Article

Disease-modifying therapies for T1 hypointense lesions (Black Holes) volume in patients with multiple sclerosis: Protocol for a systematic review and meta-analysis

2021-06-27

Abstract excerpt

<h4>Rationale</h4> A major part of diagnosis and follow-up in patients with multiple sclerosis is based on MRI evaluations. As T1-hypointense lesions represent neural destruction or axonal loss and anticipate irreversible disability in the patients, evaluation of the effects of Disease-modifying therapies (DMTs) on the volume of black holes seems necessary. <h4>Objectives</h4> To evaluate the effects of FDA approv...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 62feb3df-9458-56f5-b8c3-28ef3da400d3
DOI: 10.1101/2021.06.25.21259388

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Disease-modifying therapies for T1 hypointense lesions (Black Holes) volume in patients with multiple sclerosis: Protocol for a systematic review and meta-analysisDOI 10.1101/2021.06.25.21259388Read

Deep grey matter volume loss drives disability worsening in multiple sclerosisSemantic proximity Read

Brain volume loss in relapsing multiple sclerosis: Indirect treatment comparisons of available disease-modifying therapiesSemantic proximity Read

Standard Model Imaging for Discriminating Multiple Sclerosis Lesion Types: A Lesion-Focused Analysis Compared with Diffusion Tensor ImagingSemantic proximity Read

MPRAGE-derived quantitative T <sub>1</sub> mapping to assess diffuse white matter alterations in multiple sclerosisSemantic proximity Read

Racial and ethnic differences in white matter hypointensities: The role of vascular risk factorsSemantic proximity Read

Interval reduction in MRI lesion burden in relapsing-remitting multiple sclerosis following an integrative alternative medicine regimen: a case reportSemantic proximity Read

Neuronal damage in T1-hypointense multiple sclerosis lesions demonstrated in vivo using proton magnetic resonance spectroscopySemantic proximity Read

Brain age gap correlates with DTI-derived microstructural abnormalities in multiple sclerosisSemantic proximity Read

Defining multiple sclerosis subtypes using machine learningSemantic proximity Read

White Matter Volume and Microstructural Integrity Are Associated with Fatigue in Relapsing Multiple SclerosisSemantic proximity Read

Altered T1w/T2w-FLAIR Ratio in White Matter Hyperintensities as an Indicator of Structural Integrity Loss: Association with Alzheimer’s Disease and Vascular DementiaSemantic proximity Read

Normative Modelling of Brain Volume for Diagnostic and Prognostic Stratification in Multiple SclerosisSemantic proximity Read