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

Category Primary study
Registry of Trialsclinicaltrials.gov
Year 2024
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.
Epistemonikos ID: 29b943e6591434094629b9af4363035532f3b559
First added on: Nov 01, 2024