Skip to content

A pre and post-study to compare the effect of AI-assisted radiology systems in detecting potentially cancerous lung nodules

An ambispective pre and post-deployment observational cohort study to evaluate the yield of actionable lung nodules and lung cancer through chest X-rays using artificial intelligence

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ISRCTN
Registry ID
ISRCTN17337480
Enrollment
100000
Registered
2025-01-09
Start date
2025-01-09
Completion date
Unknown
Last updated
2025-02-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Detection of actionable lung nodules and lung cancer Cancer

Interventions

This is a pre-and post-deployment study. The study is observational at the patient level with no protocol-mandated procedures. A patient identified with a nodule will undergo management as per estab

Sponsors

Qure.ai Technologies Limited
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: All participants above the age of 35 years obtaining chest X-rays at the site

Exclusion criteria

Exclusion criteria: Patients less than 35 years old and patients with known lung cancer at the time of chest X-ray

Design outcomes

Primary

MeasureTime frame
The following primary outcome measures are assessed using data collected from the Qure AI qXR LN v4.0 device: 1. Difference in actionable pulmonary nodule detection rate on chest X-rays between pre- and post-deployment periods 2. Difference in proportion of lung cancer cases diagnosed through nodule pathway between pre- and post-deployment periods

Secondary

MeasureTime frame
The difference in the proportion of early-stage lung cancer among all lung cancer between pre and post-deployment periods assessed using data collected from the Qure AI qXR LN v4.0 device

Countries

Netherlands

Contacts

Public ContactJacob J. Visser
j.j.visser@erasmusmc.nl+31 0107030949

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Feb 4, 2026