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基于肌肉磁共振成像的算法,用于区分表现为脊柱僵硬的遗传性肌病。

Muscular MRI-based algorithm to differentiate inherited myopathies presenting with spinal rigidity.

机构信息

Assistance Publique des Hôpitaux de Paris (AP-HP), Service d'Imagerie Médicale, Pôle Neuro-locomoteur, Hôpital Raymond Poincaré, Garches, Hôpitaux Universitaires Paris-Ile-de-France Ouest, Garches, France.

Pôle Pédiatrie, Hôpital Raymond Poincaré, Garches, France - Centre de Référence Maladies Neuromusculaires GNMH, FILNEMUS, Garches, France.

出版信息

Eur Radiol. 2018 Dec;28(12):5293-5303. doi: 10.1007/s00330-018-5472-5. Epub 2018 May 25.

Abstract

OBJECTIVES

Inherited myopathies are major causes of muscle atrophy and are often characterized by rigid spine syndrome, a clinical feature designating patients with early spinal contractures. We aim to present a decision algorithm based on muscular whole body magnetic resonance imaging (mWB-MRI) as a unique tool to orientate the diagnosis of each inherited myopathy long before the genetically confirmed diagnosis.

METHODS

This multicentre retrospective study enrolled 79 patients from referral centres in France, Brazil and Chile. The patients underwent 1.5-T or 3-T mWB-MRI. The protocol comprised STIR and T1 sequences in axial and coronal planes, from head to toe. All images were analyzed manually by multiple raters. Fatty muscle replacement was evaluated on mWB-MRI using both the Mercuri scale and statistical comparison based on the percentage of affected muscle.

RESULTS

Between February 2005 and December 2015, 76 patients with genetically confirmed inherited myopathy were included. They were affected by Pompe disease or harbored mutations in RYR1, Collagen VI, LMNA, SEPN1, LAMA2 and MYH7 genes. Each myopathy had a specific pattern of affected muscles recognizable on mWB-MRI. This allowed us to create a novel decision algorithm for patients with rigid spine syndrome by segregating these signs. This algorithm was validated by five external evaluators on a cohort of seven patients with a diagnostic accuracy of 94.3% compared with the genetic diagnosis.

CONCLUSION

We provide a novel decision algorithm based on muscle fat replacement graded on mWB-MRI that allows diagnosis and differentiation of inherited myopathies presenting with spinal rigidity.

KEY POINTS

• Inherited myopathies are rare, diagnosis is challenging and genetic tests require specialized centres and often take years. • Inherited myopathies are often characterized by spinal rigidity. • Whole body magnetic resonance imaging is a unique tool to orientate the diagnosis of each inherited myopathy presenting with spinal rigidity. • Each inherited myopathy in this study has a specific pattern of affected muscles that orientate diagnosis. • A novel MRI-based algorithm, usable by every radiologist, can help the early diagnosis of these myopathies.

摘要

目的

遗传性肌肉疾病是肌肉萎缩的主要原因,常伴有硬性脊柱综合征,这是一种临床特征,用于指定早期脊柱挛缩的患者。我们旨在提出一种基于肌肉全身磁共振成像(mWB-MRI)的决策算法,作为一种独特的工具,在遗传性肌肉疾病得到基因确诊之前,为每个疾病的诊断提供指导。

方法

这项多中心回顾性研究纳入了来自法国、巴西和智利转诊中心的 79 名患者。患者接受了 1.5-T 或 3-T mWB-MRI 检查。该方案包括头部到足部的矢状面和冠状面的 STIR 和 T1 序列。所有图像均由多名评估者手动分析。通过 Mercuri 量表和基于受累肌肉百分比的统计比较,在 mWB-MRI 上评估肌肉脂肪替代情况。

结果

2005 年 2 月至 2015 年 12 月,我们纳入了 76 名遗传性肌肉疾病基因确诊的患者。他们患有庞贝病,或携带 RYR1、Collagen VI、LMNA、SEPN1、LAMA2 和 MYH7 基因突变。每种肌肉疾病在 mWB-MRI 上都有特定的受累肌肉模式,这使得我们能够通过分离这些特征为硬性脊柱综合征患者创建一种新的决策算法。该算法由五名外部评估者在一组 7 名患者中进行验证,与基因诊断相比,其诊断准确性为 94.3%。

结论

我们提供了一种基于肌肉脂肪替代分级的 mWB-MRI 新决策算法,该算法可用于诊断和区分表现为脊柱僵硬的遗传性肌肉疾病。

关键点

  • 遗传性肌肉疾病罕见,诊断具有挑战性,基因检测需要专门的中心,且通常需要数年时间。

  • 遗传性肌肉疾病常伴有脊柱僵硬。

  • 全身磁共振成像(mWB-MRI)是一种独特的工具,可用于指导表现为脊柱僵硬的遗传性肌肉疾病的诊断。

  • 本研究中的每种遗传性肌肉疾病都有特定的受累肌肉模式,有助于诊断。

  • 一种新的基于 MRI 的算法,可供每位放射科医生使用,有助于这些肌肉疾病的早期诊断。

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