Association between PD-L1 expression and 18F-FDG uptake in ovarian cancer

Yun Jung Choi, Kwan Hyeong Jo, Sang Hyun Hwang, Yong Hyu Jeong, Jung Yun Lee, Sunghoon Kim, Sang Wun Kim, Young Tae Kim, Won Jun Kang

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Objective: Immunotherapy for programmed cell death 1 (PD-1) and its ligand, PD-L1, has been considered an effective treatment for ovarian cancer. 18F-labeled fluoro-2-deoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) is a widely used noninvasive imaging tool for diagnosing several cancers. In this study, we investigated the association between PD-L1 expression and the maximum standardized uptake value (SUVmax) using 18F-FDG PET/CT. Methods: We retrospectively analyzed clinical data of patients with ovarian cancer who underwent 18F-FDG PET/CT. Patients were categorized into two groups according to PD-L1 expression results. The relationship between clinicopathological characteristics of patients with ovarian cancer and PD-L1 expression was examined. Results: SUVmax was significantly higher in PD-L1-positive tumors than in PD-L1-negative tumors (16.1 ± 5.2 and 12.7 ± 7.0, respectively; p = 0.026). There were no significant differences in age, histologic type, and tumor grade between the PD-L1-negative and PD-L1-positive groups. The receiver operating characteristic curve analysis demonstrated that the highest accuracy (61.8%) for predicting PD-L1 expression was obtained with an SUVmax cutoff value of 10.5. Conclusion: There was a significant correlation between 18F-FDG uptake and PD-L1 expression, suggesting a role of 18F-FDG PET/CT in selecting ovarian cancer candidates for anti-PD-L1 antibody therapy.

Original languageEnglish
Pages (from-to)415-420
Number of pages6
JournalAnnals of Nuclear Medicine
Issue number4
Publication statusPublished - 2021 Apr

Bibliographical note

Publisher Copyright:
© 2021, The Japanese Society of Nuclear Medicine.

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging


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