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NCT06458673

A Prospective, Non-interventional Cohort Study of Subsolid Pulmonary Nodules

Sponsor: Guangdong Provincial People's Hospital

View on ClinicalTrials.gov

Summary

Some studies have shown that the model for judging and predicting the growth of sub-solid pulmonary nodules through big data and deep learning can detect nodule growth earlier. Since most of the training data come from large foreign samples, most of the validated data are CT data from a single center or a few centers, and their generalization ability needs to be further verified. In order to better study subsolid pulmonary nodules in the lungs in China, we plan to conduct a prospective, multicenter, non-interventional observational cohort study.

Official title: Prediction of Growth Trend of Pulmonary Nodules Based on Multi-temporal and Multimodal Medical Data and Its Impact on Pulmonary Nodule Management Strategies

Key Details

Gender

All

Age Range

18 Years - Any

Study Type

OBSERVATIONAL

Enrollment

1184

Start Date

2024-12-01

Completion Date

2030-11-30

Last Updated

2024-12-02

Healthy Volunteers

No

Locations (1)

Guangdong Provincial People's Hospital

Guangzhou, Guangdong, China