This study aims to explore the application of Surface-enhanced Raman Scatting (SERS) technology in lung cancer surgery and clarify its mechanism through multi-omics mass spectrometry platform, and then further prove the clinical transformation value of this technology.
This study intends to apply the intraoperative navigation system based on Surface-enhanced Raman Scatting (SERS) technology to detect the PH of lung tissue, and to evaluate the benign and malignant resection margins of lung tissue based on this. In order to clarify the discrimination mechanism, a multi-omics mass spectrometry platform is planned to study the internal small molecules and pathway changes. In addition, the patients were followed up for five years to explore the correlation between the prognosis of patients and the PH of lung tissues and lymph nodes, which could prove the clinical transformation value of this technology.
Study Type
OBSERVATIONAL
Enrollment
200
Overall Survival(OS)
Time from randomization to death (from any cause).
Time frame: From date of randomization until the date of death from any cause, whichever came first, assessed up to 60 months
Recurrence free survival(RFS)
The time from surgery to recurrence or the end of follow-up was defined.
Time frame: From date of randomization until the date of first documented progression from any cause, whichever came first, assessed up to 60 months
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