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膝关节的磁共振成像:传统成像与最新成像技术的概述及更新

Magnetic resonance imaging of the knee: An overview and update of conventional and state of the art imaging.

作者信息

Nacey Nicholas C, Geeslin Matthew G, Miller Grady Wilson, Pierce Jennifer L

机构信息

Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA.

出版信息

J Magn Reson Imaging. 2017 May;45(5):1257-1275. doi: 10.1002/jmri.25620. Epub 2017 Feb 17.

DOI:10.1002/jmri.25620
PMID:28211591
Abstract

UNLABELLED

Magnetic resonance imaging (MRI) has become the preferred modality for imaging the knee to show pathology and guide patient management and treatment. The knee is one of the most frequently injured joints, and knee pain is a pervasive difficulty that can affect all age groups. Due to the diverse pathology, complex anatomy, and a myriad of injury mechanisms of the knee, the MRI knee protocol and sequences should ensure detection of both soft tissue and osseous structures in detail and with accuracy. The knowledge of knee anatomy and the normal or injured MRI appearance of these key structures are critical for precise diagnosis. Advances in MRI technology provide the imaging necessary to obtain high-resolution images to evaluate menisci, ligaments, and tendons. Furthermore, recent advances in MRI techniques allow for improved imaging in the postoperative knee and metal artifact reduction, tumor imaging, cartilage evaluation, and visualization of nerves. As treatment and operative management techniques evolve, understanding the correct application of these advancements in MRI of the knee will prove to be valuable to clinical practice.

LEVEL OF EVIDENCE

5 J. MAGN. RESON. IMAGING 2017;45:1257-1275.

摘要

未标注

磁共振成像(MRI)已成为对膝关节进行成像以显示病变并指导患者管理与治疗的首选方式。膝关节是最常受伤的关节之一,膝关节疼痛是一个普遍存在的问题,可影响所有年龄组。由于膝关节病理多样、解剖结构复杂且损伤机制众多,膝关节MRI检查方案和序列应确保能详细且准确地检测软组织和骨结构。了解膝关节解剖结构以及这些关键结构在MRI上的正常或损伤表现对于精确诊断至关重要。MRI技术的进步提供了获取高分辨率图像以评估半月板、韧带和肌腱所需的成像。此外,MRI技术的最新进展使得术后膝关节成像得到改善,减少了金属伪影,提高了肿瘤成像、软骨评估以及神经可视化水平。随着治疗和手术管理技术的发展,了解这些膝关节MRI进展的正确应用对临床实践将具有重要价值。

证据水平

5 J. MAGN. RESON. IMAGING 2017;45:1257 - 1275.

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