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

Recruiting Observational Study
Lung Cancer
No Placebo Group Every participant receives an active treatment — no one gets a placebo. No Study Drug Researchers observe your health over time — no experimental treatment is given.
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At a Glance
Age
18 and older
Sex
Any
Study type
Observational
Participants needed
5,500 (estimated)
Sponsor
Second Affiliated Hospital, Zhejiang University, School of Medicine · Other
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About This Trial

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

Trial Locations
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Eligibility Criteria
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
Contacts

Hong Zhang

0086-571-87767138

hzhang21@zju.edu.cn

CONTACT

Xiaohui Zhang

0086-571-87767138

zhanghui4127@zju.edu.cn

CONTACT