Using 18F-FDG PET/CT-derived body composition features to predict lymphovascular invasion in non-small cell lung cancer
Abstract: Lymphovascular invasion (LVI) in non-small cell lung cancer (NSCLC) is a critical prognostic marker linked to higher risks of metastasis and recurrence. This study aimed to develop a non-invasive predictive model using body composition features from 18F-FDG PET/CT imaging to assess LVI risk in early-stage NSCLC patients. Methods: We retrospectively analyzed 248 patients, including 153 fr
