AI & Radiomics for Stratification of Lung Nodules After Radically Treated Cancer

Inclusion Criteria: * Confirmed history of previous radically or curative-intent treated solid organ cancer within 10 years of new index CT thoracic scan demonstrating a new pulmonary nodule and either of the following: * Biopsy confirming previous malignancy with MDT consensus and successful cancer resolution/remission following anti-cancer treatment on interval imaging or blood assay analysis * Where biopsy was not possible/confirmed for previous malignancy, MDT consensus outcome confirming cancer (+/- calculated Herder score \>80% if applicable) and decision to treat as malignancy with subsequent resolution/remission following anti-cancer treatment on interval imaging or blood assay analysis * Radical treatment for previous cancer defined as either of the following: * Surgical resection * Radical radiotherapy or stereotactic beam radiotherapy * Radical chemotherapy * Radical chemo-radiotherapy * Multi-modality treatment with any of the above * New pulmonary nodule ground truth known * Scan data showing 2-year stability (based on diameter or volumetry) or resolution in cases of benign disease * Scan data showing progressive nodule enlargement or increase in nodule number on interval imaging with MDT consensus (+/- PET with Herder score \>80% if applicable) determining metastatic disease or new primary malignancy * Biopsy sampling confirming benign disease or malignancy and in cases of malignancy, metastasis or new primary lung cancer * CT scan slice thickness ≤ 2.5mm * Nodule size ≥ 5mm Exclusion Criteria: * CT Imaging \> 10 years old * Non-solid haematological malignancies including leukaemia * Cases of radically treated primary cancer disease with early oligometastatic recurrence treated radically