Background
lung cancer
LUNG CANCER
Lobectomy with mediastinal systematic lymph node dissection (SND) is standard surgical strategy for lung cancer [The negative predictive value (NPV) of invasive endoscopic techniques is still unsatisfactory currently due to the difficulty of the selection suspected LN caused by the anatomical complexity of mediastinum, the location and size of LN, and the poor repeatability, etc. [Previous radiomics analyses based on PET/CT have demonstrated the great potential of assessing the lymph node metastasis (LNM) in lung cancer using the machine learning (ML) algorithms to exhaust the full underlying information of non-invasive medical images [Thus, the purpose of this study was to seek a more reliable, scalable and non-invasive biomarker-based CBR data via ML algorithms to reduce the FPR and improve the accuracy for predicting the hypermetabolic mediastinal–hilar LNs status in lung cancer.