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与胰腺神经内分泌肿瘤相关的遗传综合征及影像学诊断策略。

Genetic syndromes associated with pancreatic neuroendocrine neoplasms and imaging diagnostic strategies.

作者信息

Liu Jiawei, Ling Jian, Li Lujie, Wu Yuxin, Song Chenyu, Shi Siya, Dong Zhi, Wang Jifei, Tang Mimi, Feng Shi-Ting, Luo Yanji, Xu Danyang

机构信息

Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Second Zhongshan Road, Yuexiu District, Guangzhou, Guangdong, 510080, China.

出版信息

Abdom Radiol (NY). 2024 Dec 19. doi: 10.1007/s00261-024-04764-0.

DOI:10.1007/s00261-024-04764-0
PMID:39694946
Abstract

Pancreatic neuroendocrine neoplasms (pNENs) are the second most common pancreatic malignancy. While most cases are sporadic, a small proportion is associated with genetic syndromes, such as Multiple Endocrine Neoplasia (MEN), Von Hippel-Lindau Syndrome (VHL), Neurofibromatosis Type 1 (NF1), and Tuberous Sclerosis Complex (TSC). This review aims to use pNENs as a clue to reveal the full spectrum of disease, providing a comprehensive understanding of diagnosis. It aids in promptly identifying abnormalities in other organs, recognizing familial genetic mutations, and achieving personalized treatment.

摘要

胰腺神经内分泌肿瘤(pNENs)是第二常见的胰腺恶性肿瘤。虽然大多数病例是散发性的,但一小部分与遗传综合征有关,如多发性内分泌腺瘤病(MEN)、冯·希佩尔-林道综合征(VHL)、1型神经纤维瘤病(NF1)和结节性硬化症(TSC)。本综述旨在以pNENs为线索揭示疾病的全貌,提供对诊断的全面理解。它有助于及时发现其他器官的异常,识别家族性基因突变,并实现个性化治疗。

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Ann Endocrinol (Paris). 2024 Apr;85(2):127-135. doi: 10.1016/j.ando.2023.11.005. Epub 2024 Feb 5.
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Machine Learning Methods Based on CT Features Differentiate G1/G2 From G3 Pancreatic Neuroendocrine Tumors.基于 CT 特征的机器学习方法可区分 G1/G2 与 G3 胰腺神经内分泌肿瘤。
Acad Radiol. 2024 May;31(5):1898-1905. doi: 10.1016/j.acra.2023.10.040. Epub 2023 Dec 4.
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Pancreatic imaging in MEN1-comparison of conventional and somatostatin receptor positron emission tomography/computed tomography imaging in real-life setting.
MEN1 相关胰腺影像——在真实环境中对比常规与生长抑素受体正电子发射断层扫描/计算机断层扫描成像。
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