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Can CT scans outsmart COVID-19? massive study aims to find out

NCT ID NCT04355507

Diagnosis Sponsor: Assistance Publique - Hôpitaux de Paris 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study looked at CT scans from over 10,000 people to see if they can help diagnose COVID-19 more accurately. Researchers compared CT results with standard PCR tests and also used AI to predict which patients might need a ventilator. The goal is to make diagnosis faster and help doctors make better treatment decisions.

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 faster and more accurate COVID-19 diagnosis using CT scans, and help predict which patients may need a ventilator.
What could go wrong
This is a completed study analyzing existing data, not testing a new treatment. CT scans may not replace PCR tests and results may not apply to future variants.

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.

Participants

10,735 people

The number who actually took part.

Started

Mar 2020

Finished

Oct 2020

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.

Who is studied

Patients with suspicions of COVID-19 pneumonia

Ages

18 years and older

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: * Age\>18 years * CT examination performed for suspicion or follow-up of COVID-19 * Non opposition for use of data Exclusion Criteria: * Unavailability of RT-PCR results for SARS-Cov-2 * Failure of CT image anonymized export

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Conditions

The condition(s) this trial relates to.

COVID-19

As listed by the trial registrant

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

COVID -19

Contacts and locations

Locations

  • Cochin Hospital

    Paris, 75014, France

More trials for these conditions

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