NeuroQuant MS

Cortechs.ai

NeuorQuant MS is an automated imaging software aimed at assisting physicians in their clinical evaluation process, treatment planning, and monitoring of neurodegenerative diseases by combining T2 FLAIR with 3D T1 scans for lesion and structure quantification. It automatically segments, counts, and visualizes lesions, and quantifies lesion volume changes and brain volume changes.

Information source: Vendor
Last updated: May 7, 2021

General Information

General
Product name	NeuroQuant MS
Company	Cortechs.ai
Subspeciality	Neuro
Modality	MR
Disease targeted	Multiple sclerosis, neurodegenerative diseases
Key-features	Lesion counts and volumes for new, enlarging, stable, and shrinking lesions, lesion burden calculation, normative data comparisons, longitudinal change data for lesions (per region) and brain structures, lesion change summary
Suggested use	Before: flagging acute findings During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand)

Technical Specifications

Data characteristics
Population	All MR series where lesions are suspected
Input	3D T1 MR sequence, 3D or 2D T2 MR sequence
Input format	DICOM
Output	Lesion and brain structure segmentation overlays, lesion and brain change overlays, quantitative report with volumetric results
Output format	DICOM
Technology
Integration	Integration via AI marketplace or distribution platform, Stand-alone third party application, Stand-alone webbased
Deployment	Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based
Trigger for analysis	On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time	> 10 minutes

Regulatory

Certification
CE	Certified, Class IIa , MDD
FDA	510(k) cleared , Class II
Intended Use Statements
Intended use (according to CE)

Market

Market presence
On market since	08-2006
Distribution channels	Blackford, Nuance PIN, Eureka Clinical AI, Olea Medical, GE Healthcare, GMP, Getz Healthcare, Philips AI Manager
Countries present (clinical, non-research use)	43
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model	Pay-per-use, Subscription
Based on	Number of installations, Number of analyses

Evidence

Evidence
Peer reviewed papers on performance
Non-peer reviewed papers on performance	Poster: Performance evaluation for automated lesion segmentation tool: LesionQuant (read) White paper: LesionQuant Performance Evaluation - Accuracy and Reproducibility (read)
Other relevant papers