Development and validation of rapid intraoperative diagnosis system for malignant glioma
| Project/Area Number |
16K08964
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Laboratory medicine
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| Research Institution | University of Yamanashi |
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Principal Investigator |
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| Research Collaborator |
KAWATAKI Tomoyuki
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| Project Period (FY) |
2016-04-01 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2018: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2017: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2016: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | がん診断 / アンビエント質量分析 / 機械学習 / 質量分析 / アンビエント / リアルタイム / 迅速診断 / リアルタイム質量分析 / 大気圧イオン化法 / 統計数学 |
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| Outline of Final Research Achievements |
We constructed a mass spectral database of human non-tumor and cerebral tumor tissues with labels of tumor grades (grade I-IV) and patient information. To confirm the discrimination ability of learning machine (logistic regression)-based diagnostic algorithm, stored data were divided into the sub groups, and leave-one-out cross-validation was performed. As a result, the discrimination accuracy for non-tumor/tumor or tumor grade were over 80%. This result suggest that our system is useful for diagnosis of human cerebral tumor. In addition, we constructed the real-time and remote sampling probe. It enables us to perform intraoperative diagnosis without extirpation of tissues.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究で開発するシステムは悪性神経膠腫の存在診断および質的診断の術中支援を、これまでにない迅速性と判定精度で遂行可能とするものであり、手術時間の短縮や切除領域の正確な判断により患者の予後改善に寄与することができる。検証の結果、腫瘍の検出に加えてグレード判別も可能であることが確認でき、これによって例えば腫瘍のグレード4で保険が適用される脳内留置用徐放性製剤を用いるか否かの術中判断にも利用できる。また、ここで構築されたデータは膠芽腫の代謝マップそのものであるため、腫瘍特異的な代謝経路の阻害をターゲットにした、新規抗がん剤の開発に応用できることも意義の一つである。
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Report
(4 results)
Research Products
(24 results)
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[Journal Article] Desorption in Mass Spectrometry2017
Author(s)
Dilshadbek Tursunbayevich Usmanov、Satoshi Ninomiya、Lee Chuin Chen、Subhrakanti Saha、Mridul Kanti Mandal、Yuji Sakai、Rio Takaishi、Ahsan Habib、Kenzo Hiraoka、Kentaro Yoshimura、Sen Takeda、Hiroshi Wada、Hiroshi Nonami
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Journal Title
Mass Spectrometry
Volume: 6
Pages: 1-16
NAID
Related Report
Peer Reviewed / Open Access
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