Suppr超能文献

强度比提高多发性硬化症中的黑洞评估。

Intensity ratio to improve black hole assessment in multiple sclerosis.

机构信息

Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.

Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.

出版信息

Mult Scler Relat Disord. 2018 Jan;19:140-147. doi: 10.1016/j.msard.2017.11.020. Epub 2017 Dec 2.

Abstract

BACKGROUND

Improved imaging methods are critical to assess neurodegeneration and remyelination in multiple sclerosis. Chronic hypointensities observed on T1-weighted brain MRI, "persistent black holes," reflect severe focal tissue damage. Present measures consist of determining persistent black holes numbers and volumes, but do not quantitate severity of individual lesions.

OBJECTIVE

Develop a method to differentiate black and gray holes and estimate the severity of individual multiple sclerosis lesions using standard magnetic resonance imaging.

METHODS

38 multiple sclerosis patients contributed images. Intensities of lesions on T1-weighted scans were assessed relative to cerebrospinal fluid intensity using commercial software. Magnetization transfer imaging, diffusion tensor imaging and clinical testing were performed to assess associations with T1w intensity-based measures.

RESULTS

Intensity-based assessments of T1w hypointensities were reproducible and achieved > 90% concordance with expert rater determinations of "black" and "gray" holes. Intensity ratio values correlated with magnetization transfer ratios (R = 0.473) and diffusion tensor imaging metrics (R values ranging from 0.283 to -0.531) that have been associated with demyelination and axon loss. Intensity ratio values incorporated into T1w hypointensity volumes correlated with clinical measures of cognition.

CONCLUSIONS

This method of determining the degree of hypointensity within multiple sclerosis lesions can add information to conventional imaging.

摘要

背景

改进的成像方法对于评估多发性硬化症中的神经退行性变和髓鞘再生至关重要。T1 加权脑 MRI 上观察到的慢性低信号,“持续黑洞”,反映了严重的局部组织损伤。目前的测量方法包括确定持续黑洞的数量和体积,但不能定量评估单个病变的严重程度。

目的

开发一种方法来区分黑孔和灰孔,并使用标准磁共振成像估计多发性硬化症病变的严重程度。

方法

38 例多发性硬化症患者提供图像。使用商业软件,评估 T1 加权扫描中病变的强度相对于脑脊液强度。进行磁化传递成像、弥散张量成像和临床测试,以评估与 T1w 基于强度的测量的相关性。

结果

T1w 低信号的基于强度的评估具有可重复性,与专家评估者对“黑”孔和“灰”孔的判断具有 > 90%的一致性。强度比与磁化传递比(R = 0.473)和弥散张量成像指标(R 值范围为 0.283 至-0.531)相关,这些指标与脱髓鞘和轴突丢失有关。纳入 T1w 低信号强度体积的强度比与认知的临床测量相关。

结论

这种确定多发性硬化症病变内低信号程度的方法可以为常规成像增加信息。

相似文献

1
Intensity ratio to improve black hole assessment in multiple sclerosis.
Mult Scler Relat Disord. 2018 Jan;19:140-147. doi: 10.1016/j.msard.2017.11.020. Epub 2017 Dec 2.
2
Automated separation of diffusely abnormal white matter from focal white matter lesions on MRI in multiple sclerosis.
Neuroimage. 2020 Jun;213:116690. doi: 10.1016/j.neuroimage.2020.116690. Epub 2020 Feb 29.
3
Differentiation and quantification of inflammation, demyelination and axon injury or loss in multiple sclerosis.
Brain. 2015 May;138(Pt 5):1223-38. doi: 10.1093/brain/awv046. Epub 2015 Feb 26.
4
Deep learning with diffusion basis spectrum imaging for classification of multiple sclerosis lesions.
Ann Clin Transl Neurol. 2020 May;7(5):695-706. doi: 10.1002/acn3.51037. Epub 2020 Apr 18.
5
Normalization of white matter intensity on T1-weighted images of patients with acquired central nervous system demyelination.
J Neuroimaging. 2015 Mar-Apr;25(2):184-190. doi: 10.1111/jon.12129. Epub 2014 Jun 19.
7
Chronic T2 Lesions in Multiple Sclerosis are Heterogeneous Regarding Phase MR Imaging.
Clin Neuroradiol. 2016 Dec;26(4):457-464. doi: 10.1007/s00062-015-0389-8. Epub 2015 Apr 18.
10
PREVAIL: Predicting Recovery through Estimation and Visualization of Active and Incident Lesions.
Neuroimage Clin. 2016 Aug 2;12:293-9. doi: 10.1016/j.nicl.2016.07.015. eCollection 2016.

引用本文的文献

1
Quantitative magnetization transfer imaging in relapsing-remitting multiple sclerosis: a systematic review and meta-analysis.
Brain Commun. 2022 Apr 4;4(2):fcac088. doi: 10.1093/braincomms/fcac088. eCollection 2022.
2
Evolution of acute "black hole" lesions in patients with relapsing-remitting multiple sclerosis.
Acta Neurol Belg. 2023 Jun;123(3):831-838. doi: 10.1007/s13760-022-01938-9. Epub 2022 Apr 9.
4
Two Classes of T1 Hypointense Lesions in Multiple Sclerosis With Different Clinical Relevance.
Front Neurol. 2021 Mar 3;12:619135. doi: 10.3389/fneur.2021.619135. eCollection 2021.
5
Deep learning with diffusion basis spectrum imaging for classification of multiple sclerosis lesions.
Ann Clin Transl Neurol. 2020 May;7(5):695-706. doi: 10.1002/acn3.51037. Epub 2020 Apr 18.

本文引用的文献

1
T1- Thresholds in Black Holes Increase Clinical-Radiological Correlation in Multiple Sclerosis Patients.
PLoS One. 2015 Dec 11;10(12):e0144693. doi: 10.1371/journal.pone.0144693. eCollection 2015.
2
Nonconventional MRI and microstructural cerebral changes in multiple sclerosis.
Nat Rev Neurol. 2015 Dec;11(12):676-86. doi: 10.1038/nrneurol.2015.194. Epub 2015 Nov 3.
3
Differentiation and quantification of inflammation, demyelination and axon injury or loss in multiple sclerosis.
Brain. 2015 May;138(Pt 5):1223-38. doi: 10.1093/brain/awv046. Epub 2015 Feb 26.
4
MP2RAGE provides new clinically-compatible correlates of mild cognitive deficits in relapsing-remitting multiple sclerosis.
J Neurol. 2014 Aug;261(8):1606-13. doi: 10.1007/s00415-014-7398-4. Epub 2014 Jun 10.
5
Relevance of hypointense brain MRI lesions for long-term worsening of clinical disability in relapsing multiple sclerosis.
Mult Scler. 2014 Feb;20(2):214-9. doi: 10.1177/1352458513494490. Epub 2013 Jul 22.
6
Spinal cord tract diffusion tensor imaging reveals disability substrate in demyelinating disease.
Neurology. 2013 Jun 11;80(24):2201-9. doi: 10.1212/WNL.0b013e318296e8f1. Epub 2013 May 10.
7
MRI measures of neuroprotection and repair in multiple sclerosis.
J Neurol Sci. 2011 Dec;311 Suppl 1:S16-23. doi: 10.1016/S0022-510X(11)70004-1.
8
Is the magnetization transfer ratio a marker for myelin in multiple sclerosis?
J Magn Reson Imaging. 2011 Mar;33(3):713-8. doi: 10.1002/jmri.22441. Epub 2011 Feb 1.
9
The impact of intensity variations in T1-hypointense lesions on clinical correlations in multiple sclerosis.
Mult Scler. 2011 Aug;17(8):949-57. doi: 10.1177/1352458511402113. Epub 2011 Apr 18.
10
Increased diffusivity in acute multiple sclerosis lesions predicts risk of black hole.
Neurology. 2010 May 25;74(21):1694-701. doi: 10.1212/WNL.0b013e3181e042c4.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验