LungIMPACT
Research type
Research Study
Full title
Impact of immediate AI enabled patient triage to chest CT on the lung cancer pathway
IRAS ID
317009
Contact name
David Baldwin
Contact email
Sponsor organisation
Nottingham University Hospital NHS Trust
ISRCTN Number
ISRCTN78987039
Clinicaltrials.gov Identifier
CAG Reference, 23/CAG/0001
Duration of Study in the UK
1 years, 0 months, 0 days
Research summary
Diagnosing lung cancer early saves lives. Nearly three quarters of lung cancers are diagnosed late, at stage 3 or 4. One promising way to shorten the time to diagnose of lung cancer is to give patients their test results more quickly and proceed to the next step. Chest X-ray (CXR) and computed tomography (CT) scans are usually the first tests to suggest a diagnosis of lung cancer. Waiting for the results of a test is an anxious time for patients. If lung cancer is suspected, patients are often referred for a CT scan which may cause further anxiety. Usually, patients and their GPs do not receive these results straight away, and there can be longer delays due to the number of CXRs performed and imaging workforce shortages.
Immediate reporting allows patients to receive the result of the X-ray at the time of the test. If their X-ray is suspicious or unclear, patients are then offered a CT scan on the same day. CXRs for patients referred from primary care will be included, with help from the AI available for all patients. The study will test if AI helps identifying CXRs from patients who will benefit most from same day CT, triaging for an immediate review and report at eight clinical sites over a 12 month period.
REC name
East of England - Cambridge East Research Ethics Committee
REC reference
23/EE/0014
Date of REC Opinion
21 Feb 2023
REC opinion
Further Information Favourable Opinion