Clinical Study on Predicting Mediastinal Lymph Node Metastasis in Patients with Lung Cancer by the Predictive Model Based on Clinical Characteristics and Radiomics
Clinical Study on Predicting Mediastinal Lymph Node Metastasis in Patients with Lung Cancer by the Predictive Model Based on Clinical Characteristics and Radiomics
Investigators combined the clinical and radiomics characteristics of resectable non-small cell lung cancer patients to construct an accurate model for preoperative prediction of mediastinal lymph node status. For the patients in the experimental group, lymph nodes will be dissected based on the predicted lymph node status by the model, while in the control group, the lymph nodes will be dissected according to the NCCN guidelines (2023). Investigators expect that performing lymph node dissection according to the predictive model can lead to better prognosis for patients.
Investigators combined the clinical and radiomics characteristics of resectable non-small cell lung cancer patients to construct an accurate model for preoperative prediction of mediastinal lymph node status. Investigators will randomly divide all enrolled patients into an experimental group and a control group. For the patients in the experimental group, lymph nodes will be dissected based on the predicted lymph node status by the model, while in the control group, the lymph nodes will be dissected according to the NCCN guidelines (2023). Investigators will calculate the consistency between preoperative prediction results and postoperative pathological results to verify the accuracy of the model. And investigators will evaluate the impact of this new lymph node dissection method on prognosis by comparing the intraoperative blood loss, postoperative complications, disease-free survival, and overall survival between the two groups of patients. Investigators expect that performing lymph node dissection according to the predictive model can lead to better prognosis for patients.
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