CT图像自动识别系统诊断肝炎肝硬化的研究  

The early diagnosis of liver cirrhosis based on CT imaging by auto-recognition technique

作　　者：孔平[1] 苏式兵[2] 严广乐[1] 

机构地区：[1]上海理工大学管理学院系统工程研究所,200093 [2]上海中医药大学复杂系统研究所

出　　处：《实用肝脏病杂志》2008年第1期6-9,共4页Journal of Practical Hepatology

基　　金：国家科技基金(2006BAI08B02-6);上海市重点学科建设基金(T0502)支持项目

摘　　要：目的探讨肝炎肝硬化早期诊断方法。方法基于肝脏CT平扫图像,采用计算机图像自动识别及测量技术,计算乙型肝炎患者肝叶比例,通过统计对照数据库中的历史数据,对早期肝硬化做出诊断。结果肝硬化组与乙型肝炎组比较,本系统Ll/L2和R1/L1比值均有显著性差异(P<0.05);建立判别方程:D=1.650Ll/L2+0.509R1/L1-5.019;确定判别的临界值为0.0795;D>0.0795为肝硬化,D<0.0795为乙型肝炎;判别效果分析(回代),结果诊断肝硬化的正确率为68.42%,诊断乙型肝炎或判断为无肝硬化的正确率为89.8%。结论可以利用肝脏各叶的比例变化来预测和早期诊断肝炎肝硬化。Objective An auto-recognition system for measurement of liver proportion in computerized tomography imaging was developed for early diagnosis of hepatitis B-related liver cirrhosis. Methods The right and left liver proportion in CT imaging in patient with hepatitis B was measured and an formula was established in the database. Results The difference of L1/L2 and R1/L1 ratio between patients with liver cirrhosis and with chronic hepatitis B was significant （p〈0.05 ） ; we got a formula of D= 1. 650 L1/L2 ＋0. 509 R1/L1-5. 019 and the cut-off value was 0. 0795 ; when D〉0, 0795, the liver cirrhosis was diagnosed, while D〈0. 0795, the chronic hepatitis B was considered. The accuracy of cirrhosis diagnosis was 68.42% ,and of the exclusion was 89.8 %. Conclusion We may use the auto-recognition system in CT-imaging to predict or diagnose the early liver cirrhosis.

关 键 词：肝硬化 乙型肝炎 CT平扫图像图像 自动识别软件 

分 类 号：R575.2[医药卫生—消化系统]