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    张铮铮, 梁靖玲, 刘筱, 徐浩, 杜文升, 陆晓媛. MRI图像纹理特征在评估宫颈癌新辅助化疗中的预测作用[J]. 徐州医科大学学报, 2018, 38(9): 592-595.
    引用本文: 张铮铮, 梁靖玲, 刘筱, 徐浩, 杜文升, 陆晓媛. MRI图像纹理特征在评估宫颈癌新辅助化疗中的预测作用[J]. 徐州医科大学学报, 2018, 38(9): 592-595.
    The application of MRI texture analysis in evaluating the neoadjuvant chemotherapy of uterine cervix carcinoma[J]. Journal of Xuzhou Medical University, 2018, 38(9): 592-595.
    Citation: The application of MRI texture analysis in evaluating the neoadjuvant chemotherapy of uterine cervix carcinoma[J]. Journal of Xuzhou Medical University, 2018, 38(9): 592-595.

    MRI图像纹理特征在评估宫颈癌新辅助化疗中的预测作用

    The application of MRI texture analysis in evaluating the neoadjuvant chemotherapy of uterine cervix carcinoma

    • 摘要: 目的:探讨MRI纹理特征在评估宫颈癌新辅助化疗疗效中的预测作用。方法:回顾性分析2014年1月至2018年1月,我院收治的25例IB2~IIB早期宫颈癌患者,术前均采用新辅助化疗,化疗前行MRI图像纹理分析,获得均数(mean)、熵值(entropy)、偏度(skewness)、峰度(kurtosis)和不均匀度(inhomogeneity)等参数。依据WHO制定的实体瘤客观疗效评定标准,将宫颈癌患者分为完全缓解组(CR),部分缓解组(PR)和进展组(DR)。采用单因素方差分析对三组患者MRI图像纹理特征参数进行比较,评估上述参数在宫颈癌新辅助化疗疗效中的预测作用。结果:25例宫颈癌患者中,CR 5例,PR 17例,DR 3例。三组患者中,mean、entropy和inhomogeneity参数相比差异有统计学意义,P<0.05,且PD组中mean、entropy及inhomogeneity明显高于CR和PR组;而三组间skewness、kurtosis值比较差异无统计学意义(P>0.05)。结论:通过MRI纹理分析,可以有效评估新辅助化疗在宫颈癌中的预后作用。

       

      Abstract: Objective: To evaluate the feasibility of MRI texture analysis in predicting the effect of neoadjuvant chemotherapy in patients with uterine cervix carcinoma. Methods: 25 uterine cervix carcinoma patients(stage IB2~IIA2 earlier)adopted MRI texture analysis and the neoadjuvant chemotherapy preoperatively were retrospectively analyzed between January,2014 and January,2018. The parameters of mean, entropy, skewness, kurtosis and inhomogeneity were obtained. The patients were divided into three groups: complete response(CR), partially response(DR) and deteriorative response (DR)according to the standard of solid tumor diagnosis by WHO. The parameters of MRI texture analysis were compared between the three groups using one-way ANOVA, and evaluated the predicting effect of the neoadjuvant chemotherapy in uterine cervix carcinoma. Results: There were 5 patients in CR group,17 patients in PR group and 3 patients in DR group. There were statistical differences in mean、entropy and inhomogeneity between the three groups (P<0.05). And the value of mean、entropy and inhomogeneity was higher in DR group than other two groups. However, there was no difference of statistics in skewness and kurtosis (P>0.05). Conclusion: MRI texture analysis may have the effect of predicting the prognosis of the neoadjuvant chemotherapy in uterine cervix carcinoma

       

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