Differential diagnosis of small hepatocellular carcinoma and dysplastic nodule based on diffusion weighted imaging radiomics model
10.3969/j.issn.1002-1671.2024.01.014
- VernacularTitle:基于扩散加权成像的影像组学模型鉴别小肝癌与异型增生结节
- Author:
Yinqiao LI
1
,
2
;
Juan ZHANG
;
Ningyang JIA
Author Information
1. 上海理工大学健康科学与工程学院,上海 200093
2. 海军军医大学第三附属医院放射科,上海 200438
- Keywords:
radiomics;
small hepatocellular carcinoma;
dysplastic nodule;
diffusion weighted imaging
- From:
Journal of Practical Radiology
2024;40(1):60-63,91
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the diagnostic value of diffusion weighted imaging(DWI)-based radiomics model to identify small hepatocellular carcinoma(＜2 cm)(SHCC)and dysplastic nodule(DN)in the background of hepatitis cirrhosis.Methods A total of 93 cases SHCC and 25 cases with DN with complete enhanced MRI images and surgically pathologically confirmed were collected retrospectively.Chi-square test was performed to analyze the signal characteristics of DWI and enhanced triphasic MRI images between the two groups.ITK-SNAP was used to draw the region of interest(ROI)on DWI,and FAE software was applied for extraction,selec-tion,and construction of support vector machine(SVM)models(dividing into training set and test set according to the ratio of 7∶3).The diagnostic performance of model was evaluated by receiver operating characteristic(ROC)curve.Results There were statisti-cally significant differences in enhanced triphasic MRI and DWI between SHCC and DN(P＜0.05).The area under the curve(AUC)of the DWI-SVM model training set was 0.936,and sensitivity,specificity and accuracy was 95.4％,88.2％and 93.9％,respec-tively,and the AUC of the test set was 0.911,and sensitivity,specificity and accuracy was 85.7％,87.5％and 86.1％,respectively,which were all significantly better than the diagnostic efficacy of DWI(AUC=0.720).Conclusion DWI-SVM model with signifi-cantly higher AUC and specificity can effectively differentiate SHCC from DN in the background of hepatitis cirrhosis.
