摘要
目的卵巢癌患者均行彩色多普勒超声检查,分析患者血流参数对分化程度的鉴别价值。方法2020年5月至2023年1月,共有125例卵巢癌患者在本院就诊,回顾性分析患者临床资料,根据患者病理结果将其分为低分化组(n=50)、中分化组(n=61)、高分化组(n=14)。对三组彩色多普勒超声血流参数[舒张末期流速(EDV)、阻力指数(RI)、收缩期峰值流速(PSV)、搏动指数(PI)]进行比较。采用Pearson法分析卵巢癌患者彩色多普勒超声血流参数与其分化程度之间关系;另卵巢癌患者超声血流参数对患者分化程度的鉴别价值分析主要依托受试者工作特征(ROC)曲线进行。结果高分化组、中分化组RI、PI均高于低分化组(P<0.05),PSV、EDV均低于低分化组(P<0.05);高分化组RI、PI均高于中分化组(P<0.05),PSV、EDV低于中分化组(P<0.05);经Pearson法分析,RI、PI与卵巢癌患者分化程度呈正相关(r=0.712、0.622,P<0.05),PSV、EDV与卵巢癌患者分化程度呈负相关(r=-0.678、-0.644,P<0.05);ROC曲线分析结果显示,RI、PI、PSV、EDV联合鉴别卵巢癌低分化的灵敏度、特异度、曲线下面积(AUC)分别为92.00%、80.00%、0.907,其中联合灵敏度高于单独鉴别,AUC也高于单独鉴别(P<0.05),特异度与单独鉴别基本一致。结论超声血流参数EDV、PI、PSV、RI联合对卵巢癌患者低分化的鉴别效能良好,具有较好的临床应用价值。
Objective Patients with ovarian cancer underwent color Doppler ultrasonography,and the value of blood flow parameters in differentiating the degree of differentiation was analyzed.Methods From May 2020 to January 2023,a total of 125 patients with ovarian cancer were treated in our hospital,and the clinical data of the patients were retrospectively analyzed.The patients were divided into a low differentiation group(n=50),a moderate differentiation group(n=61)and a high differentiation group(n=14)by the pathological results.The three groups of color Doppler ultrasound blood flow parameters[end diastolic velocity(EDV),resistance index(RI),peak systolic velocity(PSV),pulsatility index(PI)]were compared.The relationship between color Doppler ultrasound blood flow parameters and the degree of differentiation ovarian cancer were analyzed by Pearson method.In addition,the differential value of ultrasound blood flow parameters in patients with ovarian cancer to the degree of differentiation of patients was mainly based on the receiver operating characteristic(ROC)curve.Results The RI and PI of the high moderate differentiation group and moderate differentiation group were higher than those in the low differentiation group(P<0.05),while the PSV and EDV were lower than those in the low differentiation group(P<0.05).The RI and PI in the high differentiated group were higher than those in the moderate differentiated group(P<0.05),while the PSV and EDV were lower than those in themoderate differentiated group(P<0.05).According to Pearson's analysis,RI and PI were positively correlated with the degree of differentiation in ovarian cancer patients(r=0.712,0.622,P<0.05),while PSV and EDV were negatively correlated with the degree of differentiation in ovarian cancer patients(r=-0.678,-0.644,P<0.05).ROC curve analysis showed that the sensitivity,specificity and area under the curve(AUC)of the combination of RI,PI,PSV and EDV in the differential diagnosis of poor differentiation of ovarian cancer were 92.00%,80.00%and 0.907 respectively,and the sensitivity of the combination was higher than that of the single identification,and the AUC was also higher than that of the single identification(P<0.05),while the specificity was basically the same as that of the single identification.Conclusion The combination of ultrasound blood flow parameters RI,PI,PSV,and EDV has good differential efficacy in ovarian cancer patients with low differentiation,and have good clinical application value.
作者
禹凯鸣
辛红艳
杨文博
YU Kai-ming;XIN Hong-yan;YANG Wen-bo(Department of Ultrasound Medicine,Jinshui District General Hospital,Zhengzhou 450000,Henan Province,China)
出处
《罕少疾病杂志》
2025年第8期113-115,共3页
Journal of Rare and Uncommon Diseases
关键词
卵巢癌
分化程度
彩色多普勒超声血流参数
鉴别价值
Ovarian Cancer
Degree of Differentiation
Color Doppler Ultrasound Blood Flow Parameters
The Value of Identification
