White Matter Lesions

Quibim

Quibim's White Matter Lesions enables to detect, automatically segment and characterize white matter lesions by calculating their volume, area, dissemination, entropy and other biomarkers. The suite uses an AI methodology based on an ensemble of convolutional neural networks (CNN) that are able to detect and segment white matter hyperintensities in FLAIR images. The tool supports the early detection, diagnosis and follow-up of brain disorders including focal epilepsy, migraine and stroke.
Product specifications Information source: Vendor
Last updated: Nov. 19, 2021
General
Product name White Matter Lesions
Company Quibim
Subspeciality Neuro
Modality MR
Disease targeted Alzheimer's disease, focal epilepsy, frontotemporal dementia, Parkinson's disease, migraine, multiple sclerosis, amyotrophic lateral sclerosis, dementia, stroke, psychiatric disorder, traumatic brain injury, Schizophrenia, brain atrophy
Key-features Lesion volume, Lesion count, Entropy, dissemination
Suggested use Without interference of a radiologist: AI-only diagnosis
Data characteristics
Population
Input MRI T2- FLAIR
Input format
Output One-page structured report: brain slices with high lesion volume, lesion statistics summary
Output format DICOM Secondary Capture / PDF
Technology
Integration Integration in standard reading environment (PACS), 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, Hybrid solution
Trigger for analysis Automatically, right after the image acquisition
Processing time > 10 minutes
Certification
CE
Certified, Class IIa , MDD
FDA
 No or not yet
Market presence
On market since 01-2019
Distribution channels Alma HEALTH PLATFORM
Countries present (clinical, non-research use) 6
Paying clinical customers (institutes) 5+
Research/test users (institutes) <5
Pricing
Pricing model License
Based on Number of installations, Number of analyses
Evidence
Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers Magraner MJ, Bosca I, Simó-Castelló M, García-Martí G, Alberich-Bayarri A, Coret F, Alvarez-Cermeño JC, Martí-Bonmatí L, Villar LM, Casanova B. Brain atrophy and lesion load are related to CSF lipid-specific IgM oligoclonal bands in clinically isolated syndromes. Neuroradiology. 2012 Jan; 54(1): 5-12.