Association of Spinal Cord Radiomic Features and Disability in Multiple Sclerosis

IF 2.3 4区医学 Q3 CLINICAL NEUROLOGY

Journal of Neuroimaging Pub Date : 2025-09-14 DOI:10.1111/jon.70089

Jeffrey Lambe, Nicolas R. Thompson, Yadi Li, Kunio Nakamura, Daniel Ontaneda

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引用次数: 0

Abstract

Background and Purpose

Spinal cord pathology underpins disability accumulation in people with multiple sclerosis (pwMS). Visual inspection of spinal cord magentic resonance imaging (MRI) often fails to reliably detect injury. Radiomics analyzes signal intensities in images to identify pathological changes that may be imperceptible to the human eye. This study evaluated the application of radiomics to spinal cord MRI to distinguish subgroups of pwMS and disability correlations.

Methods

Radiomic features were extracted from upper cervical cord coverage on cross-sectional 3.0T brain noncontrasted T1-weighted MRI scans in pwMS and healthy controls (HCs). Ninety-three radiomic features—predominantly gray-level matrices—were extracted using Pyradiomics, with pixel heterogeneity considered to reflect neuroaxonal pathology. T2 lesion and brain substructure volumes were segmented from 3D fluid-attenuated inversion recovery and magnetization-prepared rapid gradient-echo sequences using an in-house 2.5D U-Net convolutional neural network to encapsulate neuroinflammation and neurodegeneration. Cervical cross-sectional area (C1−C3) was measured using in-house atlas-based segmentation. Imaging features were compared between pwMS and HCs, and pwMS by phenotype (relapsing vs. progressive), age, and race. Associations of imaging features with Patient-Determined Disease Steps (PDDS) were examined.

Results

Among 2966 pwMS and 41 HCs, we identified radiomic features distinguishing pwMS from HCs, and pwMS by phenotype, age, and race. Radiomic features exhibited stronger correlations with PDDS than conventional MRI measures.

Conclusions

Radiomics identified pathological changes in pwMS in varying stages of the disease course that are undetectable by conventional spinal cord MRI. Radiomics may increase the yield of spinal cord MRI in pwMS and serve as biomarkers predicting disability worsening.

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多发性硬化症脊髓放射学特征与残疾的关系

背景和目的脊髓病理是多发性硬化症（pwMS）患者残疾积累的基础。脊髓核磁共振成像（MRI）视觉检查往往不能可靠地检测损伤。放射组学分析图像中的信号强度，以识别人眼可能难以察觉的病理变化。本研究评估了放射组学在脊髓MRI中的应用，以区分pwMS亚组和残疾相关性。方法对pwMS和健康对照组（hc）进行3.0T脑非对比t1加权MRI横断面扫描，提取上颈髓覆盖的放射学特征。使用Pyradiomics提取了93个放射学特征（主要是灰度矩阵），其中像素异质性被认为反映了神经轴突病理。使用内部2.5D U-Net卷积神经网络封装神经炎症和神经变性，从3D流体衰减反转恢复和磁化制备的快速梯度回波序列中分割T2病变和脑亚结构体积。颈椎横截面积（C1−C3）使用内部基于地图集的分割测量。比较pwMS和hcc的影像学特征，以及pwMS的表型（复发与进展）、年龄和种族。研究了影像学特征与患者确定的疾病步骤（PDDS）之间的关系。结果在2966例pwMS和41例hc中，我们确定了pwMS与hc的放射学特征，以及表型、年龄和种族的pwMS。放射学特征与PDDS的相关性强于常规MRI测量。结论放射组学鉴定了pwMS在病程不同阶段的病理变化，这些变化是常规脊髓MRI无法检测到的。放射组学可能增加脊髓MRI在pwMS中的产量，并作为预测残疾恶化的生物标志物。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Neuroimaging 医学-核医学

CiteScore

4.70

自引率

0.00%

发文量

117

审稿时长

6-12 weeks

期刊介绍： Start reading the Journal of Neuroimaging to learn the latest neurological imaging techniques. The peer-reviewed research is written in a practical clinical context, giving you the information you need on: MRI CT Carotid Ultrasound and TCD SPECT PET Endovascular Surgical Neuroradiology Functional MRI Xenon CT and other new and upcoming neuroscientific modalities.The Journal of Neuroimaging addresses the full spectrum of human nervous system disease, including stroke, neoplasia, degenerating and demyelinating disease, epilepsy, tumors, lesions, infectious disease, cerebral vascular arterial diseases, toxic-metabolic disease, psychoses, dementias, heredo-familial disease, and trauma.Offering original research, review articles, case reports, neuroimaging CPCs, and evaluations of instruments and technology relevant to the nervous system, the Journal of Neuroimaging focuses on useful clinical developments and applications, tested techniques and interpretations, patient care, diagnostics, and therapeutics. Start reading today!