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First received: October 24, 2024

Clinical Trial: Deep Learning Model to Predict the Recurrence of Stage IA Invasive Lung Adenocarcinoma After Sub-lobar Resection

Study Status: COMPLETED

Recruit Status: COMPLETED

Condition: Focus on Developing a Deep Learning Model to Predict the Recurrence Risk of Stage IA Invasive Lung A

Study Type: OBSERVATIONAL


Official Title: Deep Learning Model to Predict the Recurrence of Stage IA Invasive Lung Adenocarcinoma After Sub-lobar Resection

Brief Summary: This study aims to develop a deep learning model based on noncontrast CT images to predict the recurrence risk of stage IA invasive lung adenocarcinoma after sub-lobar resection?which can serve as potential tool to assist thoracic surgeons in making optimal treatment decisions.The study will use existing CT data to train and validate the model, without requiring any additional intervention for the participants.

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