کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4225045 1609744 2016 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Pancreatic neuroendocrine tumour: Correlation of apparent diffusion coefficient or WHO classification with recurrence-free survival
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی رادیولوژی و تصویربرداری
پیش نمایش صفحه اول مقاله
Pancreatic neuroendocrine tumour: Correlation of apparent diffusion coefficient or WHO classification with recurrence-free survival
چکیده انگلیسی

PurposeTo 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.MethodsThis 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.ResultsAll 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).ConclusionThe 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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Radiology - Volume 85, Issue 3, March 2016, Pages 680–687
نویسندگان
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