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AI reads scans to pinpoint lung cancer type

NCT ID NCT07463300

Diagnosis Sponsor: Second Affiliated Hospital, School of Medicine, Zhejiang 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study is testing whether an artificial intelligence (AI) system can accurately identify different types of lung cancer by analyzing PET/CT scans and patient information like age, smoking history, and tumor markers. Researchers aim to improve how doctors distinguish between small cell and non-small cell lung cancer, and further classify subtypes. The trial will enroll 5,500 adults with newly diagnosed lung cancer who have not yet received treatment.

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

About 5,500 people

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

Started

Aug 2024

Expected to finish

Aug 2027

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.

Who is studied

The target population of this study is patients with lung cancer who have undergone pre-treatment 18F-FDG PET/CT. The study will assess the relationships between PET/CT-based imaging features and clinical variables with the pathological subtypes.

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: * Newly diagnosed NSCLC confirmed pathologically * Age ≥18 y * Underwent pre-treatment 18F-FDG PET/CT scan * No prior anti-tumor treatments * No history of other malignancies Exclusion Criteria: ▪ Pure ground-glass nodules with no FDG uptake

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Conditions

The condition(s) this trial relates to.

disease 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

How to take part

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

  1. The places running it

    9 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

  • Department of Nuclear Medicine and PET/CT Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University

    RECRUITING

    Hangzhou, Zhejiang, 310009, China

  • First Hospital of China Medical University

    RECRUITING

    Shenyang, Liaoning, 110801, China

  • Guangdong Second Provincial General Hospital

    RECRUITING

    Guangzhou, Guangdong, 510403, China

  • Northern Jiangsu People's Hospital

    RECRUITING

    Yangzhou, Jiangsu, 225001, China

  • The First Affiliated Hospital of Zhejiang Chinese Medical University

    RECRUITING

    Hangzhou, Zhejiang, 310006, China

  • West China Hospital

    RECRUITING

    Chengdu, Sichuan, 610041, China

  • Wuhan Tongji Hospital

    RECRUITING

    Wuhan, Hubei, 430030, China

  • Zhejiang Cancer Hospital

    RECRUITING

    Hangzhou, Zhejiang, 310022, China

  • Zhongnan Hospital

    RECRUITING

    Wuhan, Hubei, 430071, China

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