| Project/Area Number |
18K15564
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 52040:Radiological sciences-related
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| Research Institution | Juntendo University |
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Principal Investigator |
Koshino Saori 順天堂大学, 医学部, 非常勤助手 (50801552)
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| Project Period (FY) |
2018-04-01 – 2022-03-31
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| Project Status |
Completed (Fiscal Year 2021)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2021: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2020: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2019: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2018: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 拡散時間 / 放射線学的病理学的相関 / 脳梗塞 / 脳腫瘍 / 拡散MRI / 拡散強調像 |
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| Outline of Final Research Achievements |
Diffusion-weighted images, which visualize the diffusion motion of water molecules in tissue, are an essential MRI sequence for diagnostic imaging. Conventional diffusion-weighted images are useful for the diagnosis of benign and malignant tumors. OGSE technique uses a shorter diffusion time than conventional diffusion-weighted images and can distinguish whether diffusion limitation is due to the internal structure of the tumor or the viscosity within the tumor. We observed a wide variety of brain tumors using the OGSE method and investigated whether the OGSE method can help determine the malignancy of brain tumors when the malignancy is not known. Basic studies and observations of brain tumors were conducted and presented at domestic and international conferences and papers.
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| Academic Significance and Societal Importance of the Research Achievements |
類上皮腫を観察しMagnetic Resonance in Medical Sciences誌(17(3):269-272, 2018)に掲載された。基礎的検討はJapanese Journal of Radiology誌(36(7):415-420, 2018)に掲載された。脈絡叢嚢胞の観察はMagnetic Resonance Imaging誌(57:323-327, 2019)に掲載した。良悪性の脳腫瘍を評価しMagnetic Resonance Imaging誌(72:34-41, 2020)に掲載された。OGSE法は良悪性の判断を助け、手術等の患者の侵襲を減らすことが期待される。
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