Literature DB >> 29258825

Role of diffusion-weighted MR imaging in predicting the grade of nonfunctional pancreatic neuroendocrine tumors.

F Kulali1, A Semiz-Oysu2, M Demir2, M Segmen-Yilmaz3, Y Bukte2.   

Abstract

PURPOSE: The purpose of this study was to describe the magnetic resonance imaging (MRI) findings including diffusion-weighted MRI of nonfunctional pancreatic neuroendocrine tumors (PanNETs) and their hepatic metastases, and investigate the relationships between MRI features and histopathological findings for each grade of PanNETs.
MATERIALS AND METHODS: A total of 30 patients were included. There were 14 men and 16 women with a mean age of 61.60±11 (SD) years (range: 31-81years). PanNET lesions were analyzed qualitatively (signal intensities, contrast enhancement, lesion margins, presence of metastasis and characteristics of metastases) and quantitatively (signal intensity ratios, contrast enhancement indices and normalized apparent diffusion coefficient [ADC]). The relationships between MRI findings and histopathological findings were evaluated.
RESULTS: Among 30 nonfunctional PanNETs, 11 were high-grade tumors, 10 were intermediate and 9 were low-grade tumors. All high grade PanNETs showed low to intermediate signal on T2-weighted images and ill-defined borders. All intermediate grade PanNETs had intermediate and 6 low grade PanNETs have high signal on T2-weighted images. Patients with hepatic metastases from high grade PanNETs had cystic component in 8/10 (80%) and wash-out in 7/10 (70%) whereas intermediate grade PanNETs had none (P<0.05). The normalized ADC values of high grade PanNETs was lower than those of intermediate and low grade PanNETs (P<0.05).
CONCLUSION: The presence of cystic component or contrast wash-out in hepatic metastases correlates with high grade PanNETs. The pre-operative MRI combined with DWI has an important role in grading and surgical planning of PanNETs.
Copyright © 2017 Editions françaises de radiologie. Published by Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Histopathological grading; Magnetic resonance imaging (MRI); Neuroendocrine (NET) pancreatic tumor; Radiomic

Mesh:

Year:  2017        PMID: 29258825     DOI: 10.1016/j.diii.2017.10.012

Source DB:  PubMed          Journal:  Diagn Interv Imaging        ISSN: 2211-5684            Impact factor:   4.026


  12 in total

1.  Deep learning for World Health Organization grades of pancreatic neuroendocrine tumors on contrast-enhanced magnetic resonance images: a preliminary study.

Authors:  Xuan Gao; Xiaolin Wang
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-09-26       Impact factor: 2.924

Review 2.  Artificial intelligence: a critical review of current applications in pancreatic imaging.

Authors:  Maxime Barat; Guillaume Chassagnon; Anthony Dohan; Sébastien Gaujoux; Romain Coriat; Christine Hoeffel; Christophe Cassinotto; Philippe Soyer
Journal:  Jpn J Radiol       Date:  2021-02-06       Impact factor: 2.374

Review 3.  CT and MRI of pancreatic tumors: an update in the era of radiomics.

Authors:  Marion Bartoli; Maxime Barat; Anthony Dohan; Sébastien Gaujoux; Romain Coriat; Christine Hoeffel; Christophe Cassinotto; Guillaume Chassagnon; Philippe Soyer
Journal:  Jpn J Radiol       Date:  2020-10-21       Impact factor: 2.374

4.  Magnetic resonance imaging radiomic analysis can preoperatively predict G1 and G2/3 grades in patients with NF-pNETs.

Authors:  Yun Bian; Jing Li; Kai Cao; Xu Fang; Hui Jiang; Chao Ma; Gang Jin; Jianping Lu; Li Wang
Journal:  Abdom Radiol (NY)       Date:  2020-08-17

5.  Noncontrast Radiomics Approach for Predicting Grades of Nonfunctional Pancreatic Neuroendocrine Tumors.

Authors:  Yun Bian; Zengrui Zhao; Hui Jiang; Xu Fang; Jing Li; Kai Cao; Chao Ma; Shiwei Guo; Li Wang; Gang Jin; Jianping Lu; Jun Xu
Journal:  J Magn Reson Imaging       Date:  2020-04-28       Impact factor: 4.813

Review 6.  Imaging of pancreatic neuroendocrine tumors: recent advances, current status, and controversies.

Authors:  Lingaku Lee; Tetsuhide Ito; Robert T Jensen
Journal:  Expert Rev Anticancer Ther       Date:  2018-07-17       Impact factor: 4.512

Review 7.  New frontiers in imaging including radiomics updates for pancreatic neuroendocrine neoplasms.

Authors:  Mohammed Saleh; Priya R Bhosale; Motoyo Yano; Malak Itani; Ahmed K Elsayes; Daniel Halperin; Emily K Bergsland; Ajaykumar C Morani
Journal:  Abdom Radiol (NY)       Date:  2020-10-23

8.  Minimal apparent diffusion coefficient in predicting the Ki-67 proliferation index of pancreatic neuroendocrine tumors.

Authors:  Yijing Xie; Shipeng Zhang; Xianwang Liu; Xiaoyu Huang; Qing Zhou; Yongjun Luo; Qian Niu; Junlin Zhou
Journal:  Jpn J Radiol       Date:  2022-03-14       Impact factor: 2.701

9.  Correlation Between Apparent Diffusion Coefficient Value on MRI and Histopathologic WHO Grades of Neuroendocrine Tumors.

Authors:  Wouter Mebis; Annemiek Snoeckx; Bob Corthouts; Haroun El Addouli; Simon Nicolay; Astrid Van Hoyweghen; Maarten Spinhoven; Bart Op de Beeck
Journal:  J Belg Soc Radiol       Date:  2020-01-30       Impact factor: 1.894

10.  Diagnostic Performance of Diffusion-Weighted Imaging for Differentiating Malignant From Benign Intraductal Papillary Mucinous Neoplasms of the Pancreas: A Systematic Review and Meta-Analysis.

Authors:  Fan Xu; Yingying Liang; Wei Guo; Zhiping Liang; Liqi Li; Yuchao Xiong; Guoxi Ye; Xuwen Zeng
Journal:  Front Oncol       Date:  2021-07-05       Impact factor: 6.244

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