PTGS2 and cervical cancer: Zhang et al. [119] showed that the constructed ML model with the LR algorithm using the PET-radiomics scores established using the LASSO regression had good predictive performance for not only pelvic LNM (AUC: 0.817) but also the expression of COX-2 (AUC: 0.814) in cervical cancers.