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肌肉脂肪浸润:基于磁共振(MR)的评估方法及其临床应用的叙述性综述

Muscle fat infiltration: a narrative review of the magnetic resonance (MR)-based evaluation methods and their clinical applications.

作者信息

Assi Ayman, Ramadan Bilal, Karam Mohamad, Rouyer Julien, Mitulescu Anca, Campana Sophie

机构信息

Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.

Olea Medical, La Ciotat, France.

出版信息

Quant Imaging Med Surg. 2024 Dec 5;14(12):9563-9588. doi: 10.21037/qims-24-177. Epub 2024 Aug 20.

Abstract

BACKGROUND AND OBJECTIVE

Muscle fat infiltration (MFI) can be seen in several pathologies of various origin including neuromuscular, endocrinological, or musculoskeletal etiologies. Its evaluation is possible through medical imaging, especially MRI, using qualitative or quantitative methods. This paper is an overview of the techniques used to evaluate MFI in different pathologies.

METHODS

The literature search was performed on the PubMed database for articles published in English between 2010 and end of January 2023. The keywords used were: (Fat infiltration of the muscle) AND magnetic resonance imaging (MRI). In total, 159 articles were included.

KEY CONTENT AND FINDINGS

Qualitative methods of MFI evaluation represented 20% of the studies, with the Goutallier classification being the most used, especially in the setting of rotator cuff tears. Quantitative methods were used in most studies (80%), with the Dixon technique being the most adopted. The evaluation of MFI was used for the assessment of endocrinological, neuromuscular and musculoskeletal disorders. Spinal pathologies, including low back pain and spinal deformities, were the most represented (44% of the studies).

CONCLUSIONS

This review shows the importance of automated MFI calculation using MRI to monitor the progression of diseases, assess the effect of treatments, or predict post-surgical complications such as in the setting of adult spinal deformity. This review also showed the importance of automation of MFI assessment, particularly using the Dixon technique, to make its use easier in clinical settings and open MFI assessment applications to other diseases.

摘要

背景与目的

肌肉脂肪浸润(MFI)可见于多种不同病因的病症,包括神经肌肉、内分泌或肌肉骨骼病因。可通过医学成像,尤其是磁共振成像(MRI),采用定性或定量方法对其进行评估。本文概述了在不同病症中用于评估MFI的技术。

方法

在PubMed数据库中检索2010年至2023年1月底以英文发表的文章。使用的关键词为:(肌肉脂肪浸润)与磁共振成像(MRI)。共纳入159篇文章。

关键内容与发现

MFI评估的定性方法占研究的20%,其中Goutallier分类法使用最为频繁,尤其是在肩袖撕裂的情况下。大多数研究(80%)使用了定量方法,其中Dixon技术采用最多。MFI评估用于内分泌、神经肌肉和肌肉骨骼疾病的评估。脊柱病症,包括腰痛和脊柱畸形,在研究中占比最大(44%)。

结论

本综述表明,使用MRI自动计算MFI对于监测疾病进展、评估治疗效果或预测术后并发症(如在成人脊柱畸形的情况下)具有重要意义。本综述还表明了MFI评估自动化的重要性,特别是使用Dixon技术,以便在临床环境中更易于使用,并将MFI评估应用拓展到其他疾病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/baf4/11651973/a4b475f9c3bd/qims-14-12-9563-f1.jpg

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