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e-ASPECTS
e-ASPECTS
Brainomix
e-ASPECTS is a decision support tool for assessing stroke signs on plain CT brain scans which automates and standardizes the ASPECTS score and measures the volume of ischemic signs. e-ASPECTS assesses non-contrast CT scans for signs of hypodensity, with a "heat map" indicating areas of detected hypodensity and automatically segments ASPECTS regions, scoring and outlining regions containing signs of hypodensity.
e-ASPECTS additionally highlights and measures hyperdense vessel signs to detect occlusions as well as volumes of hyperdensities, which may be indicative of blood.
Information source:
Vendor
Last updated:
Feb. 18, 2024
General Information
Technical Specifications
Regulatory
Market
Evidence
General Information
General
Product name
e-ASPECTS
Company
Brainomix
Subspeciality
Neuro
Modality
CT
Disease targeted
Stroke
Key-features
ASPECTS score, ischemic volume quantification, HDVS detection, hyperdensity detection and quantification, report generation
Suggested use
Technical Specifications
Data characteristics
Population
Patients with suspicion of stroke
Input
Non-contrast CT
Input format
DICOM
Output
Heatmaps and segmentation outlines, clinical scoring
Output format
Technology
Integration
Integration in standard reading environment (PACS), 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, On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time
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
03-2015
Distribution channels
Blackford, Calantic
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model
Based on
Evidence
Evidence
Peer reviewed papers on performance
Assessing variability in non-contrast CT for the evaluation of stroke: The effect of CT image reconstruction conditions on AI-based CAD measurements of ASPECTS value and hypodense volume
(read)
Comparison of automated ASPECTS, large vessel occlusion detection and CTP analysis provided by Brainomix and RapidAI in patients with suspected ischaemic stroke
(read)
Hyperdense Artery Sign in Patients With Acute Ischemic Stroke–Automated Detection With Artificial Intelligence-Driven Software
(read)
Automated assessment of ischemic core on non-contrast computed tomography: a multicenter comparative analysis with CT perfusion
(read)
e-ASPECTS software improves interobserver agreement and accuracy of interpretation of aspects score
(read)
Non-peer reviewed papers on performance
Other relevant papers