ReviewZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2022
[Research progress of LI-RADS categories and imaging features in predicting the prognosis of liver tumors].
Review in Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
The liver imaging reporting and data system (LI-RADS) is an imaging assessment system that standardizes the diagnosis of hepatocellular carcinoma (HCC), indicating the benign and malignant tumor through categories as well as major and ancillary features. The higher the LI-RADS category ranking, the higher the corresponding HCC likelihood and malignancy risk. Therefore, early diagnosis and prediction of the prognostic risk factors of liver tumors by preoperative imaging have important clinical significance for improving the survival rate and prognosis of patients. This article reviews the research progress of LI-RADS categories and related imaging features in predicting the prognosis of liver tumors.
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