ClinicalTrials.gov
public full text
Public Domain
Mobile Lung Cancer Screening
Lung cancer screening using low-dose CT (LDCT) has been shown to reduce mortality in high-risk populations. In 2022, the French National Cancer Institute (INCa) issued guidelines recommending screening for individuals aged 50-74 with a history of heavy smoking, including current smokers or those who quit less than 15 years ago. A national pilot program (IMPULSION) will be launched in 2025. Lung cancer incidence is strongly correlated with socioeconomic status, yet underserved populations remain difficult to engage in screening programs. Mobile health units using a "reach-out" strategy have demonstrated effectiveness in other countries (UK, Brazil, USA). In France, this approach has been used for breast cancer screening via mobile mammography units. The MobILYAD project aims to compare two screening modalities- a mobile demedicalized unit (CT-equipped van with trained nurses) and a conventional hospital-based unit- to assess the effectiveness of mobile screening in reaching socially disadvantaged populations.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- China Lung Cancer Screening (CLUS) Study Version 2.0#899186
- Lung Cancer Screening Program in Mexico#1349810
- Early Detection of Lung Cancer in Czech High-risk Asymptomatic Individuals#881400
- Use and impact of risk-based eligibility models in low-dose computed tomography lung cancer screening: a systematic review.#427684
- Low Dose Computed Tomography for Lung Cancer Screening#1228097
Record · ID 1321919
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive