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扩散加权成像在颅底病变中的作用:图文综述。

Role of diffusion-weighted imaging in skull base lesions: A pictorial review.

作者信息

Soni Neetu, Gupta Nishant, Kumar Yogesh, Mangla Manisha, Mangla Rajiv

机构信息

1 Department of Radiology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India.

2 Department of Radiology, St Vincent's Medical Center, Bridgeport, USA.

出版信息

Neuroradiol J. 2017 Aug;30(4):370-384. doi: 10.1177/1971400917709624. Epub 2017 Jun 20.

DOI:10.1177/1971400917709624
PMID:28631996
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5524278/
Abstract

Skull base lesions can be related to wide number of pathologies including infections, benign and malignant tumors. Accurate diagnosis and differentiation between these entities is important for prompt and appropriate treatment. However, computed tomography and routine magnetic resonance imaging techniques only provide information on the extent of the lesions, with limited ability to differentiate between benign and malignant lesions. Diffusion-weighted imaging can help in many such situations by providing additional information, including help in differentiating benign from malignant lesions, so that appropriate treatment can be initiated. In this review article, we illustrate the imaging findings of the spectrum of skull base lesions, emphasizing the role of diffusion-weighted imaging in this domain.

摘要

颅底病变可与多种病理情况相关,包括感染、良性和恶性肿瘤。准确诊断并区分这些病变对于及时、恰当的治疗很重要。然而,计算机断层扫描和常规磁共振成像技术仅能提供病变范围的信息,区分良性和恶性病变的能力有限。扩散加权成像可通过提供额外信息,在许多此类情况下有所帮助,包括有助于区分良性和恶性病变,从而能够启动适当的治疗。在这篇综述文章中,我们阐述了颅底病变谱的影像学表现,强调了扩散加权成像在该领域的作用。

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本文引用的文献

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2
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Eur Radiol. 2017 Jan;27(1):414-423. doi: 10.1007/s00330-016-4372-9. Epub 2016 May 10.
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MR imaging of skeletal muscle signal alterations: Systematic approach to evaluation.骨骼肌信号改变的磁共振成像:评估的系统方法
Eur J Radiol. 2016 May;85(5):922-35. doi: 10.1016/j.ejrad.2016.02.007. Epub 2016 Feb 8.
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Is PET-CT an accurate method for the differential diagnosis between chondroma and chondrosarcoma?正电子发射断层显像-X线计算机体层成像(PET-CT)是鉴别软骨瘤和软骨肉瘤的准确方法吗?
Springerplus. 2016 Feb 29;5:236. doi: 10.1186/s40064-016-1782-8. eCollection 2016.
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J Comput Assist Tomogr. 2016 May-Jun;40(3):413-8. doi: 10.1097/RCT.0000000000000391.
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