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289 results on '"Mitamura, Katsuya"'

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

Author

Norikane, Takashi, primary, Ishimura, Mariko, additional, Mitamura, Katsuya, additional, Yamamoto, Yuka, additional, Arai-Okuda, Hanae, additional, Manabe, Yuri, additional, Murao, Mitsumasa, additional, Morita, Riku, additional, Obata, Takafumi, additional, Tanaka, Kenichi, additional, Murota, Makiko, additional, Kanaji, Nobuhiro, additional, and Nishiyama, Yoshihiro, additional

Published
2024
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38. Texture Features of 18 F-Fluorodeoxyglucose Positron Emission Tomography for Predicting Programmed Death-Ligand-1 Levels in Non-Small Cell Lung Cancer.

Author

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, and Nishiyama, Yoshihiro

Subjects
POSITRON emission tomography, NON-small-cell lung carcinoma, IMMUNOSTAINING, IMMUNE checkpoint inhibitors, COMPUTED tomography
Abstract

Background: 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 18F-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. Methods: 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. Results: 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. Conclusions: Our findings revealed that FDG PET texture features are potential imaging biomarkers for predicting PD-L1 expression in patients newly diagnosed with NSCLC. [ABSTRACT FROM AUTHOR]

Published
2024
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47. Comparative evaluation of 11C-methionine and 18F-fluorodeoxyglucose positron emission tomography for distinguishing between primary central nervous system lymphoma and isocitrate dehydrogenase-wildtype glioblastoma.

Author

Norikane, Takashi, Mitamura, Katsuya, Yamamoto, Yuka, Manabe, Yuri, Murao, Mitsumasa, Arai-Okuda, Hanae, Hatakeyama, Tetsuhiro, Miyake, Keisuke, and Nishiyama, Yoshihiro

Abstract

Purpose: Distinguishing between primary central nervous system lymphoma (PCNSL) and isocitrate dehydrogenase (IDH)-wildtype glioblastoma is important for therapeutic decision-making. This study aimed to compare the performance of 11C-methionine (MET) and 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) for distinguishing between these two major malignant brain tumors. Methods: We retrospectively conducted qualitative and semiquantitative analyses of pre-treatment MET and FDG PET/computed tomography (CT) images of 22 patients with PCNSL and 64 patients with IDH-wildtype glioblastoma. For semiquantitative analysis, we calculated the tumor-to-normal tissue (T/N) ratio by dividing the maximum standardized uptake value (SUV) for the tumor (T) by the average SUV for the normal tissue (N). For performance evaluation, we employed receiver operating characteristic curve analysis and calculated the areas under the curve (AUC) values. Results: In the qualitative analysis, all PCNSLs and IDH-wildtype glioblastomas were MET-positive, while 95% and 84% of PCNSLs and IDH-wildtype glioblastomas, respectively, were FDG-positive. Eleven patients were excluded from the FDG PET/CT semiquantitative analysis because of hyperglycemia. There was no difference in MET T/N ratio between PCNSL and IDH-wildtype glioblastoma (p = 0.37). FDG T/N ratio was significantly higher in PCNSL than in IDH-wildtype glioblastoma (p < 0.001). The AUC value for distinguishing PCNSL from IDH-wildtype glioblastoma was significantly higher for the FDG T/N ratio (0.871) than for the MET T/N ratio (0.565) (p = 0.0027). Conclusion: MET PET could detect both PCNSL and IDH-wildtype glioblastoma, but unlike FDG PET, it could not distinguish between these two major malignant brain tumors. [ABSTRACT FROM AUTHOR]

Published
2024
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