{"title":"ALS患者的弥散张量成像生物标志物和临床评估:一项探索性研究","authors":"Saharnaz Pezeshgi, Sadegh Ghaderi, Sana Mohammadi, Narges Karimi, Bentolhoda Ziaadini, Mahdi Mohammadi, Farzad Fatehi","doi":"10.1097/ms9.0000000000002332","DOIUrl":null,"url":null,"abstract":"Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by progressive loss of upper and lower motor neurons. Biomarkers are needed to improve diagnosis, gauge progression, and evaluate treatment. Diffusion tensor imaging (DTI) is a promising biomarker for detecting microstructural alterations in the white matter tracts. This study aimed to assess DTI metrics as biomarkers and to examine their relationship with clinical assessments in patients with ALS. Eleven patients with ALS and 21 healthy controls (HCs) underwent 3T MRI with DTI. DTI metrics, including fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD), were compared between key motor and extramotor tract groups. Group comparisons and correlations between DTI metrics also correlated with clinical scores of disability (ALSFRS-R), muscle strength (dynamometry), and motor unit loss (MUNIX). Widespread differences were found between patients with ALS and HCs in DTI metrics, including decreased FA and increased diffusivity metrics. However, MD and RD are more sensitive metrics for detecting white matter changes in patients with ALS. Significant interhemispheric correlations between the tract DTI metrics were also observed. DTI metrics showed symmetry between the hemispheres and correlated with the clinical assessments. MD, RD, and AD increases significantly correlated with lower ALSFRS-R and MUNIX scores and weaker dynamometry results. DTI reveals microstructural damage along the motor and extramotor regions in ALS patients. DTI metrics can serve as quantitative neuroimaging biomarkers for diagnosis, prognosis, monitoring of progression, and treatment. Combined analysis of imaging, electrodiagnostic, and functional biomarkers shows potential for characterizing disease pathophysiology and progression.","PeriodicalId":503882,"journal":{"name":"Annals of Medicine & Surgery","volume":"97 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Diffusion tensor imaging biomarkers and clinical assessments in ALS patients: An exploratory study\",\"authors\":\"Saharnaz Pezeshgi, Sadegh Ghaderi, Sana Mohammadi, Narges Karimi, Bentolhoda Ziaadini, Mahdi Mohammadi, Farzad Fatehi\",\"doi\":\"10.1097/ms9.0000000000002332\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by progressive loss of upper and lower motor neurons. Biomarkers are needed to improve diagnosis, gauge progression, and evaluate treatment. Diffusion tensor imaging (DTI) is a promising biomarker for detecting microstructural alterations in the white matter tracts. This study aimed to assess DTI metrics as biomarkers and to examine their relationship with clinical assessments in patients with ALS. Eleven patients with ALS and 21 healthy controls (HCs) underwent 3T MRI with DTI. DTI metrics, including fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD), were compared between key motor and extramotor tract groups. Group comparisons and correlations between DTI metrics also correlated with clinical scores of disability (ALSFRS-R), muscle strength (dynamometry), and motor unit loss (MUNIX). Widespread differences were found between patients with ALS and HCs in DTI metrics, including decreased FA and increased diffusivity metrics. However, MD and RD are more sensitive metrics for detecting white matter changes in patients with ALS. Significant interhemispheric correlations between the tract DTI metrics were also observed. DTI metrics showed symmetry between the hemispheres and correlated with the clinical assessments. MD, RD, and AD increases significantly correlated with lower ALSFRS-R and MUNIX scores and weaker dynamometry results. DTI reveals microstructural damage along the motor and extramotor regions in ALS patients. DTI metrics can serve as quantitative neuroimaging biomarkers for diagnosis, prognosis, monitoring of progression, and treatment. Combined analysis of imaging, electrodiagnostic, and functional biomarkers shows potential for characterizing disease pathophysiology and progression.\",\"PeriodicalId\":503882,\"journal\":{\"name\":\"Annals of Medicine & Surgery\",\"volume\":\"97 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Medicine & Surgery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1097/ms9.0000000000002332\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Medicine & Surgery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/ms9.0000000000002332","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
肌萎缩性脊髓侧索硬化症(ALS)是一种神经退行性疾病,其特征是上下运动神经元逐渐丧失。需要生物标志物来改善诊断、判断病情发展和评估治疗效果。弥散张量成像(DTI)是一种很有前景的生物标记物,可用于检测白质束的微结构改变。本研究旨在评估作为生物标志物的 DTI 指标,并检查它们与 ALS 患者临床评估的关系。11 名 ALS 患者和 21 名健康对照组(HCs)接受了带有 DTI 的 3T MRI 检查。在主要运动和运动外束组之间比较了 DTI 指标,包括分数各向异性(FA)、平均扩散率(MD)、径向扩散率(RD)和轴向扩散率(AD)。DTI 指标之间的组间比较和相关性还与残疾临床评分(ALSFRS-R)、肌力(测力法)和运动单位缺失(MUNIX)相关。发现 ALS 患者和 HCs 患者在 DTI 指标上存在广泛差异,包括 FA 指标降低和弥散度指标升高。然而,MD 和 RD 是检测 ALS 患者白质变化更敏感的指标。此外,还观察到各束 DTI 指标之间存在显著的半球间相关性。半球间的 DTI 指标显示出对称性,并与临床评估结果相关。MD、RD和AD的增加与较低的ALSFRS-R和MUNIX评分以及较弱的测力结果明显相关。DTI 揭示了 ALS 患者运动区和运动外区的微结构损伤。DTI 指标可作为定量神经影像生物标志物,用于诊断、预后、病情进展监测和治疗。对成像、电诊断和功能性生物标记物的综合分析显示了描述疾病病理生理学和进展的潜力。
Diffusion tensor imaging biomarkers and clinical assessments in ALS patients: An exploratory study
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by progressive loss of upper and lower motor neurons. Biomarkers are needed to improve diagnosis, gauge progression, and evaluate treatment. Diffusion tensor imaging (DTI) is a promising biomarker for detecting microstructural alterations in the white matter tracts. This study aimed to assess DTI metrics as biomarkers and to examine their relationship with clinical assessments in patients with ALS. Eleven patients with ALS and 21 healthy controls (HCs) underwent 3T MRI with DTI. DTI metrics, including fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD), were compared between key motor and extramotor tract groups. Group comparisons and correlations between DTI metrics also correlated with clinical scores of disability (ALSFRS-R), muscle strength (dynamometry), and motor unit loss (MUNIX). Widespread differences were found between patients with ALS and HCs in DTI metrics, including decreased FA and increased diffusivity metrics. However, MD and RD are more sensitive metrics for detecting white matter changes in patients with ALS. Significant interhemispheric correlations between the tract DTI metrics were also observed. DTI metrics showed symmetry between the hemispheres and correlated with the clinical assessments. MD, RD, and AD increases significantly correlated with lower ALSFRS-R and MUNIX scores and weaker dynamometry results. DTI reveals microstructural damage along the motor and extramotor regions in ALS patients. DTI metrics can serve as quantitative neuroimaging biomarkers for diagnosis, prognosis, monitoring of progression, and treatment. Combined analysis of imaging, electrodiagnostic, and functional biomarkers shows potential for characterizing disease pathophysiology and progression.