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

RECRUITINGSponsored by Second Affiliated Hospital, School of Medicine, Zhejiang University
Actively Recruiting
SponsorSecond Affiliated Hospital, School of Medicine, Zhejiang University
Started2024-08-01
Est. completion2027-08-01
Eligibility
Age18 Years+
Healthy vol.Accepted
View on ClinicalTrials.gov →

NCT07463300

Summary

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

Eligibility

Age: 18 Years+Healthy volunteers accepted
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

Conditions2

CancerLung Cancer

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