Texture Features of 18 F-Fluorodeoxyglucose Positron Emission Tomography for Predicting Programmed Death-Ligand-1 Levels in Non-Small Cell Lung Cancer

• Published in: Journal of clinical medicine Vol. 13; no. 6
• Main Authors: Norikane, Takashi, Ishimura, Mariko, Mitamura, Katsuya, Yamamoto, Yuka, Arai-Okuda, Hanae, Manabe, Yuri, Murao, Mitsumasa, Morita, Riku, Obata, Takafumi, Tanaka, Kenichi, Murota, Makiko, Kanaji, Nobuhiro, Nishiyama, Yoshihiro
• Format: Journal Article
• Language: English
• Published: Switzerland 12.03.2024
• Subjects: non-small cell lung cancer; texture; programmed death-ligand-1; 18F-fluorodeoxyglucose; positron emission tomography
• ISSN: 2077-0383; 2077-0383

Identifying programmed death-ligand-1 (PD-L1) expression is crucial for optimizing treatment strategies involving immune checkpoint inhibitors. However, the role of intratumoral metabolic heterogeneity specifically derived from F-fluorodeoxyglucose (FDG) positron emission tomography (PET) images in predicting PD-L1 expression in patients with newly diagnosed non-small cell lung cancer (NSCLC) remains unexplored. Here, we investigated the association between FDG PET texture features and PD-L1 expression by retrospectively analyzing the data of patients newly diagnosed with NSCLC who underwent FDG PET/CT scans and PD-L1 immunohistochemical staining before treatment. Patients were categorized based on their tumor proportion scores (TPSs) into negative-, low-, and high-PD-L1 expression groups. We computed the maximum standardized uptake value and 31 texture features for the primary tumor from PET images and compared differences in parameters among the groups. Of the 83 patients, 12, 45, and 26 were assigned to the negative-, low-, and high-PD-L1 expression groups, respectively. Six specific texture features (low gray-level run emphasis, short-run low gray-level emphasis, long-run high gray-level emphasis, low gray-level zone emphasis, high gray-level zone emphasis, and short-zone low gray-level emphasis) helped distinguish among all possible combinations. Our findings revealed that FDG PET texture features are potential imaging biomarkers for predicting PD-L1 expression in patients newly diagnosed with NSCLC.