Classification of Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma Based on Radiomic Analysis

医学 肝内胆管癌 肝细胞癌 放射科 肝癌 逻辑回归 阶段(地层学) 回顾性队列研究 病态的 内科学 生物 古生物学
作者
Xiaoliang Xu,Yingfan Mao,Yanqiu Tang,Yang Liu,Cailin Xue,En-Qing Gao,Qiaoyu Liu,Jin-Cheng Wang,Yin Yin
出处
期刊:Computational and Mathematical Methods in Medicine [Hindawi Publishing Corporation]
卷期号:2022: 1-9 被引量:5
标识
DOI:10.1155/2022/5334095
摘要

Considering the narrow window of surgery, early diagnosis of liver cancer is still a fundamental issue to explore. Hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICCA) are considered as two different types of liver cancer because of their distinct pathogenesis, pathological features, prognosis, and responses to adjuvant therapies. Qualitative analysis of image is not enough to make a discrimination of liver cancer, especially early-stage HCC or ICCA.This retrospective study developed a radiomic-based model in a training cohort of 122 patients. Radiomic features were extracted from computed tomography (CT) scans. Feature selection was operated with the least absolute shrinkage and operator (LASSO) logistic method. The support vector machine (SVM) was selected to build a model. An internal validation was conducted in 89 patients.In the training set, the AUC of the evaluation of the radiomics was 0.855 higher than for radiologists at 0.689. In the valuation cohorts, the AUC of the evaluation was 0.847 and the validation was 0.659, which indicated that the established model has a significantly better performance in distinguishing the HCC from ICCA.We developed a radiomic diagnosis model based on CT image that can quickly distinguish HCC from ICCA, which may facilitate the differential diagnosis of HCC and ICCA in the future.
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