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NCT07882628

Diagnostic Performance of an AI-Based Multi-Omics Model for Early Lung Cancer

Sponsor: Beijing Chao Yang Hospital

View on ClinicalTrials.gov

Summary

This is a prospective, multicenter observational cohort study for patients with lung nodules suspicious for early-stage lung cancer. The study aims to build AI-assisted diagnostic models by integrating clinical data, CT imaging and multi-omics biomarkers, and validate a rapid evaluation system for bronchoscopic biopsy specimens. No investigational drugs or devices will be applied; all participants receive routine clinical care. We will collect clinical records, CT images, blood and tissue samples, and conduct long-term follow-up of disease outcomes. A total of 1050 subjects will be enrolled from 8 participating hospitals in China.

Official title: Establishment and Application of an AI-Based Multi-Omics Model for Early and Precise Diagnosis of Lung Cancer

Key Details

Gender

All

Age Range

18 Years - 75 Years

Study Type

OBSERVATIONAL

Enrollment

1050

Start Date

2026-10-21

Completion Date

2028-12

Last Updated

2026-10-20

Healthy Volunteers

No

Locations (8)

Beijing Chao Yang Hospital

Beijing, Beijing Municipality, China

Beijing Anzhen Hospital, Capital Medical University

Beijing, Beijing Municipality, China

Beijing Friendship Hospital, Capital Medical University

Beijing, Beijing Municipality, China

Peking University Cancer Hospital

Beijing, Beijing Municipality, China

Peking University Third Hospital

Beijing, Beijing Municipality, China

Miyun District Hospital of Beijing

Beijing, Beijing Municipality, China

Fangshan Hospital, Beijing University of Chinese Medicine

Beijing, Beijing Municipality, China

The Third Xiangya Hospital of Central South University

Changsha, Hunan, China