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    王海辰, 杨雅文, 刘丽君, 王康, 张云, 宋睿, 唐雪飞, 马聪敏, 任金武, 王铭洁. 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[J]. 徐州医科大学学报, 2022, 42(6): 435-440. DOI: 10.3969/j.issn.2096-3882.2022.06.009
    引用本文: 王海辰, 杨雅文, 刘丽君, 王康, 张云, 宋睿, 唐雪飞, 马聪敏, 任金武, 王铭洁. 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[J]. 徐州医科大学学报, 2022, 42(6): 435-440. DOI: 10.3969/j.issn.2096-3882.2022.06.009
    Predictive value of ADC texture analysis on preoperative DWI for postoperative recurrence and association with progression free survival time in epithelial ovarian cancer[J]. Journal of Xuzhou Medical University, 2022, 42(6): 435-440. DOI: 10.3969/j.issn.2096-3882.2022.06.009
    Citation: Predictive value of ADC texture analysis on preoperative DWI for postoperative recurrence and association with progression free survival time in epithelial ovarian cancer[J]. Journal of Xuzhou Medical University, 2022, 42(6): 435-440. DOI: 10.3969/j.issn.2096-3882.2022.06.009

    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 and association with progression free survival time in epithelial ovarian cancer

    • 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:回顾性分析我院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,比较两组临床资料及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,随访36个月,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CA125、HE4、Alb、肿瘤大小、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、FIGO分期<2、惰性<696.74、相关性≥0.000425患者生存时间均显著高于肿瘤直径≥55.374、FIGO分期≥2、惰性≥696.74、相关性<0.000425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: ob<x>jective: To investigate the predictive value of ADC texture analysis on preoperative DWI for postoperative recurrence and the relationship with progression free survival time in epithelial ovarian cancer (EOC). Methods: A total of 84 patients with surgically and histopathologically confirmed EOC from January 20 19 to January 20 20 in our hospital were retrospectively analyzed, clinical data and preoperative DWI imaging were collected, and 43 patients were divided into recurrence and 41 non recurrence groups according to the 1-year post recurrence results, and the clinical data and ADC texture parameters (kurtosis, 10th percentile, 25th percentile, inertness, correlation, contrast, variationEntropy values) difference, logistic regression analysis of the risk factors for EOC recurrence, ROC curve analysis of the efficacy of the risk factors to predict EOC recurrence was applied, followed up for 36 months, to compare the survival time of EOC patients grouped by different risk factors.Results: There were significant differences in CA125, HE4, ALB, tumor size and FIGO stage at first diagnosis between recurrence groups (P<0.05);The 10th percentile, 25th percentile, correlation were significantly lower in the recurrence group than in thenon recurrence group( P<0.05), and the values of inertness, contrast, mutation, and entropy were significantly higher in the recurrence group than in the non recurrence group ( P<0.05);After logistic regression analysis, tumor size, FIGO stage, indolence, correlation were independent risk factors for EOC recurrence (P <0.05);ROC curve analysis showed that the combination of tumor size, FIGO stage, indolence, correlation predicted recurrence with the largest AUC area of 0.992;The survival time of patients with tumor diameter<55.374, FIGO stage<2, indolent<696.74, and correlation ≥ 0.000425 was significantly higher than that of patients with tumor diameter ≥ 55.374, FIGO stage ≥ 2, indolent ≥ 696.74, and correlation < 0.000425 (P<0.05).Conclusions: ADC texture analysis on preoperative DWI of EOC is helpful in predicting EOC recurrence and survival time.

       

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