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Development of lung cytodiagnosis support system using homology profile method

Research Project

Project/Area Number 21H03839
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Review Section Basic Section 90130:Medical systems-related
Research InstitutionOsaka University

Principal Investigator

Nakane Kazuaki  大阪大学, 大学院医学系研究科, 招へい教授 (10298804)

Co-Investigator(Kenkyū-buntansha) 山本 浩文  大阪大学, 大学院医学系研究科, 教授 (30322184)
横山 雄起  大阪大学, 大学院医学系研究科, 助教 (60615714)
橘 理恵  大島商船高等専門学校, 情報工学科, 准教授 (90435462)
Project Period (FY) 2021-04-01 – 2024-03-31
Project Status Completed (Fiscal Year 2023)
Budget Amount *help
¥17,420,000 (Direct Cost: ¥13,400,000、Indirect Cost: ¥4,020,000)
Fiscal Year 2023: ¥5,590,000 (Direct Cost: ¥4,300,000、Indirect Cost: ¥1,290,000)
Fiscal Year 2022: ¥5,590,000 (Direct Cost: ¥4,300,000、Indirect Cost: ¥1,290,000)
Fiscal Year 2021: ¥6,240,000 (Direct Cost: ¥4,800,000、Indirect Cost: ¥1,440,000)
Keywordsホモロジー / クロマチンパターン / 細胞診断 / 遠隔診断 / ホモロジー法 / クロマチン解析 / ビッグデータ / ホモロジープロファイル法 / データの構造化
Outline of Research at the Start

クロマチンパターンに代表されるように、医療現場に現れる画像のほとんどは構造化されていない。本研究ではホモロジープロファイル法を用いて画像データを構造化してAI等の最新技術で解析を進める。
ホモロジ量は数学的には二次元の特徴量であるため、現在AIで用いられている特徴量からは導出できない上に、「接触」という物理現象に結びついているため、医学理論・医師の感覚と一致したアルゴリズムの設計が可能であり、教師データによらないロバストなシステム構築が可能であると考えられる。本研究は実証的基盤を整備する。。

Outline of Final Research Achievements

Homology is a mathematical concept that quantifies the contact of shapes. Recently, it has been recognized as an effective approach for analyzing complex images, such as pathological images. In this study, we further developed this concept through a technique called the Homology Profile Method. Using this method, we quantified the chromatin patterns of lung cell nuclei and attempted to classify lung cancer tissue types based on these measurements. During this period, we were able to distinguish between different types of cancer--small cell carcinoma, adenocarcinoma, and squamous cell carcinoma-- with favorable results. This approach is expected to bring objectivity to the selection of therapeutic drugs and contribute significantly to the standardization of cancer treatment. Notably, it has been demonstrated that analysis is feasible even with 40x magnification images, thereby eliminating the need for oil immersion and enabling potential clinical applications.

Academic Significance and Societal Importance of the Research Achievements

肺癌の細胞診には、気管支鏡下の擦過・気管支肺胞洗浄・CTガイド下穿刺吸引・EBUS-TBNAならびに喀痰などの細胞採取法があるが、外科切除不能な進行期肺癌では、多くの場合細胞診が確定診断になることが多い。このため小細胞癌・非小細胞癌、腺癌・扁平上皮癌の細胞学的鑑別を精度良く行うことが重要である。
細胞診断の標準化についてはサンプルの多様性から、標準的クライテリアの設定は難しい。しかし、の核クロマチンパターンが診断において大きなウエイトを占めていることは間違いなく、もしこれを客観的な数理的指標を用いて表現できれば、自動診断支援技術開発の手がかりだけでなく、病理現象への理解が進むと考えられる。

Report

(4 results)
  • 2023 Annual Research Report   Final Research Report ( PDF )
  • 2022 Annual Research Report
  • 2021 Annual Research Report
  • Research Products

    (9 results)

All 2023 2022 2021

All Journal Article (1 results) (of which Peer Reviewed: 1 results,  Open Access: 1 results) Presentation (8 results) (of which Int'l Joint Research: 5 results,  Invited: 2 results)

  • [Journal Article] A quantitative evaluation method utilizing the homology concept to assess the state of chromatin within the nucleus of lung cancer2023

    • Author(s)
      Yokoyama Yuhki、Kanayama Kazuki、Iida Kento、Onishi Masako、Nagatomo Tadasuke、Ito Mayu、Nagumo Sachiko、Kawahara Kunimitsu、Morii Eiichi、Nakane Kazuaki、Yamamoto Hirofumi
    • Journal Title

      Scientific Reports

      Volume: 13 Issue: 1

    • DOI

      10.1038/s41598-023-46213-w

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Open Access
  • [Presentation] A novel pathological image evaluation method for prostatectomy speciments using the homology profile method2023

    • Author(s)
      Kazuaki Nakane
    • Organizer
      35th European Congress of Pathology (ECP)
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Respiratory cytology support system using homology profile for clinical application2023

    • Author(s)
      Kazuaki Nakane
    • Organizer
      19th European Congress on Digital Pathology (ECDP)
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 数理的手法を用いた組織画像解析技術2023

    • Author(s)
      中根 和昭
    • Organizer
      日本機械学会特別講演会
    • Related Report
      2022 Annual Research Report
    • Invited
  • [Presentation] Development of cytopathology support system using the homology concept2022

    • Author(s)
      Kazuaki Nakane
    • Organizer
      18th European Congress on Digital Pathology (ECDP)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Homology-based approach for pathological diagnosis of prostatic cancer2022

    • Author(s)
      Kazuaki Nakane
    • Organizer
      The European Society of Pathology (ESP)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] ホモロジー特徴量を用いた画像解析法について(仮)2022

    • Author(s)
      飯田 健斗
    • Organizer
      第63回日本臨床細胞学会総会(春期大会)
    • Related Report
      2021 Annual Research Report
    • Invited
  • [Presentation] Development of cytopathology support system using the homology concept2022

    • Author(s)
      Kazuaki Nakane
    • Organizer
      ECDP2022
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] ホモロジープロファイル法を用いた肺小細胞癌と肺非小細胞癌の鑑別2021

    • Author(s)
      飯田 健斗
    • Organizer
      第60回日本臨床細胞学会秋期大会
    • Related Report
      2021 Annual Research Report

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Published: 2021-04-28   Modified: 2025-01-30  

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