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临床试验/NCT06775015
NCT06775015尚未招募不适用

SERS-Based Serum Molecular Spectral Detection of Lung Cancer Microinvasion Versus Invasion Screening: A Multicenter, Open-Label, Double-Blind, Independent Data Analysis Clinical Trial

Fuzhou General Hospital1 个研究点 分布在 1 个国家目标入组 200 人开始时间: 2026年4月4日最近更新:
适应症

试验速览

阶段
不适用
状态
尚未招募
入组人数
200
试验地点
1
主要终点
Time to RAMAN diagnosis

研究概览

简要总结

Surgery is the main treatment for early lung cancer. It is worth noting that there are significant differences in postoperative prognosis and surgical methods between microinvasive cancer and early-stage invasive cancer. Micro invasive lung cancer can achieve 100% long-term survival through surgical resection, without the need for postoperative adjuvant radiotherapy. There is no need to remove lung lobes during surgery, only segmental or wedge resection is required, and systematic lymph node dissection is not recommended. Therefore, accurate prediction of preoperative and intraoperative microinvasive cancer and invasive cancer in pulmonary nodules is crucial for patients to choose surgical methods, which can significantly affect postoperative lung function retention and overall survival.

Raman spectroscopy (RS), as a non-invasive and highly specific molecular detection technique, can be obtained at the molecular level to sensitively detect changes in biomolecules composed of proteins, nucleic acids, lipids, and sugars related to tumor metabolism in biological samples. The surface enhanced Raman spectroscopy (SERS) developed based on this technology is one of the feasible methods for high-sensitivity biomolecule analysis.

We collected serum Raman spectroscopy data from a cohort of 138 early lung cancer patients in our preliminary research. Based on a machine learning model, we constructed an early lung microinvasive cancer and invasive cancer Raman intelligent diagnosis system, which achieved an accuracy rate of 89.4%. To obtain the highest level of clinical evidence and truly achieve clinical translation, this prospective, multicenter clinical study aims to validate the use of this intelligent diagnostic system for early diagnosis of lung cancer and the discrimination between microinvasive cancer and invasive cancer.

详细描述

  1. Screening interested participants should sign the appropriate informed consent (ICF) prior to completion any study procedures.
  2. The investigator will review symptoms, risk factors, and other non-invasive inclusion and exclusion criteria.
  3. Completion of baseline procedures, participants were assessed for 30 days and completed all safety monitoring.
  4. After completing the baseline assessment and confirming enrollment, participants will be given 2ml of fasting venous blood.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Participants confirmed by chest CT to have pulmonary nodules
  • The diagnosis of participants with malignant pulmonary nodules must meet the TNM diagnostic criteria (Ninth Edition);
  • Participants are willing to participate in this study and follow the research plan;
  • Participants or legally authorized representatives can give written informed consent approved by the Ethics Review Committee that manages the website;

排除标准

  • Participants with concomitant other malignant tumors;
  • Participants with missing baseline clinical data;
  • Participants with severe underlying lung diseases (such as bronchiectasis, bronchial asthma or COPD, etc.), or those with a history of occupational or environmental exposure to dust, mines or asbestos;
  • Participants who do not cooperate or refuse to participate in clinical trials at a later stage.

结局指标

主要结局

Time to RAMAN diagnosis

时间窗: up to 30 days

The time to perform RAMAN testing and obtain diagnostic results after obtaining serum

Diagnostic accuracy

时间窗: through study completion, an average of 1 year

Determine whether there is hematogenous metastasis in enrolled lung cancer patients through RAMAN intelligent diagnostic system

次要结局

  • Safety assessment Results(up to 30 days)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

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