研究者
J-GLOBAL ID：201801003289492922   更新日: 2024年05月25日

福田 俊一

フクダ シュンイチ | Fukuda Shunichi
研究分野 (1件)： 脳神経外科学
競争的資金等の研究課題 (5件)：
  • 2023 - 2026 脳動脈瘤コイル塞栓術後再発予防薬の開発とその機序の解明研究
  • 2022 - 2025 血管内皮細胞血流感知システム阻害による頸動脈狭窄症の治療薬の開発研究
  • 2019 - 2024 水分摂取習慣が脳梗塞再発及び認知機能低下に与える影響:画像評価を含めた観察研究
  • 2020 - 2023 血行力学的観点に基づいた未破裂脳動脈瘤の増大抑制に関する研究
  • 2015 - 2019 脳動脈瘤発生における血行力学的因子の役割検討および瘤形成抑制への試みに関する研究
論文 (49件)：
  • Shunichi Fukuda, Yuji Shimogonya. A prospective observational study on hemodynamic risk in cerebral aneurysm growth. Physiology. 2024. 39. S1
  • Shunichi Fukuda, Yuji Shimogonya. Hemodynamic predictors for the onset of ischemic stroke due to carotid artery stenosis using a computational fluid dynamics analysis. Physiology. 2023. 38. S1
  • Yasuhiro Hamatani, Hidehisa Nishi, Moritake Iguchi, Masahiro Esato, Hikari Tsuji, Hiromichi Wada, Koji Hasegawa, Hisashi Ogawa, Mitsuru Abe, Shunichi Fukuda, et al. Machine Learning Risk Prediction for Incident Heart Failure in Patients With Atrial Fibrillation. JACC. Asia. 2022. 2. 6. 706-716
  • Hidehisa Nishi, Naoya Oishi, Hisashi Ogawa, Kishida Natsue, Kento Doi, Osamu Kawakami, Tomokazu Aoki, Shunichi Fukuda, Masaharu Akao, Tetsuya Tsukahara. Predicting cerebral infarction in patients with atrial fibrillation using machine learning: The Fushimi AF registry. Journal of Cerebral Blood Flow & Metabolism. 2022. 42. 5. 746-756
  • Shunichi Fukuda, Yuji Shimogonya, Naohiro Yonemoto, Miyuki Fukuda, Aoi Watanabe, Kazuha Fujiwara, Riku Enomoto, Koji Hasegawa, Akihiro Yasoda, Tetsuya Tsukahara. Hemodynamic Risk Factors for the Development of Carotid Stenosis in Patients with Unilateral Carotid Stenosis. World neurosurgery. 2022. 160. e353-e371
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MISC (19件)：
  • Shunichi Fukuda, Yuji Shimogonya. A role of hemodynamic stress in carotid stenosis; a study using computational fluid dynamic analyses. FASEB JOURNAL. 2016. 30
  • Shunichi Fukuda, Yuji Shimogonya. A role of hemodynamic stress in carotid stenosis; a study using computational fluid dynamic analyses. FASEB JOURNAL. 2016. 30
  • Shunichi Fukuda, Yuji Shimogonya, Miyuki Fukuda, Tetsuya Tsuskahara. Hemodynamic Localizations in Anterior Communicating Artery Aneurysms in Comparison With Middle Cerebral Artery Aneurysms With Computational Fluid Dynamics Analysis. STROKE. 2016. 47
  • Shunichi Fukuda, Yuji Shimogonya, Miyuki Fukuda, Koji Hasegawa. Investigations Using a Combination of Computational Fluid Dynamics Technique and an Animal Model of Experimentally Induced Cerebral Aneurysms Suggest Important Roles of Wall Shear Stress on the Cerebral Aneurysm Development. STROKE. 2015. 46
  • 安田謙, 中村道三, 齊ノ内信, 後藤昌広, 河原崎知, 川端康弘, 村瀬永子, 大谷良, 青木友和, 福田俊一, et al. 伏見AFレジストリにおける脳卒中イベントの解析(1年データ). 日本神経学会学術大会プログラム・抄録集. 2015. 56th
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書籍 (2件)：
  • The fluid shear response in leukocytes.
    Springer Verlag 2003
  • The role of biomechanics in analysis of cardiovascular diseases: Regulation of the fluid shear response by inflammatory mediators.
    Springer Verlag 2000
講演・口頭発表等 (25件)：
  • Excessive shear stress sensing on the arterial endothelium initiates cerebral aneurysm formation.
    (Experimental Biology 2018 2018)
  • Significant Correlations between risk factors for rupture of cerebral aneurysms and hemodynamic factors by using computational flow dynamic (CFD) analysis and multivariate analysis.
    (International Stroke Conference 2018 2018)
  • Shear Stress Sensing on the Endothelium Initiates Chronis Inflammation of the Arterial Wall During Cerebral Aneurysm Formation: Potential Novel Therapy for Cerebral Aneurysms With Paroxetine.
    (International Stroke Conference 2018 2018)
  • Enhancement of Disturbed Flow is Involved in Recanalization After Complete Endovascular Coil Embolization of Internal Carotid Artery-Posterior Communicating Artery Aneurysms.
    (International Stroke Conference 2018 2018)
  • Surface area may be a more useful risk factor for cerebral aneurysm rupture than maximum diameter
    (Experimental Biology 2017 2017)
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