Deep Learning Signature for Predicting Occult Nodal Metastasis of Clinical N0 Lung Cancer
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- STATUS
- Recruiting
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- End date
- Dec 31, 2023
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- participants needed
- 5000
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- sponsor
- Shanghai Pulmonary Hospital, Shanghai, China
Summary
The purpose of this study is to compare the predictive performance of a PET/CT-based deep learning signature with the tumor maximum standardized uptake value (SUVmax) on PET for occult nodal metastasis prediction of clinical stage N0 non-small cell lung cancer in a multicenter prospective cohort.
Details
| Condition | Non-small Cell Lung Cancer |
|---|---|
| Treatment | PET/CT-based Deep Learning Signature |
| Clinical Study Identifier | NCT05425134 |
| Sponsor | Shanghai Pulmonary Hospital, Shanghai, China |
| Last Modified on | 7 October 2022 |
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