Early-Stage Lung Cancer Clinical Trial
Official title:
Detection of Early-stage Lung Cancer Using Machine Learning and Plasma Metabolomics
There are no reliable blood-based tests currently available for early-stage lung cancer diagnosis. We try to establish a highly accurate method for detecting early-stage lung cancer by combining machine learning with untargeted and targeted metabolomics .
All plasma lipids were first detected by untargeted metabolomics methods and 9 feature lipids of early-stage lung cancer were selected by support vector machine algorithm. Then, a targeted metabolomics method was developed to detect the 9 lipids quantitatively based on multiple reaction monitoring mode. Finally, a detection model was established based on the 9 lipids. ;
| Status | Clinical Trial | Phase | |
|---|---|---|---|
| Recruiting |
NCT05555199 -
Injection of 99mTc-nanocolloid and ICG to Identify, Retrieve and Qualify TDLN in Early-stage NSCLC
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N/A |