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A Prospective, Non-interventional Cohort Study of Subsolid Pulmonary Nodules
Sponsor: Guangdong Provincial People's Hospital
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