Radiomics is an evolving field in which extraction and screening a large amount of image features could be used to estab-lish predictive models with clinical information through artificial intelligence technology and statistical analysis,thereby improving the diagnostic accuracy,predicting treatment response and prognostication,potentially allowing personalized cancer therapy. As a promis-ing new field,radiomics has broad application prospects. This review will focus on the overview,current status,process and challenges in the clinical application of PET radiomics in non-small cell lung cancer.
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Wang Jingnan, Huo Li, Li Fang. Clinical application of PET radiomics and artificial intelligence in non-small cell lung cancer[J]. Journal of Chongqing Medical University,2018,(11):1519-1522