Lung cancer Cancer
Conditions
Interventions
This is a prospective, multi-centre healthcare service delivery study with the primary objective of assessing the effectiveness of AI immediate read and worklist prioritisation for immediate review on
Sponsors
Nottingham University Hospitals NHS Trust
Eligibility
Sex/Gender
All
Age
18 Years to 120 Years
Inclusion criteria
Inclusion criteria: 1. Chest X-ray referred from primary care 2. Age =18 years 3. Anteroposterior (AP) or Posteroanterior (PA) view
Exclusion criteria
Exclusion criteria: 1. Age <18 years 2. CXR referral not from primary care 3. Lateral X-ray view of the chest
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| 1. Time from chest X-ray to lung cancer diagnosis in days from the cancer waiting time database 2. Time from chest X-ray to CT (when performed) in days from the radiology information system | — |
Secondary
| Measure | Time frame |
|---|---|
| 1. Time to first respiratory cancer outpatient appointment in days from the cancer waiting time database 2. Time to treatment start for lung cancer patients in days from the cancer waiting time database 3. Agreement between AI (qXR) and human readers for normal/abnormal interpretation of chest X-ray as an agree/disagree decision with discordance review by a thoracic radiologist where required 4. Number of urgent lung cancer referrals from the cancer waiting time database 5. The incidence of lung cancer from the cancer waiting time database 6. The stage of lung cancer diagnosis from the cancer waiting time database 7. Cost-effectiveness of AI support at the time of CXR acquisition and prioritisation for immediate review of CXRs; to be measured by difference in costs per patient diagnosed, per percentage increase in early-stage diagnosis and potentially per QALY subject to the availability of health utilities in the published studies | — |
Countries
England, United Kingdom
Outcome results
None listed