Quantib® ND

Quantib

Quantib® ND offers automated segmentation of brain structures and white matter hyperintensities. This machine learning radiology application provides insight into the possible presence of atrophy related to Alzheimer’s disease or other types of dementia. Quantib® ND's follow-up feature allows for tracking of neuro degeneration over time. Automatic assessment of white matter hyperintensity development supports monitoring of MS patients.The software distinguishes between new and previously identified WMHs, providing a visualization with color-coded lesions super positioned on an anatomical map.
Product specifications Information source: Vendor
Last updated: July 16, 2020
General
Product name Quantib® ND
Company Quantib
Subspeciality Neuro
Modality MR
Disease targeted neurodegenerative disease, dementia, Alzheimer’s disease, multiple sclerosis
Key-features brain structure segmentation and volume quantification, multiple time-point analysis, white matter hyperintensity detection and quantification, comparison to reference population
Suggested use During: interactive decision support (shows abnormalities/results only on demand), report suggestion
Data characteristics
Population All with suspicion of neuro degenerative disease, dementia, Alzheimer’s disease, MS
Input (contrast) 3DT1 MRI, (contrast) 3D or 2D T2 FLAIR MRI
Input format DICOM
Output segmentation overlays, draft radiology report including normative comparison
Output format DICOM
Technology
Integration Integration via AI marketplace or distribution platform, Stand-alone third party application
Deployment Locally on dedicated hardware
Trigger for analysis Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time > 10 minutes
Certification
CE Certified, Class IIa
FDA 510(k) cleared, Class II
Market presence
On market since 09-2017
Distribution channels Nuance, IBM, Intrasense
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model Subscription
Based on Number of users, Number of installations
Evidence
Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers