超声2022版(O-RADS US v2022)及其联合恶性风险指数4(RMI4)鉴别附件良、恶性肿瘤的价值。方法回顾性分析126例手术病理诊断为附件肿瘤患者,根据O-RADS US v2022将1~3类归为良性病变、4~5类归为恶性病变,...目的观察卵巢-附件报告和数据系统超声2022版(O-RADS US v2022)及其联合恶性风险指数4(RMI4)鉴别附件良、恶性肿瘤的价值。方法回顾性分析126例手术病理诊断为附件肿瘤患者,根据O-RADS US v2022将1~3类归为良性病变、4~5类归为恶性病变,以450为RMI4分类的临界值,基于二者进行联合分类。以病理结果为金标准,绘制受试者工作特征(ROC)曲线,计算曲线下面积(AUC),评估单一O-RADS US v2022、RMI4及其联合鉴别附件良、恶性肿瘤的效能。结果126例附件肿瘤中,良性94例、恶性32例。O-RADS US v2022鉴别附件良、恶性肿瘤的敏感度、特异度、准确率及AUC分别为78.13%、80.85%和80.16%、0.795,RMI4分别为71.88%、84.04%和80.95%、0.780;二者联合的特异度及准确率(93.62%、92.06%)均高于单一O-RADS US v2022(χ^(2)=7.322、5.967,P=0.007、0.015)或RMI4(χ^(2)=4.625、5.331,P=0.032、0.021),而敏感度及AUC(87.50%、0.906)差异均无统计学意义(P均>0.05)。结论O-RADS US v2022能有效鉴别附件良、恶性肿瘤,联合RMI4可提高鉴别特异度及准确率。展开更多
目的评价恶性危险指数(risk of malignancy index,RMI)在卵巢恶性肿瘤术前诊断中的价值。方法评价我院2001年1月至2005年10月卵巢肿瘤患者112例,取RMI>200,计算RMI及CA125的敏感性、特异性、阳性预测值(PPV)、阴性预测值(NPV)。同时...目的评价恶性危险指数(risk of malignancy index,RMI)在卵巢恶性肿瘤术前诊断中的价值。方法评价我院2001年1月至2005年10月卵巢肿瘤患者112例,取RMI>200,计算RMI及CA125的敏感性、特异性、阳性预测值(PPV)、阴性预测值(NPV)。同时计算卵巢恶性上皮性及非上皮性肿瘤的敏感性、特异性、PPV、NPV。结果RMI诊断卵巢恶性肿瘤的敏感性、特异性、PPV、NPV分别为75%、93%、91%、81%。RMI较CA125单独应用特异性增高。上皮性卵巢恶性肿瘤的敏感性、特异性、PPV、NPV分别为89%、94%、94%、88%,明显高于非上皮性卵巢恶性肿瘤。结论RMI在诊断卵巢恶性肿瘤,尤其是上皮性卵巢恶性肿瘤中具有重要价值,在非上皮性卵巢恶性肿瘤诊断方面尚有一定局限性。展开更多
目的:建立改良恶性风险指数(risk of malignancy index,RMI)模型,评价改良后RMI在卵巢肿瘤术前诊断中的诊断价值。方法:选择214例曾住院接受手术治疗的卵巢肿瘤患者为研究对象,恶性组69例,良性组145例。筛选诊断因子进而改良RMI计算模型...目的:建立改良恶性风险指数(risk of malignancy index,RMI)模型,评价改良后RMI在卵巢肿瘤术前诊断中的诊断价值。方法:选择214例曾住院接受手术治疗的卵巢肿瘤患者为研究对象,恶性组69例,良性组145例。筛选诊断因子进而改良RMI计算模型;绘制改良前后RMI的受试者工作曲线(ROC),参数法对比RMI1~3改良前后的ROC曲线下面积;计算改良后RMI1-3的诊断界值。结果:绝经后状态、多囊、实性、CA125、异常肿瘤特异性生长因子(TSGF)为判断卵巢肿瘤性质的影响因子;增加TSGF改良RMI的计算方法后,RMI1~3的ROC曲线下面积均分别较改良前增加(均P<0.01)。改良后RMI的最佳诊断界值在200左右。结论:RMI经改良后提高了诊断效能,值得向临床推荐。展开更多
基金grants from Guangdong Science and Technology Department of China(No.2016A020215115)Science and Technology Bureau of Tianhe District,Guangzhou,Guangdong(No.201604KW010)Science and Technology Bureau of Huadu District,Guangzhou,Guangdong(No.HD15CXY006).
文摘To determine whether ultrasound features can improve the diagnostic performance of tumor markers in distinguishing ovarian tumors,we enrolled 719 patients diagnosed as having ovarian tumors at Nanfang Hospital from September 2014 to November 2016.Age,menopausal status,histopathology,the International Federation of Gynecology and Obstetrics(FIGO)stages,tumor biomarker levels,and detailed ultrasound reports of patients were collected.The area under the curve(AUC),sensitivity,and specificity of the bellow-mentioned predictors were analyzed using the receiver operating characteristic curve.Of the 719 patients,531 had benign lesions,119 had epithelial ovarian cancers(EOC),44 had borderline ovarian tumors(BOT),and 25 had non-EOC.AUCs and the sensitivity of cancer antigen 125(CAI25),human epididymis-specific protein 4(HE4),Risk of Ovarian Malignancy Algorithm(ROMA),Risk of Malignancy Index(RMI1),HE4 model,and Rajavithi-Ovarian Cancer Predictive Score(R-OPS)in the overall population were 0.792,0.854,0.856,0.872,0.893,0.852,and 70.2%,56.9%,69.1%,60.6%,77.1%,71.3%,respectively.For distinguishing EOC from benign tumors,the AUCs and sensitivity of the above mentioned predictors were 0.888,0.946,0.947,0.949,0.967,0.966,and 84.0%,79.8%,87.4%,84.9%,90.8%,89.1%,respectively.Their specificity in predicting benign diseases was 72.9%,94.4%,87.6%,95.9%,86.3%,90.8%,respectively.Therefore,we consider biomarkers in combination with ultrasound features may improve the diagnostic performance in distinguishing malignant from benign ovarian tumors.
基金This study was supported by grants from the Shandong Province Science Foundation for Key Programs (No.2009GG10002043,No.Y2008C104).
文摘Background With the advent of color Doppler flow imaging (CDFI) and technological development of detection of serum tumor markers,new opportunities are presented to the improved risk of malignancy index (RMI) based on Jacobs'research for predicting ovarian malignancy in patients with adnexal masses.Methods One hundred and eighty women with an adnexal mass admitted for primary laparotomy were studied.Tumor specific growth factor (TSGF) adjusted ultrasound scores and the results of Doppler blood flow analysis were obtained before the operation.Based on the parameters which had been studied in Jacobs' research,TSGF levels and the findings of color Doppler flow imaging,the risk of malignancy model was redesigned using a binary Logistic regression model.The diagnostic efficacy of the improved risk of malignancy index (improved RMI) was compared with the Jacobs'model RMI by receiver operator characteristic (ROC) curve.Results The ROC curve showed a higher sensitivity (Mcnamer's test,P 〈0.05) in the discrimination between benign and malignant adnexal masses for the improved RMI than the RMI.Compared with the RMI,the improved RMI had an advantage in prediction of ovarian germ cell tumors and granular cell tumor (28.57% vs.71.43%,P 〈0.05) and the early stage tumors and borderline tumors (33.33% vs.66.67%,P〈0.05).Conclusion The predictability of the improved RMI is better than the classic Jacobs' model,especially in diagnosis of the ovarian germ cell tumors and granular cell tumor and other early stage adnexal tumors.
文摘目的: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。
文摘Objective To evaluate the ability of a risk of malignancy index (RMI), based on serum CA125 level, ultrasound findings and menopausal status, to discriminate benign from malignant pelvic mass. Methods One hundred and forty women with pelvic masses, at age 30 of years or more were admitted to the Peking Union Medical College Hospital between January 1998 and June 1999. The sensitivity, specificity and positive predictive value of serum CA125 level, ultrasound findings and the menopausal status in diagnosis of ovarian cancer were evaluated separately or combined into the RMI. Results RMI was more accurate than any individual criterion in diagnosing cancer. Using an RMI cutoff level of 200 to indicate malignancy, the RMI derived from this data set gave a sensitivity of 87.3%, a specificity of 84.4%, and a positive predictive value of 82.1%. Conclusions RMI is able to correctly discriminate malignant from benign pelvic mass. It can be introduced easily into clinical practice to facilitate the selection of patients for primary surgery.
文摘目的观察卵巢-附件报告和数据系统超声2022版(O-RADS US v2022)及其联合恶性风险指数4(RMI4)鉴别附件良、恶性肿瘤的价值。方法回顾性分析126例手术病理诊断为附件肿瘤患者,根据O-RADS US v2022将1~3类归为良性病变、4~5类归为恶性病变,以450为RMI4分类的临界值,基于二者进行联合分类。以病理结果为金标准,绘制受试者工作特征(ROC)曲线,计算曲线下面积(AUC),评估单一O-RADS US v2022、RMI4及其联合鉴别附件良、恶性肿瘤的效能。结果126例附件肿瘤中,良性94例、恶性32例。O-RADS US v2022鉴别附件良、恶性肿瘤的敏感度、特异度、准确率及AUC分别为78.13%、80.85%和80.16%、0.795,RMI4分别为71.88%、84.04%和80.95%、0.780;二者联合的特异度及准确率(93.62%、92.06%)均高于单一O-RADS US v2022(χ^(2)=7.322、5.967,P=0.007、0.015)或RMI4(χ^(2)=4.625、5.331,P=0.032、0.021),而敏感度及AUC(87.50%、0.906)差异均无统计学意义(P均>0.05)。结论O-RADS US v2022能有效鉴别附件良、恶性肿瘤,联合RMI4可提高鉴别特异度及准确率。
文摘目的评价恶性危险指数(risk of malignancy index,RMI)在卵巢恶性肿瘤术前诊断中的价值。方法评价我院2001年1月至2005年10月卵巢肿瘤患者112例,取RMI>200,计算RMI及CA125的敏感性、特异性、阳性预测值(PPV)、阴性预测值(NPV)。同时计算卵巢恶性上皮性及非上皮性肿瘤的敏感性、特异性、PPV、NPV。结果RMI诊断卵巢恶性肿瘤的敏感性、特异性、PPV、NPV分别为75%、93%、91%、81%。RMI较CA125单独应用特异性增高。上皮性卵巢恶性肿瘤的敏感性、特异性、PPV、NPV分别为89%、94%、94%、88%,明显高于非上皮性卵巢恶性肿瘤。结论RMI在诊断卵巢恶性肿瘤,尤其是上皮性卵巢恶性肿瘤中具有重要价值,在非上皮性卵巢恶性肿瘤诊断方面尚有一定局限性。
文摘目的:建立改良恶性风险指数(risk of malignancy index,RMI)模型,评价改良后RMI在卵巢肿瘤术前诊断中的诊断价值。方法:选择214例曾住院接受手术治疗的卵巢肿瘤患者为研究对象,恶性组69例,良性组145例。筛选诊断因子进而改良RMI计算模型;绘制改良前后RMI的受试者工作曲线(ROC),参数法对比RMI1~3改良前后的ROC曲线下面积;计算改良后RMI1-3的诊断界值。结果:绝经后状态、多囊、实性、CA125、异常肿瘤特异性生长因子(TSGF)为判断卵巢肿瘤性质的影响因子;增加TSGF改良RMI的计算方法后,RMI1~3的ROC曲线下面积均分别较改良前增加(均P<0.01)。改良后RMI的最佳诊断界值在200左右。结论:RMI经改良后提高了诊断效能,值得向临床推荐。
基金Supported by Guangdong Science and Technology Department(2016A020215115)Huadu District Science and Technology Bureau(HD15CXY006)Tianhe District Science and Technology Bureau(201604KW010)~~