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RecruitingNCT07463300

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

Sponsor

Second Affiliated Hospital, School of Medicine, Zhejiang University

Enrollment

5,500 participants

Start Date

Aug 1, 2024

Study Type

OBSERVATIONAL

Conditions

Lung Cancer

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

Min Age: 18 Years

Inclusion Criteria5

  • 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 Criteria1

  • ▪ Pure ground-glass nodules with no FDG uptake

Interventions

OTHERPET imaging analysis, data mining, and AI model developing

PET imaging analysis, data mining, and AI model developing

Locations(9)

Guangdong Second Provincial General Hospital

Guangzhou, Guangdong, China

Wuhan Tongji Hospital

Wuhan, Hubei, China

Zhongnan Hospital

Wuhan, Hubei, China

Northern Jiangsu People's Hospital

Yangzhou, Jiangsu, China

First Hospital of China Medical University

Shenyang, Liaoning, China

West China Hospital

Chengdu, Sichuan, China

The First Affiliated Hospital of Zhejiang Chinese Medical University

Hangzhou, Zhejiang, China

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

Hangzhou, Zhejiang, China

Zhejiang Cancer Hospital

Hangzhou, Zhejiang, China

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NCT07463300

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