Prediction of cerebral aneurysm rupture with MRI macrophage imaging and computational fluid dynamics

2018 Fiscal Year Final Research Report

• Project/Area Number: 15K10297
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Neurosurgery
• Research Institution: University of Yamanashi
• Principal Investigator: KANEMARU Kazuya 山梨大学, 大学院総合研究部, 講師 (80402080)
• Co-Investigator(Kenkyū-buntansha): 木内 博之 山梨大学, 大学院総合研究部, 教授 (30241623) ; 橋本 幸治 山梨大学, 大学院総合研究部, 医学研究員 (10644792)
• Research Collaborator: MURAYAMA Hiroaki
• Project Period (FY): 2015-04-01 – 2019-03-31
• Keywords: CFD / cerebral aneurysm / macrophage / pathophysiology

Outline of Final Research Achievements

Internal carotid artery aneurysms were classified into three groups by the location and the type, and evaluated with computational fluid dynamics (CFD), and pathological examination with surgical specimen. CFD was also applied to the vascular model in which the aneurysm was deleted. The factors which influence aneurysmal formation and rupture were investigated. The characteristic distribution of the parameters extracted from the study were noted.

Free Research Field

脳血管障害

Academic Significance and Societal Importance of the Research Achievements

脳動脈瘤破裂によるくも膜下出血は、脳卒中の中でも最も重篤な疾患であり、その発生ならびに破裂の予測因子の解明や予防法の確立が課題となっている。今回、流体力学的解析と組織学的解析、さらに臨床的な動脈瘤の破裂リスク評価とを組み合わせて解析を行った。さらに検討症例数を増加させた検討や、この解析手法の発展により動脈瘤の治療法の進歩につながると期待できる。