Prognostic Value of PET-Based Metabolic Markers in Nivolumab-Treated NSCLC
Objective: This study aimed to assess the prognostic significance of 18F-FDG PET/CT metabolic parameters in patients with non-small cell lung cancer (NSCLC) receiving nivolumab as second-line therapy. The study also explored associations between these parameters, treatment response, and survival outcomes. Methods: A retrospective analysis was performed on 32 stage IV NSCLC patients who received at least four doses of nivolumab and underwent both baseline and follow-up PET/CT scans. Metabolic parameters, including SUVmax, SUVmean, total metabolic tumor volume (tMTV), and total lesion glycolysis (tTLG), were measured. Treatment response was classified according to EORTC criteria. Kaplan–Meier analysis and log-rank tests were applied for survival comparisons, and non-parametric methods evaluate associations. Results: Patients with partial metabolic response demonstrated significantly longer post-nivolumab survival. Post-treatment SUVmax, SUVmean, and tTLG differed significantly among response categories. Pretreatment tMTV and tTLG, and post-treatment SUVmax, SUVmean, and tTLG, were significantly associated with mortality (p
Authors
- Gözde Mütevelizade (ORCID: https://orcid.org/0000-0001-5986-8777)
- Nagihan Kolkıran (ORCID: https://orcid.org/0000-0001-9344-7212)
- Atike Pınar Erdoğan (ORCID: https://orcid.org/0000-0003-4859-7574)
- Elvan Sayıt (ORCID: https://orcid.org/0000-0002-3330-1702)
- Bilal Çağrı Bozdemir (ORCID: https://orcid.org/0009-0006-3935-0018)
- Nazım Aydın (ORCID: https://orcid.org/0009-0003-0689-448X)
Institutions
- Manisa Celal Bayar University (TR)
- University of Health Sciences (SO)
Publication Details
- Journal
- Molecular Oncologic Imaging
- Published
- 2025-08-11
- DOI
- https://doi.org/10.71286/moi.1727407
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00