.png){kind=icon}
返回
Imaging chronic active lesions in multiple sclerosis: a consensus statement
.png){kind=icon}
OA
AI
DOI：10.1093/brain/awae013.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Chronic active lesions (CAL) are an important manifestation of chronic inflammation in multiple sclerosis and have implications for non-relapsing biological progression. In recent years, the discovery of innovative MRI and PET-derived biomarkers has made it possible to detect CAL, and to some extent quantify them, in the brain of persons with multiple sclerosis, in vivo.Paramagnetic rim lesions on susceptibility-sensitive MRI sequences, MRI-defined slowly expanding lesions on T1-weighted and T2-weighted scans, and 18-kDa translocator protein-positive lesions on PET are promising candidate biomarkers of CAL. While partially overlapping, these biomarkers do not have equivalent sensitivity and specificity to histopathological CAL. Standardization in the use of available imaging measures for CAL identification, quantification and monitoring is lacking.To fast-forward clinical translation of CAL, the North American Imaging in Multiple Sclerosis Cooperative developed a consensus statement, which provides guidance for the radiological definition and measurement of CAL. The proposed manuscript presents this consensus statement, summarizes the multistep process leading to it, and identifies the remaining major gaps in knowledge. On behalf of the North American Imaging in Multiple Sclerosis (NAIMS) Cooperative, Bagnato et al. present a consensus statement which provides guidance for the radiological definition and measurement of chronic active lesions in people with multiple sclerosis, and which identifies remaining gaps in knowledge.
Keyword:
chronic active lesions
iron
microglia
multiple sclerosis
paramagnetic rim lesions
MRI-defined slowly evolving lesions
期刊
IF:
11.7
论文数:
1.4W
被引数:
6.3W
机构
查看更多机构
引用论文
Current Understanding on Role of the Wnt Signaling Pathway Effector TCF7L2 in Glucose Homeostasis
OAAI
OAAI分享收藏Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE3t MRI多发性硬化皮质和WM病变分割: 基于FLAIR和MP2RAGE的深度学习方法.png)
NEUROIMAGE-CLINICALOAAI
NEUROIMAGE-CLINICALIF3.6
OAAI分享收藏 查看更多内容