2018 Fiscal Year Final Research Report

Formulation of the extraction protocol for pancreatic function and early stage of fibrosis by micro-perfusion analysis in localized high resolution imaging

Research Project

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Project/Area Number	16K10310
Research Category	Grant-in-Aid for Scientific Research (C)
Allocation Type	Multi-year Fund
Section	一般
Research Field	Radiation science
Research Institution	Gifu University
Principal Investigator	Koyasu Hiromi 岐阜大学, 大学院医学系研究科, 非常勤講師 (70610426)
Co-Investigator(Kenkyū-buntansha)	川田紘資岐阜大学, 大学院医学系研究科, 助教 (00585276) 河合信行岐阜大学, 医学部附属病院, 助教 (20724561) 松尾政之岐阜大学, 大学院医学系研究科, 教授 (40377669) 野田佳史岐阜大学, 医学部附属病院, 助教 (60643020) 五島聡岐阜大学, 医学部附属病院, 准教授 (90402205) 棚橋裕吉岐阜大学, 医学部附属病院, 助教 (40724563)
Project Period (FY)	2016-04-01 – 2019-03-31
Keywords	膵臓 / MRI
Outline of Final Research Achievements	Since the number of cases of early chronic pancreatitis is limited, we evaluated the relationship between extracellular volume fraction (ECV) and HbA1c value, which has already been reported to be correlated with pancreatic fibrosis. 45 patients underwent contrast enhanced MRI including T1 mapping pulse sequence which can quantify T1 values. Patients were classified into three groups according to HbA1c values, HbA1c < 5.7% (G1); 5.7% < HbA1c < 6.5% (G2); and HbA1c > 6.5% (G3). Radiologist measured the T1 values of the pancreas and aorta, and then calculated ECV. We evaluated the correlation between ECV and HbA1c values and compared in terms of ECV among 3 groups. There was moderate and positive correlation between ECV and HbA1c values. G3 was significantly higher in ECV than G1 and 2. It is suggested that the ECV may be an imaging biomarker to predict the degree of pancreatic fibrosis, and the future clinical application can be expected in patients with early chronic pancreatitis.
Free Research Field	MRI
Academic Significance and Societal Importance of the Research Achievements	慢性膵炎は、膵内外分泌機能の低下により消化吸収障害や糖尿病を生じ、また膵癌の発癌リスクがあることも明らかとなっている。しかしながら、診断には侵襲性の高い超音波内視鏡を用いた生検などの精査が必要であり、非侵襲性で簡便に施行できる評価基準が強く求められている。今回の研究によりMRIのT1 mappingという定量画像を用いて、非侵襲的に膵の線維化を推測することが可能となり、早期慢性膵炎診断への応用にも今後期待が寄せられる。