Hirata Kenji 平田健司

… Alternative Names

平田健司ヒラタケンジ

HIRATA Kenji 平田健司

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Researcher Number	30431365
Other IDs
External Links
Affiliation (Current)	2022: 北海道大学, 医学研究院, 准教授
Affiliation (based on the past Project Information) *help	2019 – 2022: 北海道大学, 医学研究院, 准教授 2017: 北海道大学, 医学(系)研究科(研究院), 助教 2016 – 2017: 北海道大学, 医学研究科, 助教 2012: 北海道大学, 大学院・医学研究科, 助教 2008: 北海道大学, 大学病院, 医員 2006: 北海道大学, 病院・医員
Review Section/Research Field	Principal Investigator Tumor diagnosis / Radiation science / Basic Section 52040:Radiological sciences-related Except Principal Investigator Basic Section 52040:Radiological sciences-related / Basic Section 57060:Surgical dentistry-related / Radiation science / Basic Section 53020:Cardiology-related / Basic Section 90140:Medical technology assessment-related / Basic Section 53030:Respiratory medicine-related / Basic Section 56010:Neurosurgery-related / Medium-sized Section 57:Oral science and related fields / Basic Section 90130:Medical systems-related
Keywords	Principal Investigator 核医学 / 腫瘍 / 脳腫瘍 / 低酸素 / ポジトロン断層撮影法 / FMISO / 頭頚部癌 / 化学療法 / IIMU / 甲状腺癌 … More / metabolic tumor volume / texture analysis / thymidine phosphorylase / FDG / 頭頸部癌 / イメージング / FDG-PET/CT / 糖代謝 / 血流 / deep learning / deep neural network / ポジトロン断層法 / 定量 / O-15水 … More Except Principal Investigator PET / 分子イメージング / テクスチャ解析 / MRI / 遺伝子応答 / MRONJ / 画像診断学(含放射線診断学、核医学) / レポーター遺伝子 / 再生医療 / 遺伝子治療 / 循環器 / 虚血性心疾患 / トランスレーショナルリサーチ / 核医学(PET,SPECT) / 遺伝子発現 / 血管新生 / 心臓(虚血性心疾患) / 小動物(ラット) / 核医学(PET, SPECT) / 遺伝子発現イメージング / 血管再生 / 心臓(心筋) / 心臓サルコイドーシス / 心臓MRI / 心サルコイドーシス / 炎症性プラーク / 冠動脈疾患 / 冠動脈プラーク / 頚動脈プラーク / 高分解能PET / 高分解能FDG PET / 頸動脈プラーク / 個別化医療 / 収縮能が保持された心不全 / ディープフェノタイピング / バイオマーカー / オミックス / 人工知能 / 医用画像診断支援システム / 倫理リスク / 放射線 / 核医学診断 / フェロトーシス / がん治療 / がん免疫 / 乳酸 / 低酸素 / 口腔がん / FMISO-PET / 肺動脈性肺高血圧症 / 膠芽腫 / SPECT / ハーモナイゼーション / 顎骨 / 低酸素領域 / 顎骨壊死 / 乳癌 / FDG-PET / 光免疫療法 / ナビゲーションシステム / ナビゲーション / フュージョン / デジタルファントム / 非剛体画像レジストレーション / 半導体 / 心臓 / ファントム / ポジトロン断層撮影 / 心臓動態ファントム / デジタル半導体PET Less

エネルギー代謝に着目した核医学イメージングによるがん微小環境評価
- Principal Investigator
  
  小川美香子
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Hokkaido University
Novel strategies for the treatment of pral cancerbased on hypoxia assessment
- Principal Investigator
  
  北川善政
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 57060:Surgical dentistry-related
- Research Institution
  Hokkaido University
Elucidating the pathogenesis of childhood-onset pulmonary hypertension through multifaceted pathological investigation based on deep learning
- Principal Investigator
  
  永井礼子
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 53030:Respiratory medicine-related
- Research Institution
  Hokkaido University
膠芽腫における低酸素内糖代謝亢進メカニズムの検証
- Principal Investigator
  
  山口秀
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 56010:Neurosurgery-related
- Research Institution
  Hokkaido University
Aiming for inter-facility standardization for quantitative SPECT of the jaw
- Principal Investigator
  
  秦浩信
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 57060:Surgical dentistry-related
- Research Institution
  Hokkaido Cancer Center(Department of Clinical Research)
Novel diagnostic strategy for refractory osteomyelitis of the jaw by hypoxia molecular imaging
- Principal Investigator
  
  北川善政
- Project Period (FY)
  2022 – 2023
- Research Category
  
  Grant-in-Aid for Challenging Research (Exploratory)
- Review Section
  
  Medium-sized Section 57:Oral science and related fields
- Research Institution
  Hokkaido University
PET imaging for cancer treatment inducing ferrotosis
- Principal Investigator
  
  久下裕司
- Project Period (FY)
  2021 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Hokkaido University
乳癌の再発転移予測に向けたMRIと半導体PETのバイオマーカーによる微小環境評価
- Principal Investigator
  
  加藤扶美
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Hokkaido University
Development of navigation system for near-infrared photoimmunotherapy
- Principal Investigator
  
  曽山武士
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Hokkaido University
最新のデジタル半導体PET装置に対応した心臓動態ファントムの開発と撮像技術の確立
- Principal Investigator
  
  孫田惠一
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 90130:Medical systems-related
- Research Institution
  Hokkaido University
Use of digital PET and deep learning for simultaneous quantification of tumor blood flow and metabolism from FDG PETPrincipal Investigator
- Principal Investigator
  
  平田健司
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Hokkaido University
Texture analysis of MRI and PET imaging for cardiac sarcoidosis
- Principal Investigator
  
  真鍋徳子
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Jichi Medical University
Interdisciplinary fusion research for precision medicine in heart failure patients with preserved ejection fraction
- Principal Investigator
  
  安斉俊久
- Project Period (FY)
  2020 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 53020:Cardiology-related
- Research Institution
  Hokkaido University
人工知能技術を利用した医用画像診断支援システムの倫理リスクマネジメント手法の研究
- Principal Investigator
  
  平田雄一
- Project Period (FY)
  2020
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 90140:Medical technology assessment-related
- Research Institution
  Hokkaido University
Visualization of inflammation in coronary artery plaque and elucidation of the mechanism of myocardial infarction development by using high resolution PET scan
- Principal Investigator
  
  Naya Masanao
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Hokkaido University
Prediction of treatment response for head-and-neck cancer using IIMUPrincipal Investigator
- Principal Investigator
  
  Hirata Kenji
- Project Period (FY)
  2016 – 2017
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Radiation science
- Research Institution
  Hokkaido University
低酸素イメージングを中心とした複合的な脳腫瘍診断法・治療法の確立Principal Investigator
- Principal Investigator
  
  平田健司
- Project Period (FY)
  2012
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Tumor diagnosis
- Research Institution
  Hokkaido University
Radionuclide reporter gene imaging for cardiac gene therapy
- Principal Investigator
  
  INUBUSHI Masayuki
- Project Period (FY)
  2006 – 2008
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Radiation science
- Research Institution
  National Institute of Radiological Sciences
  Hokkaido University

All 2022 2021 2020 2018 2017 2012

All Journal Article Presentation Book

[Book] 循環器内科2020
- Author(s)
  平田健司、真鍋治、真鍋徳子
- Publisher
  画像診断におけるAI：texture解析とdeep learningを中心に
- Data Source
  KAKENHI-PROJECT-20K08042
[Book] 臨床放射線臨時増刊号2020
- Author(s)
  真鍋治、小梁川和宏、納谷昌直、相川忠夫、平田健司、小林健太郎、古家翔、真鍋徳子、立石宇貴秀
- Publisher
  金原出版
- Data Source
  KAKENHI-PROJECT-20K08042
[Journal Article] Artificial intelligence for nuclear medicine in oncology2022
- Author(s)
  Hirata Kenji、Sugimori Hiroyuki、Fujima Noriyuki、Toyonaga Takuya、Kudo Kohsuke
- Journal Title
  
  Annals of Nuclear Medicine
  
  Volume: 36 Pages: 123-132
- DOI
  10.1007/s12149-021-01693-6
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K08015
[Journal Article] Preliminary study of AI-assisted diagnosis using FDG-PET/CT for axillary lymph node metastasis in patients with breast cancer2021
- Author(s)
  Li Zongyao、Kitajima Kazuhiro、Hirata Kenji、Togo Ren、Takenaka Junki、Miyoshi Yasuo、Kudo Kohsuke、Ogawa Takahiro、Haseyama Miki
- Journal Title
  
  EJNMMI Research
  
  Volume: 11 Pages: 10-10
- DOI
  10.1186/s13550-021-00751-4
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K08015, KAKENHI-PROJECT-17H04254
[Journal Article] Development and validation of a prediction model based on the organ-based metabolic tumor volume on FDG-PET in patients with differentiated thyroid carcinoma2021
- Author(s)
  Uchiyama Yuko、Hirata Kenji、Watanabe Shiro、Okamoto Shozo、Shiga Tohru、Okada Kazufumi、Ito Yoichi M.、Kudo Kohsuke
- Journal Title
  
  Annals of Nuclear Medicine
  
  Volume: 35 Pages: 1223-1231
- DOI
  10.1007/s12149-021-01664-x
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21H02857, KAKENHI-PROJECT-20K08015
[Journal Article] Texture analysis of delayed contrast-enhanced computed tomography to diagnose cardiac sarcoidosis2021
- Author(s)
  Tsuneta Satonori、Oyama-Manabe Noriko、Hirata Kenji、Harada Taisuke、Aikawa Tadao、Manabe Osamu、Ohira Hiroshi、Koyanagawa Kazuhiro、Naya Masanao、Kudo Kohsuke
- Journal Title
  
  Jpn J Radiol
  
  Volume: 39 Issue: 5 Pages: 442-450
- DOI
  10.1007/s11604-020-01086-1
- NAID
  210000186857
- ISSN
  1867-1071, 1867-108X
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K08042
[Journal Article] Association of high serum soluble interleukin 2 receptor levels with risk of adverse events in cardiac sarcoidosis2021
- Author(s)
  Kobayashi Yuta、Sato Takuma、Nagai Toshiyuki、Hirata Kenji、Tsuneta Satonori、Kato Yoshiya、Komoriyama Hirokazu、Kamiya Kiwamu、Konishi Takao、Omote Kazunori、Ohira Hiroshi、Kudo Kohsuke、Konno Satoshi、Anzai Toshihisa
- Journal Title
  
  ESC Heart Failure
  
  Volume: 8 Pages: 5282-5292
- DOI
  10.1002/ehf2.13614
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20H03670, KAKENHI-PROJECT-21H02857
[Journal Article] A Preliminary Study to Use SUVmax of FDG PET-CT as an Identifier of Lesion for Artificial Intelligence2021
- Author(s)
  Kenji Hirata, Osamu Manabe, Keiichi Magota, Sho Furuya, Tohru Shiga, Kohsuke Kudo
- Journal Title
  
  Frontiers in Medicine
  
  Volume: in press
- DOI
  10.3389/fmed.2021.647562
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K08015, KAKENHI-PROJECT-21H02857
[Journal Article] Prognostic Value of 18F-FDG PET Using Texture Analysis in Cardiac Sarcoidosis2020
- Author(s)
  2)Manabe O, Koyanagawa K, Hirata K, Oyama-Manabe N, Ohira H, Aikawa T, Furuya S, Naya M, Tsujino I, Tomiyama Y, Otaki Y, Anzai T, Tamaki N
- Journal Title
  
  JACC Cardiovasc Imaging
  
  Volume: 13 Pages: 1096-1097
- DOI
  10.1016/j.jcmg.2019.11.021
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K08042
[Journal Article] 11C-Methionine positron emission tomography may monitor the activity of encephalitis.2012
- Author(s)
  Hirata K
- Journal Title
  
  Acta Radiologica
  
  Volume: 53(10) Pages: 1155-1157
- DOI
  10.1258/ar.2012.120382
- NAID
  120005228213
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23591744, KAKENHI-PROJECT-24700999
[Presentation] Combination of image and its report of FDG-PET/CT to generate probability map of anatomical terms using SUVmax as a bridge between text and image2022
- Author(s)
  Kenji Hirata, Shiro Watanabe, Junki Takenaka, Rina Kimura, Yuko Uchiyama, Keiichi Magota, Kohsuke Kudo
- Organizer
  Society of Nuclear Medicine and Molecular Imaging
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K08015
[Presentation] FDG-PET/CTのレポート上のSUVmaxを利用して解剖学用語を機械学習させる検討2021
- Author(s)
  平田健司、渡邊史郎、内山裕子、竹中淳規、木村理奈、眞島隆成、孫田恵一、工藤與亮
- Organizer
  第61回日本核医学会学術総会
- Data Source
  KAKENHI-PROJECT-20K08015
[Presentation] SUVmax described in FDG PET-CT reports can provide information of tumor location: an investigation of real-world data2021
- Author(s)
  Kenji Hirata, Yuko Uchiyama, Shiro Watanabe, Sho Furuya, Kohsuke Kudo
- Organizer
  Society of Nuclear Medicine and Molecular Imaging
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K08015
[Presentation] A study of new ethical risk management method of medical Artificial Intelligence for radiotherapy2020
- Author(s)
  平田雄一, 平田健司, 南須原康行, 白土博樹
- Organizer
  日本放射線腫瘍学会第33回学術大会
- Data Source
  KAKENHI-PROJECT-20K12708
[Presentation] A new role of SUVmax on FDG PET-CT as an identifier of the tumor in the era of AI2020
- Author(s)
  Kenji Hirata, Osamu Manabe, Keiichi Magota, Sho Furuya, Tohru Shiga, Kohsuke Kudo
- Organizer
  Society of Nuclear Medicine and Molecular Imaging
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K08015
[Presentation] 核医学画像のRadiomics2018
- Author(s)
  平田健司
- Organizer
  第74会日本放射線技術学会総会学術大会
- Invited
- Data Source
  KAKENHI-PROJECT-16K19798
[Presentation] Radiomics approach with texture analysis to overcome inter-scanner image variability - a simulation study targeting multicenter clinical trials2018
- Author(s)
  Kenji Hirata, Osamu Manabe, Kentaro Kobayashi, Shiro Watanabe, Takuya Toyonaga, Sho Furuya, Keiichi Magota, Nagara Tamaki, Tohru Shiga
- Organizer
  Society of Nuclear Medicine and Molecular Imaging 2018 Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K19798
[Presentation] 核医学における最近のコンピューター支援診断～ Texture 解析と Deep learning を中心に2018
- Author(s)
  平田健司
- Organizer
  第 88 回日本核医学会関東甲信越地方会
- Invited
- Data Source
  KAKENHI-PROJECT-16K19798
[Presentation] オープンソースソフトウェアMetavolによる全身FDG PET-CTのテクスチャー解析と甲状腺癌への応用2017
- Author(s)
  平田健司、真鍋治、内山裕子、小林健太郎、渡邊史郎、豊永拓哉、志賀哲
- Organizer
  第57回日本核医学会学術総会
- Data Source
  KAKENHI-PROJECT-16K19798
[Presentation] Deep learningによる核医学画像診断、病変輪郭抽出の試み2017
- Author(s)
  平田健司
- Organizer
  第７回核医学画像解析研究会
- Data Source
  KAKENHI-PROJECT-16K19798
[Presentation] Site-based Metabolic Tumor Volume may be a Prognostic Factor in Patients with Differentiated Thyroid Carcinoma2017
- Author(s)
  Kenji Hirata, Yuko Uchiyama, Shiro Watanabe, Takuya Toyonaga, Osamu Manabe, Kentaro Kobayashi, Hisaya Kikuchi, Tohru Shiga, Eriko Suzuki, Keiichi Magota, Satoshi Takeuchi, Nagara Tamaki
- Organizer
  第76回日本医学放射線学会
- Data Source
  KAKENHI-PROJECT-16K19798
[Presentation] Semi-automated whole-body texture analysis may improve predictive performance of FDG PET-CT for patients with differentiated thyroid carcinoma2017
- Author(s)
  Kenji Hirata, Tohru Shiga, Yuko Uchiyama, Shiro Watanabe, Takuya Toyonaga, Osamu Manabe, Kentaro Kobayashi, Hisaya Kikuchi, Keiichi Magota, Nagara Tamaki
- Organizer
  Society of Nuclear Medicine and Molecular Imaging 2017 Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K19798
[Presentation] Risk of FDG as marker of intratumoral hypoxia of gliobastoma multiforme - Comparison with FMISO using semiconductor PET system.2012
- Author(s)
  Hirata K, Hattori N, Takauchi W, Manabe O, Kanno H, Shiga T, Terasaka S, Kobayashi H, Kuge Y, Tamaki N
- Organizer
  The 59th Annual Meeting of the Society of Nuclear Medicine
- Place of Presentation
  米国マイアミビーチ市
- Year and Date
  2012-06-11
- Data Source
  KAKENHI-PROJECT-24700999
[Presentation] FMISO PETを用いた神経膠芽腫とGrade III以下の神経膠腫の鑑別診断2012
- Author(s)
  平田健司、服部直也、志賀哲、孫田恵一、真鍋治、寺坂俊介、田中伸哉、久下裕司、玉木長良
- Organizer
  日本医学放射線学会
- Place of Presentation
  横浜市
- Year and Date
  2012-04-14
- Data Source
  KAKENHI-PROJECT-24700999

1. INUBUSHI Masayuki (70399830)

# of Collaborated Projects: 3 results

# of Collaborated Products: 0 results
2. 真鍋治 (40443957)

# of Collaborated Projects: 3 results

# of Collaborated Products: 6 results
3. 久下裕司 (70321958)

# of Collaborated Projects: 3 results

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4. 北川善政 (00224957)

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5. 佐藤淳 (60319069)

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6. SHIGA Tohru (80374495)

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7. Naya Masanao (20455637)

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8. 真鍋徳子 (70463742)

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9. 孫田惠一 (20636419)

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10. 小川美香子 (20344351)

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11. 竹内康人 (10735187)

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12. 渡邊史郎 (10802415)

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13. 浅香卓哉 (80637265)

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14. TAMAKI Nagara (30171888)

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15. MORITA Koichi (20210172)

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16. KANEGAE Kakuko (30326855)

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17. INOUE Tetsuya (10431363)

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18. OKAMOTO Shouzo (20431364)

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19. YOSHINAGA Keiichiro (30435961)

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20. HATAKEYAMA Masanori (40189551)

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24. 長内俊也 (90622788)

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31. 櫻井美佳 (80508359)

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32. 平田雄一 (00821985)

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58. OYAMA Noriko

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Hirata Kenji 平田 健司

平田 健司 ヒラタ ケンジ

HIRATA Kenji 平田 健司

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Use of digital PET and deep learning for simultaneous quantification of tumor blood flow and metabolism from FDG PETPrincipal Investigator

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Hirata Kenji 平田健司

平田健司ヒラタケンジ

HIRATA Kenji 平田健司