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AI-Powered CT scan cuts radiation while spotting lung nodules

NCT ID NCT04482114

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tested whether an ultra-low dose CT scan, combined with a deep-learning AI reconstruction, can detect lung nodules as accurately as the standard low-dose CT. 70 adults having a chest CT for nodule check-up or follow-up received an extra ultra-low dose scan. The goal was to see if the new method could reduce radiation exposure without missing nodules.

What this could mean

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

What this could lead to
If successful, this could lead to safer lung nodule screening with much less radiation.
What could go wrong
This is a small, completed study (70 people) comparing imaging methods, not testing a treatment. Results may not apply to all patients or settings.

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

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

70 people

The number who actually took part.

Started

Jul 2020

Finished

Mar 2022

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 years and older

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

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: * Age ≥ 18 years old, * Patient referred for non-enhanced chest CT for lung nodule check-up or follow-up, * Affiliation to a social security program, * Ability of the subject to understand and express opposition Exclusion Criteria: * Age \<18 years old, * Person under guardianship or curatorship, * Pregnant woman, * Any contraindications to CT

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Conditions

The condition(s) this trial relates to.

lung neoplasm Multiple Pulmonary Nodules

As listed by the trial registrant

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

Contacts and locations

Locations

  • CHU Amiens-Picardie

    Amiens, France, 80000, France

More trials for these conditions

Other studies related to the condition(s) this trial covers.