• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

评估多发性硬化症中脑容量损失的生物学和方法学方面。

Assessing Biological and Methodological Aspects of Brain Volume Loss in Multiple Sclerosis.

机构信息

Center of Neuroimmunology Department of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain.

Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio.

出版信息

JAMA Neurol. 2018 Oct 1;75(10):1246-1255. doi: 10.1001/jamaneurol.2018.1596.

DOI:10.1001/jamaneurol.2018.1596
PMID:29971335
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6233851/
Abstract

IMPORTANCE

Before using brain volume loss (BVL) as a marker of therapeutic response in multiple sclerosis (MS), certain biological and methodological issues must be clarified.

OBJECTIVES

To assess the dynamics of BVL as MS progresses and to evaluate the repeatability and exchangeability of BVL estimates with Jacobian Integration (JI) and Functional Magnetic Resonance Imaging of the Brain (FMRIB) Software Library (FSL) (specifically, the Structural Image Evaluation, Using Normalisation, of Atrophy-Cross-Sectional [SIENA-X] tool or FMRIB's Integrated Registration and Segmentation Tool [FIRST]).

DESIGN, SETTING, AND PARTICIPANTS: A cohort of patients who had either clinically isolated syndrome or MS was enrolled from February 2011 through October 2015. All underwent a series of annual magnetic resonance imaging (MRI) scans. Images from 2 cohorts of healthy volunteers were used to evaluate short-term repeatability of the MRI measurements (n = 34) and annual BVL (n = 20). Data analysis occurred from January to May 2017.

MAIN OUTCOMES AND MEASURES

The goodness of fit of different models to the dynamics of BVL throughout the MS disease course was assessed. The short-term test-retest error was used as a measure of JI and FSL repeatability. The correlations (R2) of the changes quantified in the brain using JI and FSL, together with the accuracy of the annual BVL cutoffs to discriminate patients with MS from healthy volunteers, were used to measure compatibility of imaging methods.

RESULTS

A total of 140 patients with clinically isolated syndrome or MS were enrolled, including 95 women (67.9%); the group had a median (interquartile range) age of 40.7 (33.6-48.1) years. Patients underwent 4 MRI scans with a median (interquartile range) interscan period of 364 (351-379) days. The 34 healthy volunteers (of whom 18 [53%] were women; median [IQR] age, 33.5 [26.2-42.5] years) and 20 healthy volunteers (of whom 10 [50%] were women; median [IQR] age, 33.0 [28.7-39.2] years) underwent 2 MRI scans within a median (IQR) of 24.5 (0.0-74.5) days and 384.5 (366.3-407.8) days for the short-term and long-term MRI follow-up, respectively. The BVL rates were higher in the first 5 years after MS onset (R2 = 0.65 for whole-brain volume change and R2 = 0.52 for gray matter volume change) with a direct association with steroids (β = 0.280; P = .02) and an inverse association with age at MS onset, particularly in the first 5 years (β = 0.015; P = .047). The reproducibility of FSL (SIENA) and JI was similar for whole-brain volume loss, while JI gave more precise, less biased estimates for specific brain regions than FSL (SIENA-X and FIRST). The correlation between whole-brain volume loss using JI and FSL was high (R2 = 0.92), but the same correlations were poor for specific brain regions. The area under curve of the whole-brain volume change to discriminate between patients with MS and healthy volunteers was similar, although the thresholds and accuracy index were distinct for JI and FSL.

CONCLUSIONS AND RELEVANCE

The proposed BVL threshold of less than 0.4% per year as a marker of therapeutic efficiency should be reconsidered because of the different dynamics of BVL as MS progresses and because of the limited reproducibility and variability of estimates using different imaging methods.

摘要

重要性

在将脑容量损失(BVL)用作多发性硬化症(MS)治疗反应的标志物之前,必须明确某些生物学和方法学问题。

目的

评估随着 MS 进展,BVL 的动态变化,并评估使用雅可比积分(JI)和大脑功能磁共振成像(FMRIB)软件库(FSL)(具体来说,结构图像评估,使用正常化,萎缩的矢状面[SIENA-X]工具或 FMRIB 的综合注册和分割工具[FIRST])估计 BVL 的可重复性和可交换性。

设计、设置和参与者:从 2011 年 2 月到 2015 年 10 月,招募了一组患有临床孤立综合征或 MS 的患者。所有患者均接受了一系列年度磁共振成像(MRI)扫描。使用来自 2 组健康志愿者的图像来评估 MRI 测量的短期复测误差(n=34)和年度 BVL(n=20)。数据分析于 2017 年 1 月至 5 月进行。

主要结果和措施

评估了不同模型对 MS 病程中 BVL 动态的拟合程度。短期测试-再测试误差被用作 JI 和 FSL 可重复性的度量。使用 JI 和 FSL 量化的大脑变化的相关性(R2),以及每年 BVL 截止值来区分 MS 患者和健康志愿者的准确性,用于测量成像方法的兼容性。

结果

共纳入 140 名患有临床孤立综合征或 MS 的患者,包括 95 名女性(67.9%);该组的中位(四分位间距)年龄为 40.7(33.6-48.1)岁。患者接受了 4 次 MRI 扫描,中位(四分位间距)扫描间隔为 364(351-379)天。34 名健康志愿者(其中 18 名[53%]为女性;中位[IQR]年龄,33.5[26.2-42.5]岁)和 20 名健康志愿者(其中 10 名[50%]为女性;中位[IQR]年龄,33.0[28.7-39.2]岁)在中位(IQR)24.5(0.0-74.5)天和 384.5(366.3-407.8)天内分别进行了 2 次 MRI 扫描,用于短期和长期 MRI 随访。在 MS 发病后的前 5 年内,BVL 率较高(全脑容积变化的 R2为 0.65,灰质容积变化的 R2为 0.52),与类固醇呈直接相关(β=0.280;P=0.02),与发病年龄呈负相关,尤其是在发病后的前 5 年内(β=0.015;P=0.047)。FSL(SIENA)和 JI 的重复性对于全脑容积损失相似,而 JI 对特定脑区的估计更精确、偏差更小,而 FSL(SIENA-X 和 FIRST)则不然。使用 JI 和 FSL 测量的全脑容积损失之间的相关性很高(R2=0.92),但对于特定脑区的相关性较差。区分 MS 患者和健康志愿者的全脑容积变化的曲线下面积相似,尽管 JI 和 FSL 的阈值和准确性指数不同。

结论和相关性

由于 MS 进展过程中 BVL 的动态变化以及使用不同成像方法估计的可重复性和可变性有限,建议重新考虑将每年 BVL 减少 0.4%作为治疗效果的标志物。

相似文献

1
Assessing Biological and Methodological Aspects of Brain Volume Loss in Multiple Sclerosis.评估多发性硬化症中脑容量损失的生物学和方法学方面。
JAMA Neurol. 2018 Oct 1;75(10):1246-1255. doi: 10.1001/jamaneurol.2018.1596.
2
Age-dependent cut-offs for pathological deep gray matter and thalamic volume loss using Jacobian integration.基于雅可比积分的病理性深部灰质和丘脑体积损失的年龄依赖性截断值。
Neuroimage Clin. 2020;28:102478. doi: 10.1016/j.nicl.2020.102478. Epub 2020 Oct 27.
3
Estimates of age-dependent cutoffs for pathological brain volume loss using SIENA/FSL-a longitudinal brain volumetry study in healthy adults.使用 SIENA/FSL 对健康成年人进行的纵向脑容积研究估计病理性脑容积丢失的年龄依赖性截断值。
Neurobiol Aging. 2018 May;65:1-6. doi: 10.1016/j.neurobiolaging.2017.12.024. Epub 2017 Dec 30.
4
Within-patient fluctuation of brain volume estimates from short-term repeated MRI measurements using SIENA/FSL.利用 SIENA/FSL 进行短期重复 MRI 测量时脑容量估计的个体内波动。
J Neurol. 2018 May;265(5):1158-1165. doi: 10.1007/s00415-018-8825-8. Epub 2018 Mar 16.
5
SIENA-XL for improving the assessment of gray and white matter volume changes on brain MRI.SIENA-XL 可改善脑 MRI 上灰质和白质体积变化的评估。
Hum Brain Mapp. 2018 Mar;39(3):1063-1077. doi: 10.1002/hbm.23828. Epub 2017 Dec 8.
6
The Role of High-Frequency MRI Monitoring in the Detection of Brain Atrophy in Multiple Sclerosis.高频磁共振监测在多发性硬化症脑萎缩检测中的作用。
J Neuroimaging. 2018 May;28(3):328-337. doi: 10.1111/jon.12505. Epub 2018 Feb 27.
7
Repeatability and reproducibility of FreeSurfer, FSL-SIENAX and SPM brain volumetric measurements and the effect of lesion filling in multiple sclerosis.FreeSurfer、FSL-SIENAX 和 SPM 脑容量测量的可重复性和再现性,以及多发性硬化症中病变填充的影响。
Eur Radiol. 2019 Mar;29(3):1355-1364. doi: 10.1007/s00330-018-5710-x. Epub 2018 Sep 21.
8
Brain volume change after high-dose immunosuppression and autologous hematopoietic cell transplantation for relapsing-remitting multiple sclerosis.大剂量免疫抑制和自体造血细胞移植治疗复发性缓解型多发性硬化后脑容量变化。
Mult Scler Relat Disord. 2021 Sep;54:103149. doi: 10.1016/j.msard.2021.103149. Epub 2021 Jul 12.
9
Measurement of Whole-Brain and Gray Matter Atrophy in Multiple Sclerosis: Assessment with MR Imaging.磁共振成像评估多发性硬化症全脑和灰质萎缩的测量。
Radiology. 2018 Aug;288(2):554-564. doi: 10.1148/radiol.2018172468. Epub 2018 May 1.
10
A Novel Semiautomated Pipeline to Measure Brain Atrophy and Lesion Burden in Multiple Sclerosis: A Long-Term Comparative Study.一种用于测量多发性硬化症脑萎缩和病变负荷的新型半自动流程:一项长期比较研究。
J Neuroimaging. 2017 Nov;27(6):620-629. doi: 10.1111/jon.12445. Epub 2017 May 2.

引用本文的文献

1
A systematic literature review of the association between global brain atrophy and the Expanded Disability Status Scale score in people with multiple sclerosis.一项关于全球脑萎缩与多发性硬化症患者扩展残疾状态量表评分之间关联的系统文献综述。
Ther Adv Neurol Disord. 2025 Jul 18;18:17562864241303681. doi: 10.1177/17562864241303681. eCollection 2025.
2
Biomarkers of Progression Independent of Relapse Activity-Can We Actually Measure It Yet?独立于复发活动的疾病进展生物标志物——我们真的能够对其进行测量了吗?
Int J Mol Sci. 2025 May 14;26(10):4704. doi: 10.3390/ijms26104704.
3
Retinal thinning differentiates treatment effects in relapsing multiple sclerosis below the clinical threshold.视网膜变薄可区分复发型多发性硬化症低于临床阈值的治疗效果。
Ann Clin Transl Neurol. 2025 Feb;12(2):345-354. doi: 10.1002/acn3.52279. Epub 2024 Dec 16.
4
Patients with relapsing-remitting multiple sclerosis show accelerated whole brain volume and thalamic volume loss early in disease.复发缓解型多发性硬化症患者在疾病早期会出现全脑体积和丘脑体积加速丢失的情况。
Neuroradiology. 2025 Jan;67(1):99-107. doi: 10.1007/s00234-024-03516-7. Epub 2024 Nov 28.
5
Retinal Damage and Visual Network Reconfiguration Defines Visual Function Recovery in Optic Neuritis.视网膜损伤和视觉网络重构定义了视神经炎中的视觉功能恢复。
Neurol Neuroimmunol Neuroinflamm. 2024 Nov;11(6):e200288. doi: 10.1212/NXI.0000000000200288. Epub 2024 Aug 30.
6
Brain volume loss in Japanese patients with multiple sclerosis is present in the early to middle stage of the disease.日本多发性硬化症患者的脑容量损失出现在疾病的早期至中期。
Heliyon. 2024 Mar 18;10(6):e28136. doi: 10.1016/j.heliyon.2024.e28136. eCollection 2024 Mar 30.
7
Identification and management of subclinical disease activity in early multiple sclerosis: a review.早期多发性硬化症亚临床疾病活动的识别与管理:综述。
J Neurol. 2024 Apr;271(4):1497-1514. doi: 10.1007/s00415-023-12021-5. Epub 2023 Oct 21.
8
Effect of ibudilast on thalamic magnetization transfer ratio and volume in progressive multiple sclerosis.伊布地特对进展性多发性硬化症丘脑磁化传递率和体积的影响。
Mult Scler. 2023 Sep;29(10):1257-1265. doi: 10.1177/13524585231187289. Epub 2023 Aug 3.
9
Association of NEDA-4 With No Long-term Disability Progression in Multiple Sclerosis and Comparison With NEDA-3: A Systematic Review and Meta-analysis.NEDA-4 与多发性硬化症无长期残疾进展的关联及其与 NEDA-3 的比较:系统评价和荟萃分析。
Neurol Neuroimmunol Neuroinflamm. 2022 Oct 12;9(6). doi: 10.1212/NXI.0000000000200032. Print 2022 Nov.
10
Deformation-based morphometry identifies deep brain structures protected by ocrelizumab.基于形变的形态计量学可识别奥瑞珠单抗保护的深部脑结构。
Neuroimage Clin. 2022;34:102959. doi: 10.1016/j.nicl.2022.102959. Epub 2022 Feb 14.

本文引用的文献

1
SIENA-XL for improving the assessment of gray and white matter volume changes on brain MRI.SIENA-XL 可改善脑 MRI 上灰质和白质体积变化的评估。
Hum Brain Mapp. 2018 Mar;39(3):1063-1077. doi: 10.1002/hbm.23828. Epub 2017 Dec 8.
2
Validating the use of brain volume cutoffs to identify clinically relevant atrophy in RRMS.验证脑容量截断值在 RRMS 中识别临床相关萎缩的有效性。
Mult Scler. 2019 Feb;25(2):217-223. doi: 10.1177/1352458517743804. Epub 2017 Nov 20.
3
Quantifying brain volumes for Multiple Sclerosis patients follow-up in clinical practice - comparison of 1.5 and 3 Tesla magnetic resonance imaging.在临床实践中对多发性硬化症患者进行随访时量化脑容量——1.5特斯拉和3特斯拉磁共振成像的比较
Brain Behav. 2016 Jan 12;6(2):e00422. doi: 10.1002/brb3.422. eCollection 2016 Feb.
4
Retinal thickness measured with optical coherence tomography and risk of disability worsening in multiple sclerosis: a cohort study.光学相干断层扫描测量的视网膜厚度与多发性硬化症残疾恶化风险:一项队列研究。
Lancet Neurol. 2016 May;15(6):574-84. doi: 10.1016/S1474-4422(16)00068-5. Epub 2016 Mar 18.
5
Optimizing treatment success in multiple sclerosis.优化多发性硬化症的治疗效果。
J Neurol. 2016 Jun;263(6):1053-65. doi: 10.1007/s00415-015-7986-y. Epub 2015 Dec 24.
6
Inclusion of brain volume loss in a revised measure of 'no evidence of disease activity' (NEDA-4) in relapsing-remitting multiple sclerosis.在复发缓解型多发性硬化症的“无疾病活动证据”(NEDA-4)修订指标中纳入脑容量损失。
Mult Scler. 2016 Sep;22(10):1297-305. doi: 10.1177/1352458515616701. Epub 2015 Nov 19.
7
Effect of intramuscular interferon beta-1a on gray matter atrophy in relapsing-remitting multiple sclerosis: A retrospective analysis.肌内注射干扰素β-1a 对复发缓解型多发性硬化症脑灰质萎缩的影响:一项回顾性分析。
Mult Scler. 2016 Apr;22(5):668-76. doi: 10.1177/1352458515599072. Epub 2015 Aug 3.
8
Is it time to target no evident disease activity (NEDA) in multiple sclerosis?是时候将目标设定为多发性硬化症的无明显疾病活动(NEDA)了吗?
Mult Scler Relat Disord. 2015 Jul;4(4):329-33. doi: 10.1016/j.msard.2015.04.006. Epub 2015 May 8.
9
Establishing pathological cut-offs of brain atrophy rates in multiple sclerosis.确定多发性硬化症脑萎缩率的病理临界值。
J Neurol Neurosurg Psychiatry. 2016 Jan;87(1):93-9. doi: 10.1136/jnnp-2014-309903. Epub 2015 Apr 22.
10
The effect of disease modifying therapies on brain atrophy in patients with relapsing-remitting multiple sclerosis: a systematic review and meta-analysis.疾病修饰疗法对复发缓解型多发性硬化症患者脑萎缩的影响:一项系统评价和荟萃分析。
PLoS One. 2015 Mar 10;10(3):e0116511. doi: 10.1371/journal.pone.0116511. eCollection 2015.