phaidra.vetmeduni.ac.at o:5343 DOI 10.1007/s00259-025-07435-4 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, skeletal muscle at L1–L5. LASSO regression identified key body composition features, and a logistic regression-based nomogram was constructed and validated through ROC analysis, calibration, decision curve analysis, and survival analysis. Results LVI was present in 66/153 (43.1%) of Vienna and 39/95 (41.1%) of Budapest patients. The nomogram, developed using the Vienna training cohort, incorporating MTV, N stage, and body composition achieved an AUC of 0.839 and 0.790 in the Budapest validation cohort. Statistical tests confirmed that the nomogram significantly outperformed models based on either clinical (p = 7.92e-06) or imaging variables alone (p = 0.0474). Furthermore, LVI predicted by the nomogram was associated with significantly poorer 3-year recurrence-free and 5-year survival. Conclusion Integrating body composition with clinical and tumor metabolic features from PET/CT enables preoperative prediction of LVI in NSCLC, supporting improved risk stratification. eng NSCLC Lymphovascular Invasion Body Composition 18F-FDG PET/CT 2026-07-15T08:10:34.511Z LOMv1.0 Author BEGIN:VCARD VERSION:3.0 N:Jiang;Zewen; FN:Zewen Jiang END:VCARD BEGIN:VCARD VERSION:3.0 N:Haberl;David; FN:David Haberl END:VCARD BEGIN:VCARD VERSION:3.0 N:Spielvogel;Clemens; FN:Clemens Spielvogel END:VCARD BEGIN:VCARD VERSION:3.0 N:Szakall;Szabolcs; FN:Szabolcs Szakall END:VCARD BEGIN:VCARD VERSION:3.0 N:Molnar;Peter; FN:Peter Molnar END:VCARD BEGIN:VCARD VERSION:3.0 N:Yu;Josef; FN:Josef Yu END:VCARD BEGIN:VCARD VERSION:3.0 N:Lungu;Victor; FN:Victor Lungu END:VCARD BEGIN:VCARD VERSION:3.0 N:Fillinger;Janos; FN:Janos Fillinger END:VCARD BEGIN:VCARD VERSION:3.0 N:Renyi-Vamos;Ferenc; FN:Ferenc Renyi-Vamos END:VCARD BEGIN:VCARD VERSION:3.0 N:Aigner;Clemens; FN:Clemens Aigner END:VCARD BEGIN:VCARD VERSION:3.0 N:Dome;Balazs; FN:Balazs Dome END:VCARD BEGIN:VCARD VERSION:3.0 N:Lang;Christian; FN:Christian Lang END:VCARD BEGIN:VCARD VERSION:3.0 N:Kenner;Lukas; FN:Lukas Kenner X-ORCID:https://orcid.org/0000-0003-2184-1338 END:VCARD BEGIN:VCARD VERSION:3.0 N:Megyesfalvi;Zsolt; FN:Zsolt Megyesfalvi END:VCARD BEGIN:VCARD VERSION:3.0 N:Hacker;Marcus; FN:Marcus Hacker X-ORCID:https://orcid.org/0000-0002-4222-4083 END:VCARD https://w3id.org/kim/hcrt/scheme https://w3id.org/kim/hcrt/text Textdokument Text LOMv1.0 yes https://creativecommons.org/licenses/by/4.0 application/pdf 2032849 https://phaidra.vetmeduni.ac.at/o:5343 https://phaidra.vetmeduni.ac.at/api/object/o:5343/thumbnail LOMv1.0 discipline