Can a new CT algorithm spot asbestos damage with far less radiation?

NCT ID NCT01955018

First seen Aug 07, 2026 ยท Last updated Aug 07, 2026

Summary

This trial tests whether a new CT image-reconstruction algorithm called Veo can detect asbestos-related lung and pleural changes as accurately as the standard method, while delivering a much lower radiation dose. The study involves 90 workers previously exposed to asbestos, who will undergo CT scans using both techniques. The goal is to see if the ultra-low-dose approach can maintain image quality and diagnostic accuracy, potentially making screening safer for people at risk of asbestos-related diseases.

What this could mean

Our plain-language read of the trial. This is informational only โ€” not medical advice or a prediction.

Active substance
A new CT image-reconstruction algorithm called Veo
What this could lead to
If it works, this could make CT screening safer for asbestos-exposed workers by cutting radiation exposure while keeping image quality high.
What could go wrong
The trial is small and early, and the new algorithm may not detect all subtle asbestos-related changes as reliably as the standard method.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Locations

  • CHU Clermont-Ferrand

    Clermont-Ferrand, 63003, France