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作 者:张铮铮 刘筱 徐浩 杜文升 陆晓媛 梁婧玲 ZHANG Zhengzheng;LIU Xiao;XU Hao;DU Wensheng;LU Xiaoyuan;LIANG Jingling(Department of Obstetrics and Gynecology,the Affiliated Hospital of Xuzhou Medical University,Xuzhou,Jiangsu 221002,China;Department of Emergency,the Affiliated Hospital of Xuzhou Medical University;Department of Radiology,Jiangsu Province Hospital of Traditional Chinese Medicine,the Affiliated Hospital of Nanjing University of Traditional Chinese Medicine,Nangjing,Jiangsu 210029)
机构地区:[1]徐州医科大学附属医院妇产科,江苏徐州221002 [2]徐州医科大学附属医院急救中心 [3]江苏省中医院南京中医药大学附属医院影像科,江苏南京210029
出 处:《徐州医科大学学报》2018年第9期592-595,共4页Journal of Xuzhou Medical University
基 金:国家自然科学基金(81371243);徐州市科技创新后补助备案项目(KH17045)
摘 要:目的探讨MRI图像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25例ⅠB2-ⅡB早期宫颈癌患者的临床资料。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、熵值、偏度、峰度和不均匀度等参数。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3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,CR5例,PR17例,DR3例。3组患者中,均数、熵值和不均匀度参数相比差异有统计学意义(P〈0.05),且PD组中均数、熵值及不均匀度明显高于CR和PR组(P〈0.05);而3组间偏度、峰度值比较差异无统计学意义(P〉0.05)。结论MRI纹理分析可以有效评估宫颈癌新辅助化疗的预后。Objective To evaluate the feasibility of MRI texture analysis in predicting neoadjuvant chemotherapy re- sponse in patients with uterine cervix carcinoma. Methods A total of 25 uterine cervix carcinoma patients ( stage I B2 - IIA2 earlier) adopted MRI texture analysis and the neoadjuvant chemotherapy preoperatively were retrospectively ana- lyzed. The parameters of mean, entropy, skewness, kurtosis and inhomogeneity were obtained. The patients were divided into three groups: complete response( CR), partial response(PR) and deteriorative response(DR) according to the stand- ard of solid tumor diagnosis by WHO. The parameters of MRI texture analysis among the three groups were compared u- sing one - way ANOVA and the predicting effect of the neoadjuvant chemotherapy in uterine cervix carcinoma was evalua- ted. Results There were 5 patients in CR group, 17 patients in PR group and 3 patients in DR group. There were statis- tical differences in mean, entropy, and inhomogeneity among the three groups (P 〈 0.05 ). At the same time, the value of mean, entropy and inhomogeneity was higher in DR group than in other two groups ( P 〈 0.05 ). However, there was no statistical difference in skewness and kurtosis among the three groups ( P 〉 0.05 ). Conclusions MRI texture analysis may have the effect of predicting the prognosis of the neoadjuvant chemotherapy in uterine cervix carcinoma.
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