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一种为多发性硬化症临床研究标准化的定量多参数映射协议。

A quantitative multi-parameter mapping protocol standardized for clinical research in multiple sclerosis.

作者信息

Trang Henri, Hartung Tim J, Chen Qianlan, Hetzer Stefan, Chien Claudia, Sperber Pia S, Schmitz-Hübsch Tanja, Asseyer Susanna, Rust Rebekka, Mewes Darius, Anderhalten Lina, Sy Michael, Brandt Alexander U, Finke Carsten, Paul Friedemann

机构信息

Experimental and Clinical Research Center, a Cooperation Between Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Charité - Universitätsmedizin Berlin, Geschäftsführung, Charitéplatz 1, 10117, Berlin, Germany.

Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.

出版信息

Sci Rep. 2024 Dec 16;14(1):30481. doi: 10.1038/s41598-024-80274-9.

Abstract

Quantitative magnetic resonance imaging (qMRI) involves mapping microstructure in standardized units sensitive to histological properties and supplements conventional MRI, which relies on contrast weighted images where intensities have no biophysical meaning. While measuring tissue properties such as myelin, iron or water content is desired in a disease context, qMRI changes may typically reflect mixed influences from aging or pre-clinical degeneration. We used a fast multi-parameter mapping (MPM) protocol for clinical routine at 3T to reconstruct whole-brain quantitative maps of magnetization transfer saturation (MT), proton density (PD), longitudinal (R1), and transverse relaxation rate (R2*) with 1.6 mm isotropic resolution. We report reference MPM values from a healthy population with age and gender distributions typical of multiple sclerosis in whole brain white matter (WM), T2-weighted WM hyperintensities, cortical grey matter and deep grey matter regions and present post-processing optimizations including integration of lesions and normalization of PD maps against cerebrospinal fluid (CSF) for standardized research in multiple sclerosis (MS) and potentially also in related disorders. PD maps were affected by WM abnormalities in MS using WM calibration. The results acknowledge the impact of non-linear age effects on MPM and suggest using CSF calibration for future clinical application in MS.

摘要

定量磁共振成像(qMRI)涉及以对组织学特性敏感的标准化单位绘制微观结构,并补充传统的MRI,传统MRI依赖于对比度加权图像,其中强度没有生物物理意义。虽然在疾病背景下测量诸如髓磷脂、铁或水含量等组织特性是很有必要的,但qMRI的变化通常可能反映衰老或临床前退化的混合影响。我们使用了一种用于3T临床常规检查的快速多参数映射(MPM)协议,以1.6毫米各向同性分辨率重建全脑磁化传递饱和度(MT)、质子密度(PD)、纵向(R1)和横向弛豫率(R2*)的定量图谱。我们报告了来自健康人群的参考MPM值,这些人群的年龄和性别分布在全脑白质(WM)、T2加权WM高信号、皮质灰质和深部灰质区域具有多发性硬化症的典型特征,并展示了后处理优化,包括病变整合以及针对脑脊液(CSF)对PD图谱进行标准化,以用于多发性硬化症(MS)以及可能相关疾病的标准化研究。使用WM校准后,PD图谱在MS中受到WM异常的影响。结果确认了非线性年龄效应对MPM的影响,并建议在MS的未来临床应用中使用CSF校准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9877/11649941/ff3886ed0513/41598_2024_80274_Fig1_HTML.jpg

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本文引用的文献

1
Structural brain changes in patients with post-COVID fatigue: a prospective observational study.
EClinicalMedicine. 2023 Apr;58:101874. doi: 10.1016/j.eclinm.2023.101874. Epub 2023 Feb 27.
3
Postmortem quantitative MRI disentangles histological lesion types in multiple sclerosis.
Brain Pathol. 2023 Nov;33(6):e13136. doi: 10.1111/bpa.13136. Epub 2022 Dec 8.
4
Prediction of high and low disease activity in early MS patients using multiple kernel learning identifies importance of lateral ventricle intensity.
Mult Scler J Exp Transl Clin. 2022 Jul 3;8(3):20552173221109770. doi: 10.1177/20552173221109770. eCollection 2022 Jul-Sep.
5
A New Advanced MRI Biomarker for Remyelinated Lesions in Multiple Sclerosis.
Ann Neurol. 2022 Sep;92(3):486-502. doi: 10.1002/ana.26441. Epub 2022 Jul 13.
6
Restoring statistical validity in group analyses of motion-corrupted MRI data.
Hum Brain Mapp. 2022 Apr 15;43(6):1973-1983. doi: 10.1002/hbm.25767. Epub 2022 Feb 3.
7
Diffusely abnormal white matter in multiple sclerosis.
J Neuroimaging. 2022 Jan;32(1):5-16. doi: 10.1111/jon.12945. Epub 2021 Nov 9.
8
R2* and quantitative susceptibility mapping in deep gray matter of 498 healthy controls from 5 to 90 years.
Hum Brain Mapp. 2021 Oct 1;42(14):4597-4610. doi: 10.1002/hbm.25569. Epub 2021 Jun 29.
9
Multiparametric Quantitative MRI in Neurological Diseases.
Front Neurol. 2021 Mar 8;12:640239. doi: 10.3389/fneur.2021.640239. eCollection 2021.
10
Quantitative Multi-Parameter Mapping Optimized for the Clinical Routine.
Front Neurosci. 2020 Dec 7;14:611194. doi: 10.3389/fnins.2020.611194. eCollection 2020.

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