Literature DB >> 31439250

Evaluation of fatty pancreas by proton density fat fraction using 3-T magnetic resonance imaging and its association with pancreatic cancer.

Hideyuki Fukui1, Masatoshi Hori2, Yasunari Fukuda3, Hiromitsu Onishi2, Atsushi Nakamoto2, Takashi Ota2, Kazuya Ogawa2, Keisuke Ninomiya2, Mitsuaki Tatsumi2, Keigo Osuga2, Daisaku Yamada3, Hidetoshi Eguchi3, Eiji Miyoshi4, Noriyuki Tomiyama2.   

Abstract

PURPOSE: To evaluate whether pancreatic magnetic resonance imaging-proton density fat fraction (MRI-PDFF) correlates with histological pancreatic fat fraction and its possible usefulness as a biomarker of pancreatic cancer compared with pancreatic index (PI) using computed tomography (CT number of the pancreas divided by that of the spleen).
METHOD: We included 55 consecutive patients (24 with pancreatic cancer and 31 controls; median age, 72 years) who preoperatively underwent MRI-PDFF using IDEAL-IQ and unenhanced CT and did not receive preoperative therapy. Histologic pancreatic fat fraction was measured in non-tumorous pancreatic tissues at the resection stump. A board-certified radiologist evaluated MRI-PDFF and PI. Correlations were evaluated among MRI-PDFF, PI, and histologic pancreatic fat fraction; the usefulness of MRI-PDFF as a predictor of pancreatic cancer was assessed.
RESULTS: Histologic pancreatic fat fraction significantly correlated with MRI-PDFF and PI (r = 0.802 and -0.534, respectively; P < 0.01). The absolute correlation coefficient was significantly higher for MRI-PDFF than for PI (P < 0.01). Compared with the control group, the pancreatic cancer group had higher MRI-PDFF and histologic pancreatic fat fraction (P < 0.01) but lower PI (P < 0.01). In multivariate analysis, MRI-PDFF was found to be the sole independent risk factor for pancreatic cancer (odds ratio: 1.19; P < 0.01).
CONCLUSIONS: Pancreatic fat, which was associated with pancreatic cancer, could be quantified by MRI-PDFF measurement; therefore, MRI-PDFF should be considered as a promising and superior imaging biomarker for estimating the probability of pancreatic cancer than PI.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Fatty pancreas; Magnetic resonance imaging; Pancreatic cancer; Pancreatic index; Pancreatic proton density fat fraction

Mesh:

Substances:

Year:  2019        PMID: 31439250     DOI: 10.1016/j.ejrad.2019.06.024

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  8 in total

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Review 2.  Intra-pancreatic fat deposition: bringing hidden fat to the fore.

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Authors:  Robert Wagner; Sabine S Eckstein; Hajime Yamazaki; Felicia Gerst; Jürgen Machann; Benjamin Assad Jaghutriz; Annette Schürmann; Michele Solimena; Stephan Singer; Alfred Königsrainer; Andreas L Birkenfeld; Hans-Ulrich Häring; Andreas Fritsche; Susanne Ullrich; Martin Heni
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4.  A novel second-stage surgical strategy for severely obese patient with pancreatic neuroendocrine tumor: a case report.

Authors:  Akira Umemura; Akira Sasaki; Hiroyuki Nitta; Hirokatsu Katagiri; Shoji Kanno; Daiki Takeda; Taro Ando; Satoshi Amano; Masao Nishiya; Noriyuki Uesugi; Tamotsu Sugai
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5.  Assessment of bone marrow fat fractions in the mandibular condyle head using the iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL-IQ) method.

Authors:  Kug Jin Jeon; Chena Lee; Yoon Joo Choi; Sang-Sun Han
Journal:  PLoS One       Date:  2021-02-26       Impact factor: 3.240

Review 6.  Quantitative Magnetic Resonance Imaging of the Pancreas of Individuals With Diabetes.

Authors:  John Virostko
Journal:  Front Endocrinol (Lausanne)       Date:  2020-12-04       Impact factor: 5.555

7.  The efficacy of the 3-dimensional vibe-caipirinha-dixon technique in the evaluation of pancreatic steatosis

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8.  Quantification of Fat Metaplasia in the Sacroiliac Joints of Patients With Axial Spondyloarthritis by Chemical Shift-Encoded MRI: A Diagnostic Trial.

Authors:  Dong Liu; Churong Lin; Budian Liu; Jun Qi; Huiquan Wen; Liudan Tu; Qiujing Wei; Qingcong Kong; Ya Xie; Jieruo Gu
Journal:  Front Immunol       Date:  2022-01-18       Impact factor: 7.561

  8 in total

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