Literature DB >> 29514405

Association between pathologic grade and multiphase computed tomography enhancement in pancreatic neuroendocrine neoplasm.

Jinwoo Kang1, Ji Kon Ryu1, Jun Hyuk Son1, Jae Woo Lee1, Jin Ho Choi1, Sang Hyub Lee1, Yong-Tae Kim1.   

Abstract

BACKGROUND AND AIM: Pancreatic neuroendocrine neoplasms (PanNENs) are rare diseases but gradually increasing in prevalence with different prognosis. Multiphase contrast-enhanced computed tomography (CT) is known as widely used imaging modality for the diagnosis of pancreatic tumors. We aimed to investigate whether CT enhancement pattern is associated with the pathologic tumor grade and can predict that of PanNEN.
METHODS: Ninety PanNEN patients who underwent multiphase enhanced CT before pathologic diagnosis were retrospectively reviewed. CT enhancement values at each phase were measured, and its relation with pathologic grade was assessed.
RESULTS: Ninety PanNENs included 62 G1 (68.9%), 21 G2 (23.3%), and 7 G3 (7.8%). The enhancement values of the early arterial phase were significantly different among three groups (G1 119.4 HU, G2 94.7 HU, and G3 64.8 HU; G1 vs G2, P = 0.043; G1 vs G3, P = 0.001; and G2 vs G3, P = 0.027). In the late arterial phase, there was a difference between grade 1/2 and 3 but no significant difference between grade 1 and grade 2 (G1 164.3 HU, G2 142.9 HU, and G3 94.1 HU; G1 vs G2, P = 0.804; G1 vs G3, P = 0.016; and G2 vs G3, P = 0.022). The enhancement value of the portal phase did not differ significantly among the three groups. Diagnostic ability of the early arterial enhancement value for the differentiation of the G1 (cutoff 109.5 HU, sensitivity 73.3%, and specificity 62.5%) was comparable with that of the tumor size (cutoff 20.5 mm, sensitivity 68.9%, and specificity 66.7%).
CONCLUSIONS: Computed tomography enhancement value at early arterial phase and its changing pattern can be a useful predictor for the differentiation of pathologic grade of PanNENs.
© 2018 Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  attenuation value; computed tomography; pancreatic neuroendocrine neoplasm; pathologic grade

Year:  2018        PMID: 29514405     DOI: 10.1111/jgh.14139

Source DB:  PubMed          Journal:  J Gastroenterol Hepatol        ISSN: 0815-9319            Impact factor:   4.029


  5 in total

1.  CT radiomics may predict the grade of pancreatic neuroendocrine tumors: a multicenter study.

Authors:  Dongsheng Gu; Yabin Hu; Hui Ding; Jingwei Wei; Ke Chen; Hao Liu; Mengsu Zeng; Jie Tian
Journal:  Eur Radiol       Date:  2019-06-21       Impact factor: 5.315

2.  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

3.  Simple Vascular Architecture Classification in Predicting Pancreatic Neuroendocrine Tumor Grade and Prognosis.

Authors:  Ke Chen; Wenming Zhang; Zhaozhen Zhang; Yiping He; Yuan Liu; Xiujiang Yang
Journal:  Dig Dis Sci       Date:  2018-08-18       Impact factor: 3.199

4.  Pancreatic neuroendocrine tumor: prediction of the tumor grade using magnetic resonance imaging findings and texture analysis with 3-T magnetic resonance.

Authors:  Chuan-Gen Guo; Shuai Ren; Xiao Chen; Qi-Dong Wang; Wen-Bo Xiao; Jing-Feng Zhang; Shao-Feng Duan; Zhong-Qiu Wang
Journal:  Cancer Manag Res       Date:  2019-03-04       Impact factor: 3.989

5.  Differentiation of hypovascular pancreatic neuroendocrine tumors from pancreatic ductal adenocarcinoma using contrast-enhanced computed tomography.

Authors:  Shuai Ren; Xiao Chen; Zhonglan Wang; Rui Zhao; Jianhua Wang; Wenjing Cui; Zhongqiu Wang
Journal:  PLoS One       Date:  2019-02-01       Impact factor: 3.240

  5 in total

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