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

NeuroQuant® 5.0 enables precise segmentation and quantification of T2*GRE, SWI, and FLAIR lesions, supporting ARIA-E and ARIA-H surveillance and grading. This advanced functionality facilitates longitudinal tracking of lesion dynamics to assist with the assessment of patients receiving anti-amyloid therapies.

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

AI-Assisted Monitoring for Alzheimer's Disease Patients on Anti-Amyloid Immunotherapies

NeuroQuant 5.0 offers comprehensive FLAIR and 2D T2* GRE/SWI lesion segmentation and quantification, enabling physicians to accurately monitor lesion dynamics—including lesion count, max diameter, and volume—in patients receiving anti-amyloid therapies, which supports informed decision-making and monitoring over time.

Benefits

Cortechs.ai|NeuroQuant ARIA

Lesion quantification

Accurate segmentation and longitudinal tracking of FLAIR and T2*GRE/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 their clinical assessment of ARIA through FLAIR and T2*GRE/SWI lesion quantification, characterizing relevant findings, tracking changes over time, and assisting in ARIA surveillance.

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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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