SCOOT: Sample Collection for DART

N/AActive Not RecruitingNCT05368298

University of Oxford872 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

872

Conditions

Lung Cancer

Eligibility

Sex: ALLMin age: 55 YearsMax age: 75 Years

Medical Language ↔ Plain English

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 -

Locations (11)

Lung Health Check: Oxford - Churchill Hospital, OUH

Oxford, Oxfordshire, United Kingdom

Lung Health Check Centre: Royal Sussex

Brighton, United Kingdom

Lung Health Check Centre: North Bristol

Bristol, United Kingdom

Outcomes

Primary Outcomes

To develop an algorithm that gives a greater than chance improved ability to diagnose lung cancer using the blood biomarkers with or without the AI CT algorithm compared to not using them

Time frame: by 30Sep2027

Secondary Outcomes

To develop an algorithm that gives a greater than chance improved ability to diagnose lung cancer using the blood biomarkers with or without the AI CT and blood markers algorithm compared to not using them

Time frame: by 30Sep2027

Data from ClinicalTrials.gov

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