Koyasu Sho

Research field (2)： Radiology , Tumor biology

Research theme for competitive and other funds (9)：

2022 - 2025 網羅的遺伝子スクリーニング技術を用いた甲状腺癌内用療法に対する抵抗性因子の探索
2020 - 2023 Exploration of Companion Diagnosis and Personalized Medicine of Tumor Using Chemokine Receptor Imaging
2019 - 2022 Development of Nuclear Medicine Imaging Techniques for Personalized Medicine Focusing on Metabolic Changes in Glioblastoma
2018 - 2021 Mechanism of Action and Function of a novel HIF-1 activator in p53-deficient cancers
2017 - 2020 癌細胞の低酸素応答と放射線抵抗性を担う新規遺伝子の機能解析と治療・画像化への展開

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Papers (78)：

Sho Koyasu, Akihiko Sugimoto, Junichi Matsubara, Manabu Muto, Yuji Nakamoto. SMARCA4-Deficient Poorly Differentiated Adenocarcinoma of the Gallbladder. Clinical Nuclear Medicine. 2024
Toshiya Takamura, Sho Koyasu, Akihiko Sugimoto, Takayuki Yamamoto, Yuji Nakamoto. Hyalinizing Clear Cell Carcinoma in the Sphenoid Sinus. Clinical nuclear medicine. 2024. 49. 3. 287-288
Hiroki Tanaka, Sho Koyasu, Masahiro Kikuchi, Mami Iima, Koichi Omori, Yuji Nakamoto. Utility of Diffusion-weighted MR Imaging for Evaluating the Depth of Invasion in Oral Tongue Squamous Cell Carcinoma. Magnetic Resonance in Medical Sciences. 2024
Yukari SHIRAI, Tatsuya SUWA, Minoru KOBAYASHI, Sho KOYASU, Hiroshi HARADA. DDX5 enhances HIF-1 activity by promoting the interaction of HIF-1α with HIF-1β and recruiting the resulting heterodimer to its target gene loci. Biology of the Cell. 2023
Eitaro Kidera, Sho Koyasu, Kenji Hirata, Masatsugu Hamaji, Ryusuke Nakamoto, Yuji Nakamoto. Convolutional neural network-based program to predict lymph node metastasis of non-small cell lung cancer using 18F-FDG PET. Annals of nuclear medicine. 2023

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MISC (36)：

子安翔, 志水陽一, 中本裕士. ⁶⁸Ga-DOTATOC PET/CT for Diagnosing Neuroendocrine Tumors. 癌と化学療法. 2022. 49. 8
Sho Koyasu, Yoichi Shimizu, Mari Suzukida, Takero Shindo, Masahiro Ono, Yuji Nakamoto. Development of a novel radiotracer for imaging T cell lymphoma: In-111-DTPA-Mogamulizumab. JOURNAL OF NUCLEAR MEDICINE. 2021. 62
西尾瑞穂, 子安翔, 中本裕士. 肺癌予後予測のためのElastic Netを用いたFDG-PETのテクスチャー解析. 核医学(Web). 2020. 57. Supplement
北口耕輔, 中本裕士, 野橋智美, 子安翔, 三宅可奈江, 石守崇好, 佐賀恒夫. 粘膜悪性黒色腫におけるFDG PET/CTの検出能と予後予測能. 核医学(Web). 2020. 57. Supplement
西尾瑞穂, 野口峻二郎, 尾上宏治, 子安翔, 八上全弘, 村松千左子, 藤田広志, 富樫かおり. Generative adversarial networkを用いた肺結節の3次元CT画像の生成. 日本医用画像工学会大会予稿集. 2019. 38回. 418-421

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Awards (15)：

2024/01 - 北米放射線学会 Editor’s Recognition Award for Reviewing with Distinction
2021/11 - 日本核医学会症例検討会優秀賞
2021/11 - 第8回日本核医学会リターニー賞
2021/11 - 久田賞銀賞 Usefulness of gradient tree boosting for predicting histological subtype and EGFR mutation status of non-small cell lung cancer on 18F FDG-PET/CT.
2021/05 - 最優秀発表賞

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