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NCT07463300

A Hierarchical Multi-modal AI Framework for Pathological and Genetic Subtyping of Lung Cancer Based on PET/CT Imaging

Recruiting now Last updated 11 March 2026
What this trial tests

trial testing PET imaging analysis, data mining, and AI model developing in Lung Cancer in 5,500 participants. Currently enrolling.

Timeline
1 August 2024
Primary endpoint
1 August 2027
1 August 2027

Quick facts

Lead sponsorSecond Affiliated Hospital, School of Medicine, Zhejiang University
StatusRecruiting now
Study typeOBSERVATIONAL
Enrollment5,500
Start date1 August 2024
Primary completion1 August 2027
Estimated completion1 August 2027
Sites9 locations across China

Drugs / interventions tested

Conditions studied

Sponsor

Second Affiliated Hospital, School of Medicine, Zhejiang University

Who can join

18 and older, any sex, with Lung Cancer. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

PET/CT imaging and clinical information (age, gender, smoking history, family history of cancer, history of present illness, and several tumor biomarkers, etc.) were used to establish a hierarchical multi-modal AI framework for pathological and genetic subtyping of lung cancer

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Lung Cancer

Currently open trials in the same condition.

Other Second Affiliated Hospital, School of Medicine, Zhejiang University trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

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