NeuroQuant

Cortechs.ai

NeuroQuant® is a fully automated advanced imaging software that provides segmentation and quantification from brain MRI, revealing various biomarkers. Values are compared to a unique normative database of patients of the same age and sex and similar intracranial volume to aid in making clinical decisions regarding neurodegenerative diseases.

Information source: Vendor
Last updated: Jan. 21, 2021

General Information

General
Product name	NeuroQuant
Company	Cortechs.ai
Subspeciality	Neuro
Modality	MR
Disease targeted	Neurodegenerative brain disorders
Key-features	Brain region quantification (75 structures), brain change data, normative data comparisons, dynamic atlas, custom report options
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	Patients aged 3-100 with suspicion of atrophy, edema, or abnormal brain development
Input	3D T1 sagittal MR sequence
Input format	DICOM
Output	segmentation overlays, brain change overlay, quantitative report with structure volumes, structure change data, and normative comparisons
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 Intellispace
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	Deep Learning Enables 60% Accelerated Volumetric Brain MRI While Preserving Quantitative Performance: A Prospective, Multicenter, Multireader Trial (read) High-throughput, Fully Automated Volumetry for Predictionof MMSE and CDR Decline in Mild Cognitive Impairment (read) Fully-automated volumetric MRI withnormative ranges: Translation to clinicalpractice (read) Fully-Automated Quantification of Regional BrainVolumes for Improved Detection of Focal Atrophyin Alzheimer Disease (read) Comparison of Automated Brain Volume Measures obtained withNeuroQuantR_x0002_and FreeSurfer (read)
Non-peer reviewed papers on performance	White paper: The Importance of Quantitative Volumetric Analysis for Brain MRI - 10 Years of Clinical Practice (read) White paper: The NeuroQuantNormative Database - Comparing Individual Brain Structures (read) White paper: Dynamic Atlas™ - The New Personalized Segmentation Approach (read)
Other relevant papers