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x(D)、缺陷图均值mean(D)和缺陷图的熵ε(D),比较组间差异。结果4组间x(D)、mean(D)和ε(D)差异均有统计学意义(P均<0.001)。A级组、B级组、C级组x(D)、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)、ε(D)大于A级组,ε(D)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。
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 mapsε(D)were extracted.The differences of three parameters among different groups were compared.Results There were significant differences of x(D),mean(D)andε(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)andε(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.
作者
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
SONG Jialin;LIU Xiang;ZHANG Jianquan;LIU Shiyuan;WANG Shuohong;FU Jing;ZHAO Jiaqi;DIAO Zongping;SHENG Jianguo(Department of Ultrasound,Changzheng Hospital Affiliated to the Second Military Medical University,Shanghai 200003,China;College of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201620,China;Department of Imaging,Changzheng Hospital Affiliated to the Second Military Medical University,Shanghai 200003,China;Department of Molecular and Cellular Biology and Center for Brain Science,Harvard University,Cambridge 02138,USA)
出处
《中国医学影像技术》
CSCD
北大核心
2019年第12期1875-1879,共5页
Chinese Journal of Medical Imaging Technology
基金
国家自然科学基金青年项目(81101105)
关键词
肝硬化
超声检查
诊断
计算机辅助
纹理特征
liver cirrhosis
ultrasonography
diagnosis
computer-assisted
texture features
