AI-Assisted Chest CT Interpretation Across the Lung Cancer Care Continuum
NCT07829640
Lung Cancer, Lung Diseases
Wuhan, Hubei, China
View Trial DetailsNCT Number: NCT05881057
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.
Trial opening soon.
Get Notified19 year–75 year
All sexes
Observational
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.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: From date of randomization until the date of death from any cause, whichever came first, assessed up to 60 months
Time from randomization to death (from any cause).
Time frame: From date of randomization until the date of first documented progression from any cause, whichever came first, assessed up to 60 months
The time from surgery to recurrence or the end of follow-up was defined.
Trial opening soon.
Get NotifiedShanghai Pulmonary Hospital, Shanghai, China
Other
Application of Surface-enhanced Raman Scatting (SERS) Technology Based Intraoperative Navigation System in Lung Cancer
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