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胰腺神经内分泌肿瘤的影像学表现。

Imaging of Pancreatic Neuroendocrine Neoplasms.

机构信息

Department of Radiology, Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134 Florence, Italy.

The Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy.

出版信息

Int J Environ Res Public Health. 2021 Aug 24;18(17):8895. doi: 10.3390/ijerph18178895.

Abstract

Pancreatic neuroendocrine neoplasms (panNENs) represent the second most common pancreatic tumors. They are a heterogeneous group of neoplasms with varying clinical expression and biological behavior, from indolent to aggressive ones. PanNENs can be functioning or non-functioning in accordance with their ability or not to produce metabolically active hormones. They are histopathologically classified according to the 2017 World Health Organization (WHO) classification system. Although the final diagnosis of neuroendocrine tumor relies on histologic examination of biopsy or surgical specimens, both morphologic and functional imaging are crucial for patient care. Morphologic imaging with ultrasonography (US), computed tomography (CT) and magnetic resonance imaging (MRI) is used for initial evaluation and staging of disease, as well as surveillance and therapy monitoring. Functional imaging techniques with somatostatin receptor scintigraphy (SRS) and positron emission tomography (PET) are used for functional and metabolic assessment that is helpful for therapy management and post-therapeutic re-staging. This article reviews the morphological and functional imaging modalities now available and the imaging features of panNENs. Finally, future imaging challenges, such as radiomics analysis, are illustrated.

摘要

胰腺神经内分泌肿瘤(panNENs)是第二常见的胰腺肿瘤。它们是一组异质性肿瘤,具有不同的临床表型和生物学行为,从惰性到侵袭性不等。根据其产生代谢活性激素的能力,panNENs 可以是功能性的或非功能性的。根据 2017 年世界卫生组织(WHO)分类系统对其进行组织病理学分类。尽管神经内分泌肿瘤的最终诊断依赖于活检或手术标本的组织学检查,但形态学和功能影像学对于患者的治疗都至关重要。超声(US)、计算机断层扫描(CT)和磁共振成像(MRI)等形态学影像学用于疾病的初始评估和分期,以及监测和治疗监测。生长抑素受体闪烁显像(SRS)和正电子发射断层扫描(PET)等功能影像学技术用于功能和代谢评估,有助于治疗管理和治疗后重新分期。本文综述了目前可用的形态学和功能影像学方法以及 panNENs 的影像学特征。最后,还说明了未来的成像挑战,如放射组学分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d322/8430610/5dfc7b048653/ijerph-18-08895-g001.jpg

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