Background/Purpose: To assess whether 18F FDG PET/CT imaging can predict non-small cell lung cancer (NSCLC) patients with strong PD-L1 expression (≥50%).
Methods: This retrospective study analyzed 149 NSCLC patients who had undergone baseline 18F FDG PET/CT imaging from June 2021 to May 2024. We recorded age, sex, smoking history, histopathology, TNM stage, metastasis, and PD-L1 expression levels. PET/CT parameters such as SUVmax, SUVmean, metabolic tumor volume (MTV), and total lesion glycolysis (TLG) were recorded. Patients were dichotomized based on two PD-L1 expression thresholds, as measured by immunohistochemistry: higher or lower than 1% (<1%, n = 62 versus >1%, n = 87) and higher or lower than 50% (<50%, n = 100 versus ≥50%, n = 39).
Results: No significant results were found for the comparison of PD-L1 negative (<1%) and positive (≥1%) patients. The <50% and ≥50% groups were similar in terms of all examined characteristics and PET/CT parameters except for TLG, which was significantly higher among patients with strong PD-L1 expression. ROC analysis revealed an area under curve of 0.606 (95% CI: 0.508–0.705, p = 0.049) for the discrimination of patients with and without strong PD-L1 expression, yielding 89.7% sensitivity, 30% specificity, and 45.6% overall accuracy.
Conclusion: This study identified TLG as a potential predictor for NSCLC patients with strong PD-L1 expression (≥50%) based on 18F FDG PET/CT imaging, despite low accuracy. High sensitivity and negative predictive value suggest a role as a supportive tool in screening.
18F-fluorodeoxyglucose positron emission tomography programmed death-ligand-1 non-small cell lung cancer
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Primary Language | English |
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Subjects | Radiology and Organ Imaging |
Journal Section | Clinical Research |
Authors | |
Early Pub Date | December 10, 2024 |
Publication Date | |
Submission Date | September 14, 2024 |
Acceptance Date | November 19, 2024 |
Published in Issue | Year 2025Issue: Kabul Edilen Makaleler |