Research field (1):
Tumor diagnostics and therapeutics
Research theme for competitive and other funds (2):
2020 - 2023 Use of digital PET and deep learning for simultaneous quantification of tumor blood flow and metabolism from FDG PET
2018 - 2021 Development of new therapeutic strategies for hypoxic tumors
Papers (40):
Satoshi Takeuchi, Kenji Hirata, Keiichi Magota, Shiro Watanabe, Rika Moku, Akihiko Shiiya, Jun Taguchi, Shin Ariga, Tomohiro Goda, Yoshihito Ohhara, et al. Early prediction of treatment outcome for lenvatinib using 18F-FDG PET/CT in patients with unresectable or advanced thyroid carcinoma refractory to radioiodine treatment: a prospective, multicentre, non-randomised study. EJNMMI research. 2023. 13. 1. 69-69