SCOOT: Sample Collection for DART
SCOOT
Sample Collection for The Integration and Analysis of Data Using Artificial Intelligence to Improve Patient Outcomes With Thoracic Diseases
1 other identifier
observational
5,000
1 country
11
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Aug 2022
Typical duration for all trials
11 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 5, 2022
CompletedFirst Posted
Study publicly available on registry
May 10, 2022
CompletedStudy Start
First participant enrolled
August 11, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2025
CompletedNovember 18, 2025
November 1, 2025
3.4 years
May 5, 2022
November 14, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
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
by February 2025
Secondary Outcomes (1)
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
by February 2025
Eligibility Criteria
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.
You may qualify if:
- 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
- Willing and able to give informed consent
You may not qualify if:
- None -
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Oxfordlead
- Innovate UKcollaborator
- Optellumcollaborator
- National Institute for Health Research, United Kingdomcollaborator
- Cancer Research UKcollaborator
- GE Healthcarecollaborator
- Prenosticscollaborator
- Roche Diagnostics GmbHcollaborator
Study Sites (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
Lung Health Check Centre: Gateshead
Gateshead, United Kingdom
Lung Health Check Centre: Corby & Kettering
Kettering, United Kingdom
Lung Health Check Centre: Cheshire & Merseyside
Liverpool, United Kingdom
Lung Health Check Centre: RM Partners
London, United Kingdom
Lung Health Check Centre: Newcastle & Gateshead
Newcastle, United Kingdom
Lung Health Check Centre: Plymouth
Plymouth, United Kingdom
Lung Health Check Centre: Stoke
Stoke, United Kingdom
Lung Health Check Centre: South Tyneside and Sunderland
Sunderland, United Kingdom
Related Links
Biospecimen
30ml blood sample will be collected and processed, resulting in plasma and serum samples for analysis.
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Richard Lee
Royal Marsden NHS Foundation Trust
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- OTHER
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 5, 2022
First Posted
May 10, 2022
Study Start
August 11, 2022
Primary Completion
December 31, 2025
Study Completion
December 31, 2025
Last Updated
November 18, 2025
Record last verified: 2025-11