Pancreatic neuroendocrine neoplasms: Correlation between MR features and pathological tumor grades.

Q Engineering
Feng Jin, Kai Wang, Ting-Ting Qin, Xin Li, Feng Guo, Gui-Na Ma, Xue-Han Hu, Ping Han
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引用次数: 2

Abstract

This study investigated the accuracy of MRI features in differentiating the pathological grades of pancreatic neuroendocrine neoplasms (PNENs). A total of 31 PNENs patients were retrospectively evaluated, including 19 cases in grade 1, 5 in grade 2, and 7 in grade 3. Plain and contrastenhanced MRI was performed on all patients. MRI features including tumor size, margin, signal intensity, enhancement patterns, degenerative changes, duct dilatation and metastasis were analyzed. Chi square tests, Fisher's exact tests, one-way ANOVA and ROC analysis were conducted to assess the associations between MRI features and different tumor grades. It was found that patients with older age, tumors with higher TNM stage and without hormonal syndrome had higher grade of PNETs (all P<0.05). Tumor size, shape, margin and growth pattern, tumor pattern, pancreatic and bile duct dilatation and presence of lymphatic and distant metastasis as well as MR enhancement pattern and tumor-topancreas contrast during arterial phase were the key features differentiating tumors of all grades (all P<0.05). ROC analysis revealed that the tumor size with threshold of 2.8 cm, irregular shape, pancreatic duct dilatation and lymphadenopathy showed satisfactory sensitivity and specificity in distinguishing grade 3 from grade 1 and grade 2 tumors. Features of peripancreatic tissue or vascular invasion, and distant metastasis showed high specificity but relatively low sensitivity. In conclusion, larger size, poorlydefined margin, heterogeneous enhanced pattern during arterial phase, duct dilatation and the presence of metastases are common features of higher grade PNENs. Plain and contrast-enhanced MRI provides the ability to differentiate tumors with different pathological grades.

胰腺神经内分泌肿瘤:MR特征与病理肿瘤分级的关系。
本研究探讨了MRI特征在胰腺神经内分泌肿瘤(PNENs)病理分级中的准确性。回顾性分析31例PNENs患者,其中1级19例,2级5例,3级7例。所有患者均行MRI平扫及增强扫描。MRI表现包括肿瘤大小、边界、信号强度、增强模式、退行性改变、导管扩张和转移。采用卡方检验、Fisher精确检验、单因素方差分析和ROC分析来评估MRI特征与不同肿瘤分级之间的关系。发现年龄越大、肿瘤TNM分期越高、无激素综合征的患者PNETs分级越高(P < 0.05)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
1.08
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0.00%
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3-8 weeks
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