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胰腺神经内分泌肿瘤的诊断

Diagnosis of Pancreatic Neuroendocrine Tumors.

作者信息

Lee Dong Wook, Kim Michelle Kang, Kim Ho Gak

机构信息

Department of Internal Medicine, Daegu Catholic University School of Medicine, Daegu, Korea.

Division of Gastroenterology, Department of Medicine, Icahn School of Medicine, The Mount Sinai Medical Center, New York, NY, USA.

出版信息

Clin Endosc. 2017 Nov;50(6):537-545. doi: 10.5946/ce.2017.131. Epub 2017 Nov 30.

Abstract

Pancreatic neuroendocrine tumors (PNETs) are relatively rare; however, the incidence has increased over the last few decades. They are classified as functional or non-functional tumors according to the presence of associated clinical symptoms. The majority are non-functional tumors. For classification and staging, the World Health Organization 2010 classification system is the most commonly accepted. Chromogranin A is the most sensitive marker but has insufficient specificity. In general, PNETs are hypervascular tumors, and multiphasic contrast-enhanced computed tomography is considered the first choice for imaging study. Multiphasic magnetic resonance imaging can detect PNETs smaller than 2 cm and small liver metastasis compared with other modalities. Somatostatin receptor scintigraphy is often used in cases where functional PNETs are suspected. Positron emission tomography (PET) scan with 18F-fluorodeoxyglucose cannot visualize PNETs, but PET with 68-Ga DOTATATE can. Endoscopic ultrasonography can characterize smaller PNETs using contrast and confirm histology through fine needle aspiration or biopsy. In this article, we review the characteristics of grading systems and diagnostic modalities commonly used for PNETs.

摘要

胰腺神经内分泌肿瘤(PNETs)相对罕见;然而,在过去几十年中其发病率有所上升。根据是否存在相关临床症状,它们被分为功能性或非功能性肿瘤。大多数是非功能性肿瘤。对于分类和分期,世界卫生组织2010年分类系统是最常被接受的。嗜铬粒蛋白A是最敏感的标志物,但特异性不足。一般来说,PNETs是富血管肿瘤,多期对比增强计算机断层扫描被认为是影像学检查的首选。与其他检查方式相比,多期磁共振成像能够检测出小于2厘米的PNETs以及小的肝转移灶。生长抑素受体闪烁扫描常用于疑似功能性PNETs的病例。18F-氟脱氧葡萄糖正电子发射断层扫描(PET)不能显示PNETs,但68-Ga DOTATATE PET可以。内镜超声检查可以通过造影来鉴别较小的PNETs,并通过细针穿刺或活检来确定组织学特征。在本文中,我们回顾了常用于PNETs的分级系统和诊断方式的特点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5712/5719919/baf84a067f00/ce-2017-131f1.jpg

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