Development of temperature control system for selective brain hypothermia to estimate brain temperature distribution

2022 Fiscal Year Final Research Report

• Project/Area Number: 20K12664
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 90130:Medical systems-related
• Research Institution: Tokyo Medical and Dental University
• Principal Investigator: Honma Satoru 東京医科歯科大学, 大学院医歯学総合研究科, 助教 (60361721)
• Co-Investigator(Kenkyū-buntansha): 伊藤 南 東京医科歯科大学, 大学院医歯学総合研究科, 教授 (20311194)
• Project Period (FY): 2020-04-01 – 2023-03-31
• Keywords: 選択式脳低温療法 / 数理モデル / 内部状態推定

Outline of Final Research Achievements

We developed an algorithm to estimate the temperature distribution in the brain. Our algorithm uses the temperature of blood flow input to the brain and the infusion fluid and the venous blood output from the brain in a selective brain hypothermia. The amount of metabolic heat production in the brain is estimated by our algorithm and calculate the temperature distribution in the brain. Our previously developed mathematical simulator can simulate the temperature distribution in a disease brain as a substitute of patient's brain. The simulater is improved to calculate the dynamics of another mathematical slave brain at the same time. Our developed algorithm is intriduced into the simulator and a slave brain estimate the properties of disease brain. It is confirmed that the slave brain can give the temperature distribution of the disease brain within about 2 hours exactly.

Free Research Field

医用工学

Academic Significance and Societal Importance of the Research Achievements

MRIなどの大掛かりな機器を使用できないICUなどの医療施設の中で，患者脳をセンサなどで障害することなく，脳内の温度分布を測定できることが示唆された．これは脳低温療法のみならず，麻酔下で全身管理しなければならない疾患で．脳内温度のモニタリングを実現しうる新しい温度測定システムの構築につながる技術である．内部状態を推定する方法については，工学的にも確立しておらず，また医学応用まで可能にする本研究成果は，学術的にも社会的にもきわめて重要な意義がある．