宋家琳,刘翔,章建全,刘士远,王硕鸿,付静,赵佳琦,刁宗平,盛建国.高频超声肝实质纹理特征定量评价肝硬化患者肝功能[J].中国医学影像技术,2019,35(12):1875~1879
高频超声肝实质纹理特征定量评价肝硬化患者肝功能
Texture features of hepatic parenchyma based on high-frequency ultrasonic images in quantitative evaluation of liver function in cirrhosis patients
投稿时间:2019-01-28  修订日期:2019-09-28
DOI:10.13929/j.1003-3289.201901179
中文关键词:  肝硬化  超声检查  诊断,计算机辅助  纹理特征
英文关键词:liver cirrhosis  ultrasonography  diagnosis, computer-assisted  texture features
基金项目:国家自然科学基金青年项目(81101105)。
作者单位E-mail
宋家琳 中国人民解放军海军军医大学附属长征医院超声科, 上海 200003  
刘翔 上海工程技术大学电子电气工程学院, 上海 201620  
章建全 中国人民解放军海军军医大学附属长征医院超声科, 上海 200003  
刘士远 中国人民解放军海军军医大学附属长征医院影像科, 上海 200003 liushiyuan@smmu.edu.cn 
王硕鸿 哈佛大学分子与细胞生物学系及脑科学研究中心, 美国 剑桥 02138  
付静 中国人民解放军海军军医大学附属长征医院超声科, 上海 200003  
赵佳琦 中国人民解放军海军军医大学附属长征医院超声科, 上海 200003  
刁宗平 中国人民解放军海军军医大学附属长征医院超声科, 上海 200003  
盛建国 中国人民解放军海军军医大学附属长征医院超声科, 上海 200003  
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中文摘要:
      目的 探讨基于高频超声声像图肝实质纹理特征定量评估肝硬化患者肝功能的价值。方法 收集95例肝硬化患者(肝功能Child-Pugh A级组37例、B级组33例、C级组25例)和21名健康志愿者(对照组),基于机器学习思想,利用计算机技术缺陷检测法定位二维高频声像图中肝实质区域缺陷,提取缺陷图单位面积局部最大值xD)、缺陷图均值mean(D)和缺陷图的熵εD),比较组间差异。结果 4组间xD)、mean(D)和εD)差异均有统计学意义(P均<0.001)。A级组、B级组、C级组xD)、mean(D)均大于正常组,A级组、B级组mean(D)均大于正常组;B级组mean(D)、εD)大于A级组,εD)大于C级组;组间差异均有统计学意义(P均<0.05)。结论 基于高频超声声像图的肝实质纹理特征参数能实现定量评估Child-Pugh A级、B级肝硬化,对Child-Pugh C级患者仍需结合其他特征进行综合评估。
英文摘要:
      Objective To explore the application value of quantitative evaluation on liver function in patients with hepatitis B cirrhosis based on texture features of liver parenchyma from high frequency ultrasound images. Methods Two-dimensional high-frequency ultrasonograms of liver parenchyma in 95 patients with different levels of liver function (37 cases in Child-Pugh A group, 33 in Child-Pugh B group and 25 cases in Child-Pugh C group) and 21 healthy volunteers (control group) were collected. Based on the idea of machine learning, the defect detection method of computer technology was used to locate the defect in liver parenchyma images, and the defect maps of liver parenchyma were obtained. Then three parameters, i.e. the maximum number per unit area of defect maps x(D), the mean value of defect maps mean (D) and the entropy of defect maps ε(D) were extracted. The differences of three parameters among different groups were compared. Results There were significant differences of x(D), mean (D) and ε(D) among 4 groups (all P<0.001). The value of x(D) and mean (D) in Child-Pugh A group, B group and C group were higher than those in control group (all P<0.05). The value of mean (D) in Child-Pugh A group and Child-Pugh B group were higher than that in control group (both P<0.05). The value of mena (D) and ε(D) in Child-Pugh B group were higher than those in Child-Pugh C group (both P<0.05). Conclusion Texture features analysis of liver parenchyma based on high-frequency ultrasonic images can accurately assess liver cirrhosis with Child-Pugh A and Child-Pugh B, while the evaluation of liver cirrhosis with Child-Pugh C still needs to combine with other features of the liver.
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