Deep learning on MIP FDG-PET predicts lymph node spread in esophageal squamous cell carcinoma
A deep learning model on rotational MIP FDG-PET achieved AUC 0.82 (95% CI 0.57–0.94) and 92% sensitivity for lymph node metastasis in esophageal squamous cell carcinoma, vs radiologists’ 58% sensitivity.