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基于CT影像组学特征评估肝硬化患者肝脏储备功能
引用本文:张喆,李民,赵丽琴,刘长春,黄旭方,曹邱婷,王麟,贾继东. 基于CT影像组学特征评估肝硬化患者肝脏储备功能[J]. CT理论与应用研究, 2022, 31(1): 55-62. DOI: 10.15953/j.ctta.2021.019
作者姓名:张喆  李民  赵丽琴  刘长春  黄旭方  曹邱婷  王麟  贾继东
作者单位:首都医科大学附属北京天坛医院放射科 北京100070;首都医科大学附属北京友谊医院放射科 北京100050,解放军总医院第五医学中心放射科,北京100039,首都医科大学附属北京天坛医院放射科 北京100070,首都医科大学附属北京友谊医院放射科 北京100050,首都医科大学附属北京天坛医院消化内科,北京100070,首都医科大学附属北京友谊医院肝病研究中心,北京100050
摘    要:目的:探讨应用CT影像组学特征评估肝硬化患者肝脏储备功能的价值.方法:回顾性收集经临床确诊的肝硬化患者121例.根据Child-Pugh分级标准分为A、B和C三个等级,其中A级51例(A组);B和C级共70例(B组).所有患者均采用GE Discovery CT 750HD行平扫加增强扫描.选择增强扫描门静脉期图像,由...

关 键 词:影像组学特征  计算机断层扫描  肝硬化
收稿时间:2020-10-31

Evaluation on the Hepatic Functional Reserve of Cirrhotic Patients based on CT Radiomics Characteristics
ZHANG Zhe,LI Min,ZHAO Liqin,LIU Changchun,HUANG Xufang,CAO Qiuting,WANG Lin,JIA Jidong. Evaluation on the Hepatic Functional Reserve of Cirrhotic Patients based on CT Radiomics Characteristics[J]. Computerized Tomography Theory and Applications, 2022, 31(1): 55-62. DOI: 10.15953/j.ctta.2021.019
Authors:ZHANG Zhe  LI Min  ZHAO Liqin  LIU Changchun  HUANG Xufang  CAO Qiuting  WANG Lin  JIA Jidong
Abstract:Objective: To explore the value of CT radiomics characteristics in evaluating hepatic functional reserve of patients with liver cirrhosis. Methods: A total of 121 patients with clinically confirmed liver cirrhosis were retrospectively collected, who were graded as A, B and C according to Child-Pugh standard. 51 cases were grade A (group A) and 70 cases were grade B and C (group B). All patients underwent non-contrast and contrast enhanced CT scan using GE Discovery CT 750 HD scanner. Enhanced CT images of portal venous phase were selected, and the whole liver was delineated at the level of the left portal vein by 2 radiologists using Shukun Radiomics V94 software. Intraclass correlation coefficient (ICC) was applied to test the inter-group consistency of the results obtained by the 2 radiologists. All patients were randomly divided into the training set and the validation set at a ratio of 7∶3, and the whole liver was performed extraction process for radiomics characteristics. After dimensionality reduction, radiomics characteristics were acquired and the model was established by Logistic Regression (LR). Area Under ROC Curve (AUC) was used to evaluate the performance of the model. Results: The consistency test results of image delineation by two radiologists turned out well and the ICC were greater than 0.75. Finally, 17 radiomics characteristics were used to establish the evaluation model for hepatic functional reserve of patients with liver cirrhosis. The AUC of the training set was 0.84 while the accuracy, sensitivity and specificity was 0.78, 0.79, and 0.77, respectively. The AUC of the validation set was 0.77 while the accuracy, sensitivity and specificity was 0.71, 0.76, and 0.65, respectively. Conclusion: CT radiomics characteristics could be used to evaluate the hepatic functional reserve of patients with liver cirrhosis. 
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