NIMBLE is a prospective study for blood biomarker study of lung nodules alongside analysing data which has been collected routinely as part of patient care. The primary aim of NIMBLE is to assess whether artificial intelligence and machine learning based radiomics approaches can be used to distinguish between benign disease and malignancy in a new lung nodule after a previously treated cancer, and where malignant to differentiate between metastatic recurrence or a new primary lung cancer.