Deep learning analysis using FDG-PET to predict treatment outcome in patients with oral cavity squamous cell carcinoma

ConclusionsDeep learning –based diagnosis with FDG-PET images may predict treatment outcome in patients with OCSCC.Key Points• Deep learning–based diagnosis of FDG-PET images showed the highest diagnostic accuracy to predict the treatment outcome in patients with oral cavity squamous cell carcinoma.• Deep learning–based diagnosis was shown to differentiate patients between good and poor disease-free survival more clearly than conventional T-stage, clinical stage, and conventional FDG-PET-based parameters.
Source: European Radiology - Category: Radiology Source Type: research