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Correlation of Computed Tomography Imaging Features and Pathological Features of 41 Patients with Pancreatic Neuroendocrine Tumors

机译:41例胰腺神经内分泌肿瘤的计算机断层扫描成像特征与病理特征的相关性

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Background:/Aims: Pancreatic neuroendocrine tumors (PNET) are relatively rare. Here, we present clinical and pathological characteristics of PNETs to show a relationship between computed tomography (CT) imaging and the 2010 World Health Organization (WHO) classification. Methodology: We retrospectively reviewed the records of 41 PNET patients who were treated between 2002 and 2012. All tumors were classified as neuroendocrine tumor (NET) grade 1 (121), NET grade 2 (G2), or neuroendocrine carcinoma (NEC) grade 3 (G3) on the basis of the 2010 WHO classification system. Results: Twenty-five tumors were classified as G1, 11 as G2, and five as G3. Mean sizes of the G1, G2 and G3 tumors were 1.84 +/- 0.54, 4.90 +/- 0.84, and 5.62 +/- 1.18 cm, respectively, (P < 0.01). A PNET is typically hypervascular and exhibits contrast enhancement on enhanced CT. Higher percentage of G1 tumors demonstrated typical imaging and showed a significantly greater distinct mass compared with G2 and G3 tumors. Conclusions: Although PNET has many imaging features that appear on CT, G2 and G3 tumors often show atypical imaging features, particularly with large sizes and/or ill-defined features, when compared with G1 tumors. If a PNET has atypical imaging features, possibility of malignancy should be considered.
机译:背景:/目的:胰腺神经内分泌肿瘤(PNET)相对罕见。在这里,我们介绍了PNET的临床和病理学特征,以显示计算机断层扫描(CT)成像与2010年世界卫生组织(WHO)分类之间的关系。方法:我们回顾性回顾了2002年至2012年间接受治疗的41例PNET患者的记录。所有肿瘤均被分类为1级神经内分泌肿瘤(NET)(121),2级NET(G2)或3级神经内分泌癌(NEC) (G3)基于2010年WHO分类系统。结果:25个肿瘤被分类为G1,11个被分类为G2,5个被分类为G3。 G1,G2和G3肿瘤的平均大小分别为1.84 +/- 0.54、4.90 +/- 0.84和5.62 +/- 1.18 cm(P <0.01)。 PNET通常是高血管的,在增强的CT上显示对比度增强。与G2和G3肿瘤相比,较高百分比的G1肿瘤表现出典型的影像学表现,并显示出明显更大的独特肿块。结论:尽管PNET具有许多出现在CT上的影像学特征,但与G1肿瘤相比,G2和G3肿瘤通常表现出非典型的影像学特征,特别是具有大尺寸和/或不明确的特征。如果PNET具有非典型的影像学特征,则应考虑恶性肿瘤的可能性。

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