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AI could help doctors spot lung cancer earlier, avoid unnecessary biopsies

NCT ID NCT05968898

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
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
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests an FDA-approved AI software that analyzes CT scans of lung nodules to estimate cancer risk. 300 adults aged 35-89 with newly found lung nodules will be randomly assigned to have their doctors use the AI tool or not. The goal is to see if the AI helps doctors manage nodules more appropriately—recommending monitoring for benign ones and prompt action for cancerous ones.

What this could mean

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

Active substance
Optellum Virtual Nodule Clinic (AI software device)
What this could lead to
If successful, this AI tool could help doctors more accurately identify which lung nodules are cancerous, leading to faster treatment for cancer and fewer unnecessary biopsies for benign nodules.
What could go wrong
This is a relatively small, early-stage trial (300 participants) testing a device already FDA-approved. The AI may not improve outcomes in all settings, and its effectiveness depends on how doctors use it.

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

About 300 people

The number the study aims to enrol. It can still change while the study runs.

Started

Jan 2024

Expected to finish

Jul 2030

An estimate. End dates often move.

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

35 to 89 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: 1. Male or female, aged 35-89 years 2. Scheduled to be evaluated at a UPHS PN clinic 3. Newly discovered solid or part-solid indeterminate PN 8-30mm in maximal diameter on CT imaging within 60 days of index clinic visit 4. Chest CT imaging meeting the technical requirements for compatibility with Optellum Virtual Nodule Clinic software Exclusion Criteria: 1. Chest CT imaging with discrete mediastinal or hilar lymphadenopathy by CT size criteria (\>10mm in maximal short-axis diameter on axial CT images) 2. PNs with popcorn calcification (consistent with benign etiology) 3. Pure ground-glass subsolid PNs (may be associated with lower risk of clinically significant malignancy) 4. PN previously seen on CT imaging \>60 days prior to most recent CT 5. More than one indeterminate PN 8-30mm in maximal diameter 6. History of lung cancer 7. History of active cancer within the previous 5 years 8. Presence of a thoracic implant that impedes PN visualization

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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.

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    3 sites. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • Penn Medicine University City

    RECRUITING

    Philadelphia, Pennsylvania, 19104, United States

  • Penn Medicine Washington Square

    RECRUITING

    Philadelphia, Pennsylvania, 19107, United States

  • Perelman Center for Advanced Medicine

    RECRUITING

    Philadelphia, Pennsylvania, 19104, United States

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