This study aims to synthesise PET data that preserves biological relevance and adds clinical value to the diagnosis and prognosis of lung cancer by establishing anatomical-to-metabolic mapping based on paired diagnostic CT and FDG-PET scans, thereby prospectively validating the clinical utility of the model.
Patients with non-small cell lung cancer scheduled to undergo PET-CT and pathological examinations;
Voluntarily participate and sign an informed consent form;
History of other malignant tumours;
Image artefacts;
Without pathological diagnostic information;
Without paired CT and FDG-PET scan images.