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

NCT07463300 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 5500

Last updated 2026-03-11

No results posted yet for this study

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

Conditions

Interventions

OTHER

PET imaging analysis, data mining, and AI model developing

PET imaging analysis, data mining, and AI model developing

Sponsors & Collaborators

  • First Hospital of China Medical University

    collaborator OTHER

  • West China Hospital

    collaborator OTHER

  • Zhongnan Hospital

    collaborator OTHER

  • Zhejiang Cancer Hospital

    collaborator OTHER

  • Guangdong Second Provincial General Hospital

    collaborator OTHER

  • The First Affiliated Hospital of Zhejiang Chinese Medical University

    collaborator OTHER

  • Wuhan TongJi Hospital

    collaborator OTHER

  • Northern Jiangsu People's Hospital

    collaborator OTHER

  • Second Affiliated Hospital, School of Medicine, Zhejiang University

    lead OTHER

Principal Investigators

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

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-08-01
Primary Completion
2027-08-01
Completion
2027-08-01

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07463300 on ClinicalTrials.gov