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.
Read more