AI reads scans to pinpoint lung cancer type

NCT ID NCT07463300

Recruiting now Diagnosis Sponsor: Second Affiliated Hospital, School of Medicine, Zhejiang University Source: ClinicalTrials.gov ↗

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.

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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

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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