Lesion detection, progression, and analysis for patients with multiple sclerosis

Enhance radiology workflows and output identifying, quantifying, and tracking multiple sclerosis lesions. NeuroQuant MS automatically labels and provides change visualization of new, stable, shrinking, enlarging, and other lesion dynamics.

Identify and track evolution of MS lesions over time

Supports clinical impression with objective, volumetric data and color-coded brain structure images that aid diagnosis, treatment and lifestyle planning. Identify lesion dissemination, analyze patterns of distribution, highlight areas of highest burden and track lesions across orthogonal views.

Benefits

Color-coded lesion segmentation

Identify confluent lesions and new lesion load

Track progression over time

Longitudinal reporting monitors structure volumes and visual changes from previous scans – all within a single report.

Change visualization

Color-coded overlay demonstrates lesion dynamics

Normative reference data

Compare the patient’s brain structure volume measurements to a normal population.

Accuracy across all ages

Analyse ages 3-100 using our Dynamic Atlas™ technology, validated over thousands of clinical cases.

NeuroQuant® MS reports

Precise quantitative measurements aid in clinical assessment, treatment planning, and disease progression monitoring.

Related insights

18 November 2023

LesionQuant for assessment of MRI in MS

Study exploring whether utilizing software designed for evaluating MRI data in MS provides more accurate and detailed analyses compared to visual evaluation.

18 November 2023

Clinical relevance of brain volume measures in MS

This article reviews the current understanding of the implications of brain volume changes in MS, including the effects of disease-modifying treatments (DMTs).

18 November 2023

Brain volumetry complements clinical evaluation of MS patients

The motivation of this study was to evaluate a new grouping scheme based on MS patients’ whole brain & thalamus volumes measured on MRI at a single time point.
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