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.
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5-year growth rate of subsolid pulmonary nodules
Timeframe: Regular follow-up was carried out according to clinical guidelines and local hospital guidelines, with an interval of 3-6 months and a duration of 5 years