深層学習、光干渉断層計測定結果を用いた変分近似ベイズ視野進行予測モデルの拡張

• Project/Area Number: 18KK0253
• Research Category: Fund for the Promotion of Joint International Research (Fostering Joint International Research (B))
• Allocation Type: Multi-year Fund
• Review Section: Medium-sized Section 56:Surgery related to the biological and sensory functions and related fields
• Research Institution: Seirei Christopher University (2020-2023); The University of Tokyo (2018-2019)
• Principal Investigator: 朝岡 亮 聖隷クリストファー大学, 看護学研究科, 臨床教授 (00362202)
• Co-Investigator(Kenkyū-buntansha): 結城 賢弥 慶應義塾大学, 医学部(信濃町), その他 (00365347) ; 松浦 将人 東京大学, 医学部附属病院, 特任研究員 (00768351) ; 藤野 友里 島根大学, 医学部, 客員研究員 (20768254) ; 村田 博史 国立研究開発法人国立国際医療研究センター, センター病院, 眼科 医師 (80635748) ; 谷戸 正樹 島根大学, 学術研究院医学・看護学系, 教授 (30284037) ; 平澤 一法 北里大学, 医学部, 講師 (80724343)
• Project Period (FY): 2018-10-09 – 2025-03-31
• Project Status: Granted (Fiscal Year 2023)
• Budget Amount: ¥17,940,000 (Direct Cost: ¥13,800,000、Indirect Cost: ¥4,140,000); Fiscal Year 2023: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000); Fiscal Year 2022: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000); Fiscal Year 2021: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000); Fiscal Year 2020: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000); Fiscal Year 2019: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000); Fiscal Year 2018: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
• Keywords: 緑内障 / 視野 / 光干渉断層計 / 深層正則化潜在線形回帰法 / 視野、光干渉断層計データの収集 / 深層学習

Outline of Annual Research Achievements

2616眼の緑内障眼の視野を用いて、光干渉断層計の計測結果から視野感度を推測するタスクと、時系列視野進行を推測するタスクをジョイントさせたマルチテスク学習モデルを構築した。このモデルでは早期と進行期での推測を別個に行う改善が図られている。この結果予測精度は既存のモデルに比べて有意に改善していた。この結果については論文投稿中である（Under Review）。
また、研究分担者の平澤一法が英国Moorfields Eye Hospitalに滞在し、United Kingdom Glaucoma Treatmaent Studyのデータを取得し、解析を行っている。

Current Status of Research Progress

2: Research has progressed on the whole more than it was originally planned.

Reason

United Kingdom Glaucoma Treatmaent Studyのデータを利用し、解析を行っているが、コロナ禍の影響でこちらはやや進行が当初計画より遅れているが、その後順調に進行している。

Strategy for Future Research Activity

United Kingdom Glaucoma Treatmaent Studyのデータを取得し、解析を行っった結果から、視野進行を予測する際に光干渉断層計の結果も組み込むことが有用であることが分かった。
更に本研究のこれまでの成果から視野予測を行う際に視野結果や光干渉断層計の結果だけでなく、眼球の生体物理学的特性や眼血流や酸素飽和度なども計測することが有用であることが分かり論文報告を行った。このため、家兎などを用いて非観血的に網膜の血流を測定する方法についても計測、解析を行っている。

Research Products

• [Int'l Joint Research] Moorfields Eye Hospital(英国)
• [Int'l Joint Research] Moorfields Eye Hospital(英国)
• [Int'l Joint Research] Moorfields Eye Hospital(英国)
• [Int'l Joint Research] University of California, San Diego(米国)
• [Journal Article] Prediction of visual field progression in glaucoma: existing methods and artificial intelligence (2023)
  • Author(s): Asaoka R, Murata H
  • Journal Title: Jpn J Ophthalmol Volume: 67(5) Issue: 5 Pages: 546-559
  • DOI: 10.1007/s10384-023-01009-3
  • Peer Reviewed
• [Journal Article] Comparing the structure-function relationship between the visual fields measured with variational Bayes linear regression and SITA standard (2023)
  • Author(s): Asaoka R, Murata H, Fujino Y, Aoki S, Hirasawa K, Shoji N.
  • Journal Title: PlosOne Volume: 18(3) Issue: 3 Pages: 0282638-0282638
  • DOI: 10.1371/journal.pone.0282638
  • Peer Reviewed / Open Access / Int'l Joint Research
• [Journal Article] Investigating the clinical usefulness of definitions of progression with 10-2 visual field (2021)
  • Author(s): Asano Shotaro、Murata Hiroshi、Fujino Yuri、Yamashita Takehiro、Miki Atsuya、Ikeda Yoko、Mori Kazuhiko、Tanito Masaki、Asaoka Ryo
  • Journal Title: British Journal of Ophthalmology Volume: - Pages: 497-451
  • DOI: 10.1136/bjophthalmol-2020-318188
  • Peer Reviewed
• [Journal Article] A Joint Multitask Learning Model for Cross-sectional and Longitudinal Predictions of Visual Field Using OCT (2021)
  • Author(s): Asaoka R, Xu L, Murata H, Kiwaki T, Matsuura M, Fujino Y, Tanito M, Mori K, Ikeda Y, Kanamoto T, Inoue K, Yamagami J, Yamanishi K
  • Journal Title: Ophthalmology Science Volume: 1 Pages: 100055-100055
  • Peer Reviewed / Open Access / Int'l Joint Research
• [Journal Article] A Computational Module for Joint Estimation and Progression Prediction of Glaucoma (2021)
  • Author(s): Xu L, Asaoka R, Kiwaki T, Murata H, Fujino Y, Yamanishi K
  • Journal Title: Proceedings of ACM International Conference on Knowledge Discovery and Data Mining Volume: 1 Pages: 3826-3834
  • Peer Reviewed / Open Access / Int'l Joint Research
• [Journal Article] Deep learning-assisted (automatic) diagnosis of glaucoma using a smartphone (2021)
  • Author(s): Nakahara Kenichi、Asaoka Ryo、Tanito Masaki、Shibata Naoto、Mitsuhashi Keita、Fujino Yuri、Matsuura Masato、Inoue Tatsuya、Azuma Keiko、Obata Ryo、Murata Hiroshi
  • Journal Title: British Journal of Ophthalmology Volume: 106 Issue: 4 Pages: 587-592
  • DOI: 10.1136/bjophthalmol-2020-318107
  • Peer Reviewed / Int'l Joint Research
• [Journal Article] Improving Visual Field Trend Analysis with OCT and Deeply Regularized Latent-Space Linear Regression (2021)
  • Author(s): Xu Linchuan、Asaoka Ryo、Murata Hiroshi、Kiwaki Taichi、Zheng Yuhui、Matsuura Masato、Fujino Yuri、Tanito Masaki、Mori Kazuhiko、Ikeda Yoko、Kanamoto Takashi、Yamanishi Kenji
  • Journal Title: Ophthalmology Glaucoma Volume: 4 Issue: 1 Pages: 78-88
  • DOI: 10.1016/j.ogla.2020.08.002
  • Peer Reviewed / Int'l Joint Research
• [Journal Article] Predicting the Glaucomatous Central 10-Degree Visual Field From Optical Coherence Tomography Using Deep Learning and Tensor Regression (2020)
  • Author(s): Xu Linchuan、Asaoka Ryo、Kiwaki Taichi、Murata Hiroshi、Fujino Yuri、Matsuura Masato、Hashimoto Yohei、Asano Shotaro、Miki Atsuya、Mori Kazuhiko、Ikeda Yoko、Kanamoto Takashi、Yamagami Junkichi、Inoue Kenji、Tanito Masaki、Yamanishi Kenji
  • Journal Title: American Journal of Ophthalmology Volume: 218 Pages: 304-313
  • DOI: 10.1016/j.ajo.2020.04.037
  • Peer Reviewed / Open Access / Int'l Joint Research
• [Journal Article] Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression (2019)
  • Author(s): Zheng Y, Xu L, Kiwaki T, Wang J, Murata H, Asaoka R, Yamanishi K
  • Journal Title: Proceedings of ACM International Conference on Knowledge Discovery and Data Mining Volume: 1 Pages: 2278-2286
  • Peer Reviewed / Open Access / Int'l Joint Research
• [Presentation] Application of AI in VF Progression in Glaucoma (2024)
  • Author(s): 朝岡亮
  • Organizer: 第39回Asia Pacific Academy of Ophthalmology
  • Int'l Joint Research / Invited
• [Presentation] How to Improve the Structure-Function Relationship in Glaucoma? (2024)
  • Author(s): 朝岡亮
  • Organizer: 第39回Asia Pacific Academy of Ophthalmology
  • Int'l Joint Research / Invited
• [Presentation] OCT imaging artifacts and abnormalities due to non-glaucomatous diseases, Imaging in Glaucoma: from Basics to Advanced (2023)
  • Author(s): 朝岡亮
  • Organizer: World Glaucoma Congress
  • Int'l Joint Research / Invited
• [Presentation] シンポジウム 緑内障視野－検査と評価の最新アップデート－ (2022)
  • Author(s): 朝岡亮
  • Organizer: 第33回日本緑内障学会
  • Invited
• [Presentation] シンポジウム 緑内障とAI (2021)
  • Author(s): 朝岡亮
  • Organizer: 第75回日本臨床眼科学会
  • Invited
• [Presentation] 視野とAI技術 (2020)
  • Author(s): 朝岡亮
  • Organizer: 日本視野画像学会
  • Invited
• [Presentation] Corneal biomechanicsと緑内障 (2020)
  • Author(s): 朝岡亮
  • Organizer: 日本眼科手術学会
  • Invited
• [Presentation] Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression (2019)
  • Author(s): Zheng Y, Xu L, Kiwaki T, Wang J, Murata H, Asaoka R, Yamanishi K
  • Organizer: ACM International Conference on Knowledge Discovery and Data Mining
  • Int'l Joint Research
• [Presentation] AI and Latest Developments in Ocular Imaging. AI in OCT: Detection of Early Glaucoma (2019)
  • Author(s): Ryo Asaoka
  • Organizer: 33rd Asia-Pacific Academy of Ophthalmology
  • Int'l Joint Research / Invited
• [Presentation] Symposium: Surviving as a clinician scientist, from Japan (2019)
  • Author(s): Ryo Asaoka
  • Organizer: 8th World Glaucoma Conference
  • Int'l Joint Research / Invited
• [Presentation] Bayes linear regression with variational autoenocder (2019)
  • Author(s): Hiroshi Murata, Ryo Asaoka
  • Organizer: 8th World Glaucoma Conference
  • Int'l Joint Research