3D Radiomic Texture Analysis of Quantitative Muscle MRI Enhances the Distinction Between Myotonic Dystrophy Type 1 and Charcot–Marie-Tooth Neuropathy Type 1A: A Proof-of-Concept Study

IF 4.3 2区 医学 Q1 CLINICAL NEUROLOGY
Louise Iterbeke, Lotte Huysmans, Kobe Bamps, Ronald Peeters, Veerle Goosens, Frederik Maes, Patrick Dupont, Kristl G. Claeys
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引用次数: 0

Abstract

Background

Differentiating myogenic from neurogenic neuromuscular diseases (NMDs) can be clinically challenging. While quantitative muscle MRI (qMRI) with proton density fat fraction (PDFF,%) quantifies fat replacement, it misses micro-spatial patterns linked to underlying pathology. This study investigates whether qMRI with 3D radiomic texture analysis (TA) might improve differentiation between myogenic and neurogenic diseases, using myotonic dystrophy type 1 (DM1) and Charcot–Marie-Tooth neuropathy type 1A (CMT1A) as proof-of-concept models.

Methods

Thirty-three adults with DM1, 33 with CMT1A, and 33 matched healthy controls were included. qMRI on a 3T Philips Achieva system using a 6-point Dixon sequence generated PDFF(%) maps of the lower limbs, and a convolutional neural network performed 3D segmentation of 28 lower limb muscles. We extracted macroscopic features, including muscle volume, asymmetry, and disto-proximal gradients, alongside micro-spatial radiomic features (entropy, contrast, homogeneity) to quantify tissue heterogeneity.

Results

Both patient cohorts exhibited higher PDFF(%) in all lower limb muscles compared to controls (p < 0.001). DM1 predominantly involved the posterior compartment, while CMT1A targeted the anterolateral compartment with significantly steeper disto-proximal fat gradients (p < 0.05). TA revealed higher entropy and contrast, and lower homogeneity in CMT1A compared to DM1, reflecting a more reticular pattern of fat infiltration vs. the confluent pattern in DM1.

Conclusion

In this proof-of-concept study, 3D radiomic texture analysis of PDFF(%) maps revealed distinct spatial patterns of fat replacement in DM1 and CMT1A. Integrating radiomic and conventional qMRI features may enhance the non-invasive distinction between DM1 and CMT1A and warrants further investigation in a broader range of NMDs.

Abstract Image

定量肌肉MRI的三维放射结构分析增强了1型肌强直性营养不良和1A型Charcot-Marie-Tooth神经病变的区别:一项概念验证研究
背景区分肌源性和神经源性神经肌肉疾病(NMDs)在临床上具有挑战性。虽然定量肌肉MRI (qMRI)与质子密度脂肪分数(PDFF,%)量化脂肪替代,但它忽略了与潜在病理相关的微空间模式。本研究使用1型肌强张性营养不良(DM1)和1A型Charcot-Marie-Tooth神经病变(CMT1A)作为概念验证模型,探讨qMRI与3D放射结构分析(TA)是否可以改善肌源性和神经源性疾病的区分。方法选取成年DM1患者33例,CMT1A患者33例,健康对照33例。qMRI在3T Philips Achieva系统上使用6点Dixon序列生成下肢的PDFF(%)图,卷积神经网络对28块下肢肌肉进行3D分割。我们提取了宏观特征,包括肌肉体积、不对称性和远端-近端梯度,以及微观空间放射学特征(熵、对比度、均匀性)来量化组织异质性。结果两组患者的所有下肢肌肉PDFF(%)均高于对照组(p < 0.001)。DM1主要累及后腔室,而CMT1A靶向前外侧腔室,远端至近端脂肪梯度明显更陡(p < 0.05)。与DM1相比,TA显示CMT1A的熵值和对比度更高,均匀性更低,反映了脂肪浸润的网状模式比DM1的融合模式更明显。在这项概念验证研究中,PDFF(%)图的三维放射学结构分析揭示了DM1和CMT1A中脂肪替代的不同空间模式。整合放射学和传统qMRI特征可以增强DM1和CMT1A之间的非侵入性区分,值得在更广泛的nmd中进一步研究。
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来源期刊
European Journal of Neurology
European Journal of Neurology 医学-临床神经学
CiteScore
9.70
自引率
2.00%
发文量
418
审稿时长
1 months
期刊介绍: The European Journal of Neurology is the official journal of the European Academy of Neurology and covers all areas of clinical and basic research in neurology, including pre-clinical research of immediate translational value for new potential treatments. Emphasis is placed on major diseases of large clinical and socio-economic importance (dementia, stroke, epilepsy, headache, multiple sclerosis, movement disorders, and infectious diseases).
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