SCOOT: Sample Collection for DART

University of Oxford

Status: Enrolling

Conditions: Lung Cancer

Study type: Observational

Funder types: Other; Industry

Identifiers

NCT05368298

OCTO-106

Details and patient eligibility

About

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.

Full description

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.

Enrollment: 5,000 estimated patients

Sex: All

Ages: 55 to 75 years old

Volunteers: No Healthy Volunteers

Inclusion and exclusion criteria

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 -