The study will use a blood sample collected from participants to:

• Develop new ways of finding and diagnosing lung health problems, such as lung cancer.
• Develop tools which make it easier to screen people with possible lung health problems, diagnose problems earlier and with fewer tests, and start the best treatment faster.
• Help improve the early diagnosis of lung cancer, as finding lung cancer early means that it can be treated more easily and successfully.

The results from this study will be linked with the data from the DART study (also collecting data through the Lung Health Check programme) to develop new ways of using computer technology (artificial intelligence) to improve lung health care. The studies use computer programs (called 'algorithms') which can be trained to analyse medical samples. Once developed, these algorithms can be used to support doctors by increasing their speed and accuracy of diagnosing issues.

Patient suitability will be assessed against the below criteria by the clinical teams managing the patients.

Inclusion Criteria:

1. Patients with a pulmonary nodule or nodule(s) detected on a CT scan performed as part of Lung Cancer Screening from the Lung Health Check centres, that require further investigation with a PET-CT scan, and / or biopsy, and / or resection
2. Willing and able to give informed consent

Exclusion Criteria:

• None -

Patients who have been offered follow up appointments after their Lung Health Check. Patients may be invited to attend a Lung Health Check if they have ever smoked and are aged 55 - 75 years old.

The data sharing plans for the current study are unknown and will be made available at a later date.