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    上皮性卵巢癌术前DWI中ADC纹理分析对术后复发的预测价值及与无进展生存时间的关系

    Predictive value of ADC texture analysis on preoperative DWI for postoperative recurrence of epithelial ovarian cancer and association with progression free survival time

    • 摘要: 目的 探究上皮性卵巢癌(EOC)术前扩散加权成像(DWI)中表现扩散系数(ADC)纹理分析对术后复发的预测价值及与无进展生存时间的关系。方法 回顾性分析保定市第一中心医院2019年1月—2020年1月期间经手术和组织病理学证实EOC患者84例。收集临床资料及术前DWI成像,根据1年后复发结果分为复发组43例及非复发组41例。比较2组临床资料及ADC纹理参数(峰度、第10百分位数、第25百分位数、惰性、相关性、对比度、变异、熵值)差异,Logistics回归分析EOC复发的危险因素,应用ROC曲线分析危险因素预测EOC复发的效能;比较不同危险因素分组EOC患者生存时间。结果 复发组首诊时癌胚抗原125(CA125)、人附睾蛋白4(HE4)、血清白蛋白(Alb)、肿瘤大小、国际妇产科学联合会妇科肿瘤分期(FIGO分期)比较,差异有统计学意义(P<0.05);复发组第10百分位数、第25百分位数、相关性均显著低于非复发组(P<0.05),惰性、对比度、变异、熵值均显著高于非复发组(P<0.05)。经Logistic回归分析结果显示,肿瘤大小、FIGO分期、惰性、相关性是EOC复发的独立危险因素(P<0.05)。ROC曲线分析显示肿瘤大小、FIGO分期、惰性、相关性联合预测复发的AUC面积最大,为0.992;肿瘤直径<55.374 mm、FIGO分期<2、惰性<696.74、相关性≥0.000 425的患者生存时间均显著高于肿瘤直径≥55.374 mm、FIGO分期≥2、惰性≥696.74、相关性<0.000 425的患者(P<0.05)。结论 EOC术前DWI中ADC纹理分析有助于预测EOC复发及生存时间。

       

      Abstract: Objective To investigate the predictive value of texture analysis of appearance diffusion coefficient (ADC) in preoperative diffusion-weighted imaging (DWI) for postoperative recurrence of epithelial ovarian cancer (EOC) and its relationship with progression-free survival. Methods A total of 84 EOC patients who were surgically and pathologically diagnosed in the First Central Hospital of Baoding from January 2019 to January 2020 were enrolled and their clinical data and preoperative DWI imaging were retrospectively analyzed. According to post-operative one-year relapse, they were divided into two groups: a recurrence group (n=43) and a non-recurrence group (n=41). Both groups were compared for clinical data and ADC texture parameters (kurtosis, 10th percentile, 25th percentile, indolence, correlation, contrast, variation, and entropy). Logistic regression analysis was used to analyze the risk factors of recurrent EOC, and the ROC curve was plotted to analyze the efficacy of risk factors in predicting EOC recurrence. The follow-up was 36 months, and the survival time of EOC patients with different risk factors was compared. Results There were statistical differences in cancer antigen 125 (CA125), human epididymis protein 4 (HE4), albumin (Alb), tumor size and FIGO stage at the first diagnosis in the recurrence group (P<0.05). The recurrence group presented remarkable decreases in 10th percentile, 25th percentile and correlation (P<0.05) and increases in indolent, contrast, variation, and entropy in the non-recurrence group (P<0.05). Logistic regression analysis showed that tumor size, FIGO stage, indolence, and correlation were the independent risk factors of EOC recurrence (P<0.05). According to ROC curve, the combination of tumor size, FIGO stage, indolence, and correlation predicted the largest AUC area of recurrence, which was 0.992. Patients with tumor diameter<55.374 mm, FIGO stage<2, indolent <696.74, and correlation ≥ 0.000425 showed remarkably longer survival time than those with tumor diameter ≥ 55.374 mm, FIGO stage ≥ 2, indolent ≥ 696.74, and correlation < 0.000425 (P<0.05). Conclusions ADC texture analysis in DWI before EOC is helpful for predicting EOC recurrence and survival time.

       

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