Literature DB >> 26201823

Findings in pancreatic MRI associated with pancreatic fibrosis and HbA1c values.

Yoshifumi Noda1, Satoshi Goshima1, Kaori Tanaka2, Shinji Osada2, Hiroyuki Tomita3, Akira Hara3, Yukio Horikawa4, Jun Takeda4, Kimihiro Kajita5, Haruo Watanabe1, Hiroshi Kawada1, Nobuyuki Kawai1, Masayuki Kanematsu1,5, Kyongtae T Bae6.   

Abstract

PURPOSE: To evaluate the diagnostic performance of noncontrast-enhanced magnetic resonance imaging (MRI) to grade pancreatic fibrosis and to assess hemoglobin (Hb) A1c values.
MATERIALS AND METHODS: Twenty-nine consecutive patients with pancreatic or biliary malignancy who underwent pancreatectomy were evaluated. Patients were classified into three groups: HbA1c < 5.7 (group 1), 5.7 ≤ HbA1c < 6.5 (group 2), and HbA1c ≥ 6.5 (group 3). MRI of the pancreas was performed using a 1.5T MR system. The pancreas-to-muscle signal intensity ratio (SIR) on in- and opposed-phase T1 -, T2 -, and diffusion-weighted images, as well as the apparent diffusion coefficient were calculated. MRI measurements, degrees of pancreatic fibrosis, and HbA1c values were compared using multiple regression analysis and Kruskal-Wallis test.
RESULTS: The pancreatic fibrosis grade was negatively correlated with the SIR on in-phase T1 -weighted images (r = -0.67, P = 0.0002). The pancreatic fibrosis grade and HbA1c value were negatively correlated with the SIR on opposed-phase T1 -weighted images (r = -0.47, P = 0.019 and r = -0.51, P = 0.0089, respectively). SIRs on in- and opposed-phase T1 -weighted images were significantly lower in group 3 than in groups 1 and 2 (P < 0.05).
CONCLUSION: The pancreas-to-muscle SIRs on in- and opposed-phase T1 -weighted images could be a potential biomarker for pancreatic fibrosis and elevated HbA1c values.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  HbA1c; magnetic resonance imaging; pancreas; pancreatic fibrosis

Mesh:

Substances:

Year:  2015        PMID: 26201823     DOI: 10.1002/jmri.25019

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  7 in total

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Journal:  Abdom Radiol (NY)       Date:  2021-11-16

2.  Prediction of pancreatic atrophy after steroid therapy using equilibrium-phase contrast computed tomography imaging in autoimmune pancreatitis.

Authors:  Yasutaka Yamada; Atsuhiro Masuda; Keitaro Sofue; Eisuke Ueshima; Hideyuki Shiomi; Arata Sakai; Takashi Kobayashi; Takuya Ikegawa; Shunta Tanaka; Ryota Nakano; Takeshi Tanaka; Maya Kakihara; Shigeto Ashina; Masahiro Tsujimae; Kohei Yamakawa; Shohei Abe; Masanori Gonda; Shigeto Masuda; Noriko Inomata; Hiromu Kutsumi; Tomoo Itoh; Takamichi Murakami; Yuzo Kodama
Journal:  JGH Open       Date:  2020-03-10

3.  Pancreas and kidney changes in type 2 diabetes patients: the role of diffusion-weighted imaging

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Journal:  Turk J Med Sci       Date:  2021-06-28       Impact factor: 0.973

4.  The pancreatic exocrine function in patients with pancreatic endocrine insufficiency: the evaluation with cine-dynamic magnetic resonance cholangiopancreatography using a spatially selective inversion-recovery pulse and T1 mapping.

Authors:  Mayumi Higashi; Masahiro Tanabe; Teppei Yonezawa; Matakazu Furukawa; Etsushi Iida; Katsuyoshi Ito
Journal:  Jpn J Radiol       Date:  2022-03-02       Impact factor: 2.701

5.  Obesity-induced pancreatopathy in rats is reversible after bariatric surgery.

Authors:  Vinciane Rebours; Philippe Garteiser; Lara Ribeiro-Parenti; Jean-Baptiste Cavin; Sabrina Doblas; Gwenaël Pagé; André Bado; Alain Couvineau; Philippe Ruszniewski; Valérie Paradis; Maude Le Gall; Bernard E Van Beers; Anne Couvelard
Journal:  Sci Rep       Date:  2018-11-02       Impact factor: 4.379

6.  Pre-treatment DWI as a predictor of overall survival in locally advanced pancreatic cancer treated with Cyberknife radiotherapy and sequential S-1 therapy.

Authors:  Yu Zhang; Xiaofei Zhu; Denghui Liu; Jiaqi Song; Huojun Zhang; Jianping Lu
Journal:  Cancer Imaging       Date:  2018-02-22       Impact factor: 3.909

7.  Glycemic control is associated with atrial structural remodeling in patients with type 2 diabetes.

Authors:  Qing Wang; Jing Wang; Pei Wang; Liaoyuan Wang; Lanting Jia; Xinyu Ling; Wang Xi; Jie Min; Hua Shen; Jian Xiao; Jinxiang Yuan; Zhinong Wang
Journal:  BMC Cardiovasc Disord       Date:  2019-12-02       Impact factor: 2.298

  7 in total

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