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眼眶炎症的CT和MR成像

CT and MR imaging of orbital inflammation.

作者信息

Ferreira Teresa A, Saraiva P, Genders S W, Buchem M V, Luyten G P M, Beenakker J-W

机构信息

Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.

Department of Radiology, Hospital da Luz, Estrada Nacional 10, km 37, 2900-722, Setubal, Portugal.

出版信息

Neuroradiology. 2018 Dec;60(12):1253-1266. doi: 10.1007/s00234-018-2103-4. Epub 2018 Oct 11.

Abstract

PURPOSE

Orbital inflammation can be idiopathic or in the context of a specific disease and it can involve different anatomical orbital structures. On imaging, inflammatory disease is frequently mistaken for infection and malignant tumors, and its underlying cause is often not determined. Through this article we aim to improve orbital inflammation diagnosis and underlying inflammatory diseases recognition.

METHODS

The imaging protocols and characteristics of orbital inflammation were reviewed.

RESULTS

A decision tree for the evaluation of these patients is provided. First, a combination of clinical and radiological clues is used to recognize inflammation, in particular to differentiate it both from orbital infection and tumor. Subsequently, different radiological patterns are recognized, often allowing the differentiation of the several orbital inflammatory diseases.

CONCLUSION

The use of adequate imaging protocols and subsequent evaluation allow the recognition of an orbital lesion as inflammatory and the diagnosis of the underlying inflammatory disease. All in all, a proper treatment can be established, and at times, a biopsy can be avoided.

摘要

目的

眼眶炎症可为特发性,或发生于特定疾病背景下,可累及眼眶不同解剖结构。在影像学上,炎症性疾病常被误诊为感染和恶性肿瘤,其潜在病因往往难以确定。通过本文,我们旨在提高眼眶炎症的诊断及对潜在炎症性疾病的认识。

方法

回顾眼眶炎症的影像学检查方案及特征。

结果

提供了评估这些患者的决策树。首先,结合临床和影像学线索来识别炎症,特别是将其与眼眶感染和肿瘤相鉴别。随后,识别不同的影像学表现,这通常有助于鉴别多种眼眶炎症性疾病。

结论

采用适当的影像学检查方案并进行后续评估,有助于将眼眶病变识别为炎症性病变,并诊断潜在的炎症性疾病。总而言之,可以制定适当的治疗方案,有时还可避免活检。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e719/6244997/1afc29741489/234_2018_2103_Fig1_HTML.jpg

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