Automated quantification, visualization, and longitudinal tracking of brain lesions to support ARIA surveillance

NeuroQuant® v5 offers precise segmentation, quantification, and longitudinal tracking of both FLAIR and T2*GRE/SWI lesions. This advanced functionality offers assistance with the surveillance of amyloid-related imaging abnormalities, such as ARIA-E and ARIA-H, in patients receiving anti-amyloid therapies.

Cortechs.ai|NeuroQuant ARIA
Cortechs.ai|NeuroQuant ARIA
Cortechs.ai|NeuroQuant ARIA

A Complete Solution for Quantitative Lesion Tracking

NeuroQuant® v5 is the only clinically validated solution that detects and quantifies cerebral microbleeds and superficial siderosis on both T2*GRE and SWI scans. Coupled with FLAIR lesion quantification of cerebral edema, NeuroQuant® v5 offers a complete solution for AI-assisted monitoring of Alzheimer’s Disease patients on anti-amyloid immunotherapies.

Benefits

Cortechs.ai|NeuroQuant ARIA

Lesion quantification

Accurate segmentation and longitudinal tracking of FLAIR, T2*GRE, and SWI lesions

Cortechs.ai|NeuroQuant ARIA

OEM protocol standardization

To ensure reproducible outcomes and accuracy over time

Cortechs.ai|NeuroQuant ARIA

Longitudinal disease tracking

Monitor lesion counts and maximum diameters over time, with comparisons to baseline and prior timepoints

NeuroQuant® ARIA reports

Reports that provide quantitative insights to support physicians in tracking FLAIR and T2*GRE/SWI lesions over time compared with a baseline study.

Related insights

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Evaluating ARIA in the treatment of Alzheimer’s disease with neuroimaging AI

Read to explore the exciting advancements in AI neuroimaging detection techniques and their profound implications for ARIA research.

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Mild cognitive impairment: improving predictive prognosis

Published in Radiology, this study assesses whether volumetric magnetic resonance (MR) imaging measures provide predictive prognostic information.

11/18/2023

Neuroimaging in the evaluation of memory impairment

Authors Rahul Desikan et al from UCSD and UCSF describe a strategy to incorporate newly available imaging markers in the workup of memory problems
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