The database of rare neurodegenerative diseases and algorithms to support diagnostic imaging

2023 Fiscal Year Final Research Report

• Project/Area Number: 21K15623
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 51030:Pathophysiologic neuroscience-related
• Research Institution: Kyoto University
• Principal Investigator: Hinoda Takuya 京都大学, 医学研究科, 客員研究員 (30885132)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Keywords: 神経変性疾患 / MRI

Outline of Final Research Achievements

In neurodegenerative diseases, the introduction of highly reproducible and universal diagnostic support tools is expected. In this study, a system using three-dimensional volumes of substantia nigra and striatum related to neurodegenerative diseases, quantitative values such as quantitative susceptibility mapping, evaluation of signal values and volume of neuromelanin images were used to generate patient-specific reports specific to these diseases. The differentiation with a high area under the curve of receiver operating characteristics was obtained for Parkinson's disease. In addition, an environment was established to enable cross-sectional viewing of medical record information, laboratory data, and image information for each disease.

Free Research Field

放射線医学

Academic Significance and Societal Importance of the Research Achievements

本研究では、神経変性疾患に関連した黒質や線条体の3次元的な容積、定量的磁化率マッピングなどの定量値、神経メラニン画像の信号値評価や容積評価、などを個別にレポート出力することにより定量値の一覧性を向上させ、診断アルゴリズム作成につなげることが可能となった。今後の展開としては、この個別レポート出力を多施設で利用可能な環境を整備することにより、診断アルゴリズムの精度向上、多疾患への適用につなげることが可能となる。