Development of Radiomics for molecular diagnosis of gliomas
Project/Area Number |
16K10778
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Neurosurgery
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Research Institution | Osaka University (2018-2019) Osaka International Cancer Institute (2016-2017) |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
吉岡 芳親 大阪大学, 生命機能研究科, 特任教授(常勤) (00174897)
有田 英之 大阪大学, 医学系研究科, 招へい教員 (60570570)
金村 米博 独立行政法人国立病院機構大阪医療センター(臨床研究センター), その他部局等, 研究員 (80344175)
橋本 直哉 京都府立医科大学, 医学(系)研究科(研究院), 教授 (90315945)
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Project Period (FY) |
2016-04-01 – 2020-03-31
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Project Status |
Completed (Fiscal Year 2019)
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Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2018: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2017: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2016: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
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Keywords | 神経膠腫 / MRI / Radiomics / IDH / 脳腫瘍 / 脳腫瘍学 / 遺伝子変異 / Radiogenomics |
Outline of Final Research Achievements |
We were able to develop a radiomics analyzing system for gliomas. This system allows the user to perform a radiomics analysis of gliomas quickly. Using the method developed by ourselves, we performed radiomics for 169 cases of lower-grade gliomas. We proved that the IDH mutation status of the tumor was predicted with a diagnostic accuracy of higher than 80%. Diagnostic accuracy of discriminating lower-grade gliomas into IDH mutant, IDH mutant with 1p19q codeletion and IDH wildtype was still as low as 56%. When deep learning algorism was introduced into radiomics analysis, diagnostic accuracy for identifying three subgroups of lower-grade glioma improved by 10%. Finally, we performed radiomics for 162 glioblastoma cases and identified imaging-based prognostic biomarkers independent of MGMT promoter methylation status.
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Academic Significance and Societal Importance of the Research Achievements |
本研究テーマを遂行することにより、①社会実装可能な脳腫瘍に対するAI支援下非侵襲分子診断技術が開発され、さらに②大規模臨床試験など臨床医学における大規模データを有効に活用することにより、脳腫瘍に限らず他の体幹部がん疾患でも放射線画像と遺伝子情報を中心としたビッグデータによる汎用性の高い実用的なAI支援下radiogenomics診断技術開発が進むことが期待される。
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Report
(5 results)
Research Products
(53 results)
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[Journal Article] 11C-methionine-18F-FDG dual-PET-tracer-based target delineation of malignant glioma: evaluation of its geometrical and clinical features for planning radiation therapy.2019
Author(s)
Hirata T, Kinoshita M, Tamari, Seo Y, Suzuki O, Wakai N, Achiha T, Umehara T, Arita H, Kagawa N, Kanemura Y, Shimosegawa E, Hashimoto N, Hatazawa J, Kishima H, Teshima T, Ogawa K.
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Journal Title
Journal of Neurosurgery
Volume: 21
Pages: 1-11
DOI
Related Report
Peer Reviewed / Open Access
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[Journal Article] Diagnostic Accuracy of Neuroimaging to Delineate Diffuse Gliomas within the Brain: A Meta-Analysis.2017
Author(s)
Verburg N, Hoefnagels FWA, Barkhof F, Boellaard R, Goldman S, Guo J, Heimans JJ, Hoekstra OS, Jain R, Kinoshita M, Pouwels PJW, Price SJ, Reijneveld JC, Stadlbauer A, Vandertop WP, Wesseling P, Zwinderman AH, De Witt Hamer PC.
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Journal Title
American Journal of Neuroradiology
Volume: in press
Pages: 1884-1891
DOI
Related Report
Peer Reviewed / Int'l Joint Research
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[Journal Article] Voxel-Based Lesion Mapping of Cryptogenic Stroke in Patients with Advanced Cancer: A Detailed Magnetic Resonance Imaging Analysis of Distribution Pattern2017
Author(s)
Achiha T, Takagaki M, Oe H, Sakai M, Matsui H, Nakanishi K, Ozaki T, Fujimoto Y, Yoshimine T, Nakanishi K, Kinoshita M
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Journal Title
Journal of Stroke & Cerebrovascular Diseases
Volume: Epub ahead of print
Pages: 1521-1527
DOI
Related Report
Peer Reviewed / Acknowledgement Compliant
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[Journal Article] Downregulation of EGFR in a metastatic brain lesion of EGFR-mutated non-small cell lung cancer using a tyrosine kinase inhibitor: A case report.2017
Author(s)
Takagaki M, Kinoshita M, Nishino K, Nakano M, Adachi H, Ueno M, Kitamura M, Fujimoto Y, Tashiro K, Tomita Y, Imamura F, Yoshimine T.
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Journal Title
Oncol Lett
Volume: 13
Pages: 2085-2088
DOI
Related Report
Peer Reviewed / Open Access / Acknowledgement Compliant
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[Journal Article] Comparison of diffusion tensor imaging and 11C-methionine positron emission tomography for reliable prediction of tumor cell density in gliomas.2016
Author(s)
Kinoshita M, Arita H, Okita Y, Kagawa N, Kishima H, Hashimoto N, Tanaka H, Watanabe Y, Shimosegawa E, Hatazawa J, Fujimoto Y, Yoshimine T
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Journal Title
J Neurosurgery
Volume: 印刷中
Pages: 1136-1142
DOI
Related Report
Peer Reviewed / Open Access / Int'l Joint Research / Acknowledgement Compliant
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[Journal Article] A combination of TERT promoter mutation and MGMT methylation status predicts clinically relevant subgroups of newly diagnosed glioblastomas.2016
Author(s)
Arita H, Yamasaki K, Matsushita Y, Nakamura T, Shimokawa A, Takami H, Tanaka S, Mukasa A, Shirahata M, Shimizu S, Suzuki K, Saito K, Kobayashi K, Higuchi F, Uzuka T, Otani R, Tamura K, Sumita K, Ohno M, Miyakita Y, Kagawa N, Hashimoto N, Hatae R, Yoshimoto K, Shinojima N, Nakamura H, Kanemura Y, Okita Y, et al.
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Journal Title
Acta Neuropathol Commun
Volume: 4
Pages: 1-14
DOI
Related Report
Peer Reviewed / Open Access / Acknowledgement Compliant
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[Journal Article] Introduction of High Throughput Magnetic Resonance T2-Weighted Image Texture Analysis for WHO Grade 2 and 3 Gliomas.2016
Author(s)
Kinoshita M, Sakai M, Arita H, Shofuda T, Chiba Y, Kagawa N, Watanabe Y, Hashimoto N, Fujimoto Y, Yoshimine T, Nakanishi K, Kanemura Y.
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Journal Title
DOI
Related Report
Peer Reviewed / Open Access / Acknowledgement Compliant
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[Presentation] Imapact of 11C-methionine/FDG dural tracer PET-based, compared with MRI-based target delination of malignant gliomas for radiation planning.2018
Author(s)
Kinoshita M, Hirata T, Tamari K, Seo Y, Suzuki O, Wakai N, Achiha T, Umehara T, Arita H, Kagawa N, Kanemura Y, Shimosegawa E, Hashimoto N, Hatazawa J, Kishima H, Teshima T, Ogawa
Organizer
Society for Neuro-onclogy (SNO) meeting
Related Report
Int'l Joint Research
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[Presentation] Radiogenomics of 154 WHO grade 2 and 3 gliomas via machine learning and the impact of texture analysis.2018
Author(s)
Kinoshita M, Arita H, Kawaguchi A, Takahashi M, Narita Y, Terakawa Y, Tsuyuguchi N, Okita Y, Nonaka M, Moriuchi S, Fukai J, Izumoto S, Ishibashi K, Kodama Y, Mori K, Ichimura K, Kanemura Y
Organizer
International Society for Magnetic Resonance in Medicine (ISMRM) 26th Scientific Meeting 2018
Related Report
Int'l Joint Research
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[Presentation] Radionomic analysis of WHO grade 2 and 3 gliomas with genetic subgroup prediction.2017
Author(s)
Kinoshita M, Arita H, Takahashi M, Narita Y, Terakawa Y, Tsuyuguchi N, Okita Y, Nonaka M, Moriuchi S, Fukai J, Izumoto S, Ishibashi K, Kodama Y, Mori K, Ichimura K, Kanemura Y
Organizer
Society for Neuro-onclogy (SNO) meeting.
Related Report
Int'l Joint Research
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[Presentation] Radiogenomics of 201 WHO grade 2 and 3 gliomas2017
Author(s)
Kinoshita M, Arita H, Tkahashi M, Narita Y, Terakawa Y, Tsuyuguchi N, Okita Y, Noanaka M, Moriuchi S, Fukai J, Izumoto S, Ishibashi K, Kodoma Y, More K, Ichimura K, Kanemura Y
Organizer
International Society for Magnetic Resonance in Medicine (ISMRM) 25th Scientific Meeting
Related Report
Int'l Joint Research
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