Literature DB >> 22495239

Imaging features of small (≤ 3 cm) pancreatic solid tumors on gadoxetic-acid-enhanced MR imaging and diffusion-weighted imaging: an initial experience.

Kyung Mi Jang1, Seong Hyun Kim, Young Kon Kim, Min Jung Park, Mi Hee Lee, Jiyoung Hwang, Hyunchul Rhim.   

Abstract

OBJECTIVE: The objective was to determine imaging features that distinguish small (≤3cm) solid pancreatic adenocarcinoma, neuroendocrine tumor (NET) and solid pseudopapillary tumor (SPT) on gadoxetic-acid-enhanced magnetic resonance imaging (MRI) and diffusion-weighed imaging (DWI).
MATERIALS AND METHODS: Twenty-four adenocarcinomas, 10 NETs and 8 SPTs were retrospectively included. Two radiologists analyzed morphologic features, signal intensity of the tumors on MR images including DWI (b=800) and dynamic enhancement pattern with consensus. Tumor-to-parenchyma ratio and tumor apparent diffusion coefficients (ADCs) were quantitatively assessed.
RESULTS: All adenocarcinomas had an ill-defined margin and irregular shape, and more frequently had pancreatic duct dilatation compared with other tumors (P<.05). All SPTs and all but one of the adenocarcinomas (95.8%) had no arterial enhancement with progressively increased enhancement, whereas seven NETs (70%) had arterial enhancement with progressively decreased enhancement (P<.01). The mean value of tumor-to-parenchyma ratio on arterial and portal phases was significantly higher for NETs, and the mean value of tumor ADCs was significantly lower for SPTs than for other tumors (P<.05).
CONCLUSIONS: Gadoxetic-acid-enhanced MRI may aid in differentiation between small adenocarcinomas, NETs and SPTs based on morphologic features with dynamic enhancement pattern in adenocarcinomas, dynamic enhancement pattern with tumor-to-parenchyma ration on arterial and portal phases in NETs, and dynamic enhancement pattern with lower ADC value in SPTs.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22495239     DOI: 10.1016/j.mri.2012.02.017

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  7 in total

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Authors:  J Si; S Huang; H Shi; Z Liu; Q Hu; G Wang; G Shen; D Zhang
Journal:  Dentomaxillofac Radiol       Date:  2014-01-22       Impact factor: 2.419

Review 2.  Imaging modalities for characterising focal pancreatic lesions.

Authors:  Lawrence Mj Best; Vishal Rawji; Stephen P Pereira; Brian R Davidson; Kurinchi Selvan Gurusamy
Journal:  Cochrane Database Syst Rev       Date:  2017-04-17

3.  Radiomics Analysis Based on Diffusion Kurtosis Imaging and T2 Weighted Imaging for Differentiation of Pancreatic Neuroendocrine Tumors From Solid Pseudopapillary Tumors.

Authors:  Yan-Jie Shi; Hai-Tao Zhu; Yu-Liang Liu; Yi-Yuan Wei; Xiu-Bo Qin; Xiao-Yan Zhang; Xiao-Ting Li; Ying-Shi Sun
Journal:  Front Oncol       Date:  2020-08-21       Impact factor: 6.244

4.  Comparison of Multidetector CT and Gadobutrol-Enhanced MR Imaging for Evaluation of Small, Solid Pancreatic Lesions.

Authors:  Tae Won Choi; Jeong Min Lee; Jung Hoon Kim; Mi Hye Yu; Joon Koo Han; Byung Ihn Choi
Journal:  Korean J Radiol       Date:  2016-06-27       Impact factor: 3.500

5.  Differentiation between non-hypervascular pancreatic neuroendocrine tumour and pancreatic ductal adenocarcinoma on dynamic computed tomography and non-enhanced magnetic resonance imaging.

Authors:  Kazuyoshi Ohki; Takao Igarashi; Hirokazu Ashida; Megumi Shiraishi; Yosuke Nozawa; Hiroya Ojiri
Journal:  Pol J Radiol       Date:  2019-03-13

6.  Abnormal Findings on "T1WI or DWI or MRCP:" An Effective Boolean Interpretation Model in Discriminating Small Pancreatic Ductal Adenocarcinoma from Control Group.

Authors:  Hainan Ren; Naoko Mori; Minami Hirasawa; Shin Hamada; Shunji Mugikura; Atsushi Masamune; Kei Takase
Journal:  J Clin Imaging Sci       Date:  2021-10-12

7.  Quantitative parameters of intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI): potential application in predicting pathological grades of pancreatic ductal adenocarcinoma.

Authors:  Wanling Ma; Guangwen Zhang; Jing Ren; Qi Pan; Didi Wen; Jinman Zhong; Zhuoli Zhang; Yi Huan
Journal:  Quant Imaging Med Surg       Date:  2018-04
  7 in total

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