Katayama Ikuo

カタヤマイクオ | Katayama Ikuo

Research keywords (5)：電離放射線 , 細胞死 , 細胞老化 , cPLA2 , FEN1

Research theme for competitive and other funds (23)：

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Papers (12)：

Sato Eida, Motoki Fukuda, Ikuo Katayama, Yukinori Takagi, Miho Sasaki, Hiroki Mori, Maki Kawakami, Tatsuyoshi Nishino, Yoshiko Ariji, Misa Sumi. Metastatic Lymph Node Detection on Ultrasound Images Using YOLOv7 in Patients with Head and Neck Squamous Cell Carcinoma. Cancers. 2024. 16. 2. 274-274
Yukinori Takagi, Ikuo Katayama, Sato Eida, Miho Sasaki, Toshimasa Shimizu, Shuntaro Sato, Kunio Hashimoto, Hiroki Mori, Mitsunobu Otsuru, Masahiro Umeda, et al. Three Signs to Help Detect Sjögren’s Syndrome: Incidental Findings on Magnetic Resonance Imaging and Computed Tomography. Journal of Clinical Medicine. 2023. 12. 20. 6487-6487
Yukinori Takagi, Kunio Hashimoto, Miho Sasaki, Sato Eida, Ikuo Katayama, Misa Sumi. Juvenile onset of primary Sjögren's syndrome: changes in imaging findings during a 7-year progression. Clinical and experimental rheumatology. 2022. 40. 12. 2466-2467
Yukinori Takagi, Miho Sasaki, Sato Eida, Ikuo Katayama, Kunio Hashimoto, Hideki Nakamura, Toshimasa Shimizu, Shimpei Morimoto, Atsushi Kawakami, Misa Sumi. Comparison of salivary gland MRI and ultrasonography findings among patients with Sjögren’s syndrome over a wide age range. Rheumatology. 2021. 61. 5. 1986-1996
Sato Eida, Yuka Hotokezaka, Miho Sasaki, Hitoshi Hotokezaka, Shuichi Fujita, Ikuo Katayama, Yukinori Takagi, Misa Sumi. A case of periosteal fasciitis located in the mandible in a child. Oral Radiology. 2021. 38. 1. 175-181

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MISC (3)：

藤原航平, 武田啓太, 高木幸則, 佐々木美穂, 榮田智, 片山郁夫, 角美佐, 酒井智弥. 耳下腺の超音波画像を用いたシェーグレン症候群の治療効果の予測. 電子情報通信学会技術研究報告(Web). 2021. 121. 230(MICT2021 27-43)
佐々木美穗, 佛坂由可, 片山郁夫, 榮田智, 高木幸則, 角美佐, 中村卓. 高磁場・超高b値拡散強調MRIを用いた細胞内拡散係数の推定. 歯科放射線. 2019. 59
KATAYAMA I, HOTOKEZAKA Y, NAKAMURA T. Molecular interaction between PPARγ and NF-κB provocated by ionizing radiation. 2001. 41. 94-94

Lectures and oral presentations (15)：

シェーグレン症候群の早期診断のためのMRI及びCTの新たな兆候
(日本歯科放射線学会第63回学術大会 2023)
Exploiting Perfusion MR Features for Salivary Gland Tumor Classification
(2022)
Machine learning-based prediction of treatment efficacy in patients with Sjögren’s syndrome using ultrasound images of salivary glands
(2022)
FDG-PETで全身に異常集積を認め悪性との鑑別が困難であった多発性外傷性化骨性筋炎の1例
(第24回日本歯科医学会学術大会併催第2回日本歯科放射線学会秋季学術大会 2021)
ガマ腫はシェーグレン症候群早期発見の手掛かりか?
(日本歯科放射線学会第1回秋季学術大会 2020)

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