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Pancreatic neuroendocrine tumour: Correlation of apparent diffusion coefficient or WHO classification with recurrence-free survival

Authors
Kim, Mi miKang, Tae WookKim, Young KonKim, Seong HyunKwon, WooilHa, Sang YunJi, Sang A.
Issue Date
Mar-2016
Publisher
Elsevier BV
Keywords
Apparent diffusion coefficient; Magnetic resonance imaging; Pancreatic neuroendocrine tumour; Treatment outcome; WHO classification
Citation
European Journal of Radiology, v.85, no.3, pp.680 - 687
Indexed
SCIE
SCOPUS
Journal Title
European Journal of Radiology
Volume
85
Number
3
Start Page
680
End Page
687
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/154926
DOI
10.1016/j.ejrad.2015.12.029
ISSN
0720-048X
Abstract
Purpose: To evaluate the correlation between grade of pancreatic neuroendocrine tumours (pNETs) based on the 2010 World Health Organization (WHO) classification and the apparent diffusion coefficient (ADC), and to assess whether the ADC value and WHO classification can predict recurrence-free survival (RFS) after surgery for pNETs. Methods: This retrospective study was approved by the Institutional Review Board. The requirement for informed consent was waived. Between March 2009 and November 2014, forty-nine patients who underwent magnetic resonance (MR) imaging with diffusion-weighted image and subsequent surgery for single pNETs were included. Correlations among qualitative MR imaging findings, quantitative ADC values, and WHO classifications were assessed. An ordered logistic regression test was used to control for tumour size as a confounding factor. The association between ADC value (or WHO classification) and RFS was analysed. Results: All tumors (n=49) were classified as low- (n=29, grade 1), intermediate- (n=17, grade 2), and high-grade (n=3, grade 3), respectively. The mean ADC of pNETs was moderately negatively correlated with WHO classification before and after adjustment for tumour size (ρ=-0.64, p<0.001 and ρ=-0.55, p=0.001 respectively). RFS was significantly associated with WHO classification (p=0.007), but not with the ADC value (p=0.569). Conclusion: The ADC value of pNETs is moderately correlated with WHO tumour grade, regardless of tumour size. However, the WHO tumour classification of pNET may be more suitable for predicting RFS than the ADC value.
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