The prognostic value of radiogenomics using CT in patients with lung cancer: a systematic review.

ABSTRACT: This systematic review aimed to evaluate the effectiveness of combining radiomic and genomic models in predicting the long-term prognosis of patients with lung cancer and to contribute to the further exploration of radiomics. This study retrieved comprehensive literature from multiple databases, including radiomics and genomics, to study the prognosis of lung cancer. The model construction consisted of the radiomic and genomic methods. A comprehensive bias assessment was conducted, including risk assessment and model performance indicators. Ten studies between 2016 and 2023 were analyzed. Studies were mostly retrospective. Patient cohorts varied in size and characteristics, with the number of patients ranging from 79 to 315. The construction of the model involves various radiomic and genot

SUBMITTER: Jiang Y 

PROVIDER: S-EPMC11519241 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature