Clinical trials: Lymphovascular Invasion
Non-small Cell Lung Cancer, Spread Through Air Space
Deep Learning Signature for Predicting Aggressive Histological Pattern in Resected Non-small Cell Lung Cancer
The purpose of this study is to evaluate the performance of a PET/ CT-based deep learning signature for predicting aggressive histological pattern in resected non-small cell lung cancer based on a multicenter prospective cohort.
- Conditions
- Non-small Cell Lung Cancer, Spread Through Air Space, Visceral Pleural Invasion, Lymphovascular Invasion
- Trial name
- NCT05925738
- Testing
- PET/CT-based Deep Learning Signature
- Where
- 3 sites in China
- Volunteers
- 1,500 people, healthy volunteers welcome
- Sponsor
- Shanghai Pulmonary Hospital, Shanghai, China