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 from Vienna (training cohort) and 95 from Budapest (validation cohort). Preoperative ¹⁸F-FDG PET/CT scans were used to assess tumor metabolic parameters, including standardized uptake values (SUVmax, SUVmean), metabolic tumor volume (MTV), and total lesion glycolysis (TLG), as well as body composition features, including visceral, subcutaneous, and intermuscular adipose tissue, ske

SUBMITTER: Jiang Z 

PROVIDER: S-EPMC12830411 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature