胰腺神经内分泌肿瘤与胰腺导管脱癌超声特征的比较分析

Jingzhi Huang, Ming Xu, Jie Chen, Xiao′er Zhang, Xiaoyan Xie, Xiaohua Xie
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摘要

目的比较胰腺神经内分泌肿瘤(pNET)和胰腺导管腺癌(pDAC)的超声影像学特征,并确定不同病理分级的pNET的超声特征。方法回顾性分析中山大学附属第一医院2010年1月至2019年3月收治的67例经病理证实的pNETs和82例经病理确诊的pDAC的超声影像学资料。比较两组患者常规超声特征和CEUS表现的差异。病理分级为G1、G2和G3的pNET病变共50例,并对3种病理分级的超声特征进行了比较。结果①pNET与pDAC的超声成像特征比较显示:两组在病变分布、病变大小、回声、边界、血流信号、钙化、胰管扩张、肝转移、血管受累等方面均有统计学意义,建立了包括血流量信号、胰管扩张、肝转移和动静脉期增强的二元逻辑回归模型。pNET的诊断模型灵敏度为0.988,特异性为0.791,ROC曲线下面积为0.951,②三种病理分级pNETs的超声显像特征比较:肝转移和静脉期增强三组间差异有统计学意义(均P<0.05),G1期pNETs仅有10.5%(2/19)有肝转移,而47.8%(11/23)的G2和62.5%(5/8)的G3 pNETs有肝转移。在静脉期,78.9%(15/19)的G1 pNETs显示高或等增强,而100%(8/8)的G3病变显示低增强。结论多种超声成像特征的结合可能有助于区分pNET和pDAC。不同病理级别的pNETs在超声成像特征上存在一定差异。关键词:超声检查;超声造影;胰腺神经内分泌肿瘤;胰腺导管腺癌
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Comparative analysis of ultrasonographic characteristics between pancreatic neuroendocrine tumor and pancreatic ductal denocarcinoma
Objective To compare the characteristics of ultrasonic imaging between pancreatic neuroendocrine tumor (pNET) and pancreatic ductal adenocarcinoma (pDAC), and to identify the ultrasonic characteristics in different pathological grades of pNETs. Methods The ultrasonic imaging data of 67 patients with pathologically confirmed pNETs and 82 patients with pathologically confirmed pDACs from the First Affiliated Hospital of Sun Yat-sen University from January 2010 to March 2019 were retrospectively analyzed. Differences in conventional ultrasonic characteristics and CEUS manifestations between the two groups were compared. Fifty pNET lesions were confirmed with pathological grades G1, G2 and G3.Ultrasonic characteristics of the 3 pathological grades were also compared. Results ①Comparison of ultrasonic imaging characteristics between pNET and pDAC showed that: there were statistically significant differences between the two groups in lesion distribution, lesion size, echo, boundary, signal of blood flow, calcification, dilatation of main pancreatic duct, liver metastasis, vascular involvement, CEUS enhancement in the three phases and non-enhancement area of necrosis (all P<0.05). The binary logistic regression model was built including the signal of blood flow, dilation of main pancreatic duct, liver metastasis and enhancementin arterial and venous phases. The diagnostic model for pNET had 0.988 in sensitivity, 0.791 in specificity, and the area under the ROC curve at 0.951, 95%CI being (0.920, 0.983). ②Comparison of the characteristics of ultrasonic imaging between the pNETs derived from the three pathological grades: there were statistically significant differences among the three groups with the liver metastasis and the enhancement in venous phase (both P<0.05). Only 10.5% (2/19) of G1 pNETs had liver metastasis, while 47.8% (11/23) of G2 and 62.5% (5/8) of G3 pNETs had liver metastasis. In venous phase, 78.9% (15/19) of G1 pNETs showed hyper- or iso- enhancement, while 100% (8/8) of G3 lesions showed hypo-enhancement. Conclusions The combination of features from multiple ultrasonic imaging may help to differentiate pNET from pDAC. There are certain differences in ultrasonic imaging features in pNETs at different pathological grades. Key words: Ultrasonography; Contrast-enhanced ultrasound; Pancreatic neuroendocrine tumor; Pancreatic ductal denocarcinoma
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中华超声影像学杂志
中华超声影像学杂志 Medicine-Radiology, Nuclear Medicine and Imaging
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9126
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