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Can artificial intelligence make lung cancer staging more accurate?

NCT ID NCT06540196

Diagnosis Sponsor: McMaster University Source: ClinicalTrials.gov ↗

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jul 30, 2026 · Last updated Jul 31, 2026 · Updated 1 time

Summary

This trial tests an artificial intelligence platform called NodeAI that analyzes ultrasound images in real time during a lung cancer staging procedure. The goal is to see if the AI can predict whether lymph nodes contain cancer more accurately than a surgeon's visual assessment. About 600 adults with suspected or confirmed non-small cell lung cancer will take part. If the AI works well, it could help doctors make better treatment decisions and reduce the need for repeat procedures.

What this could mean

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

Active substance
an artificial intelligence software called NodeAI that analyzes ultrasound images during a lung cancer staging procedure
What this could lead to
If successful, NodeAI could make lung cancer staging faster and more accurate, helping doctors choose the right treatment sooner.
What could go wrong
This is an early feasibility trial, so the AI may not yet be reliable enough for routine use. The technology must prove it can match or beat the skill of experienced surgeons.

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 600 people

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

Started

Jan 2025

Expected to finish

Dec 2026

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

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: * Patients ≥ 18 years of age diagnosed with suspected or confirmed NSCLC based on CT and PET scans that are referred for chest staging by EBUS-TBNA * CT and PET scans completed Exclusion Criteria: * Patients with cN0 disease AND peripheral tumors AND tumors \< 2 cm in diameter (those do not require chest staging)

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Conditions

The condition(s) this trial relates to.

lung cancer lung neoplasm non-small cell lung carcinoma

As listed by the trial registrant

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

Lung cancer Non-small cell lung cancer

How to take part

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

  1. The places running it

    1 site. 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

  • St. Joseph's Healthcare Hamilton

    RECRUITING

    Hamilton, Ontario, L8N 4A6, Canada

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