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

NCT ID NCT01955018

Diagnosis Sponsor: University Hospital, Clermont-Ferrand Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Aug 07, 2026 · 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, 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.

Study facts

What this study's own registry entry says, in plain language.

Phase

Phase 4

Runs after approval, following long-term safety and how well the treatment works in everyday use.

Participants

90 people

The number who actually took part.

Start date

Sep 2012

Finished

May 2013

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Ages

18 to 90 years

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * asbestos-exposed workers * ability to give a written informed consent Exclusion Criteria: * \- previous history of cancer * previous history of thoracic surgery * other interstitial pathology known

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Conditions

The condition(s) this trial relates to.

neoplasm

As listed by the trial registrant

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

Asbestos-exposed workers

Contacts and locations

Locations

  • CHU Clermont-Ferrand

    Clermont-Ferrand, 63003, France