Open AccessApplication of artificial intelligence in preoperative imaging of hepatocellular carcinoma: Current status and future perspectives
Author(s) -
Bing Feng,
Xiaohong Ma,
Shuang Wang,
Wei Cai,
Xiabi Liu,
Xinming Zhao
Publication year - 2021
Publication title -
world journal of gastroenterology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.427
H-Index - 155
eISSN - 2219-2840
pISSN - 1007-9327
DOI - 10.3748/wjg.v27.i32.5341
Subject(s) - hepatocellular carcinoma , medicine , current (fluid) , magnetic resonance imaging , artificial intelligence , pathology , radiology , computer science , physics , thermodynamics
Hepatocellular carcinoma (HCC) is the most common primary malignant liver tumor in China. Preoperative diagnosis of HCC is challenging because of atypical imaging manifestations and the diversity of focal liver lesions. Artificial intelligence (AI), such as machine learning (ML) and deep learning, has recently gained attention for its capability to reveal quantitative information on images. Currently, AI is used throughout the entire radiomics process and plays a critical role in multiple fields of medicine. This review summarizes the applications of AI in various aspects of preoperative imaging of HCC, including segmentation, differential diagnosis, prediction of histopathology, early detection of recurrence after curative treatment, and evaluation of treatment response. We also review the limitations of previous studies and discuss future directions for diagnostic imaging of HCC.