AVIEW COPD gives COPD information based on a non-enhanced CT-scan of the thorax. Evaluation includes segmentation of lungs and lung lobes, low attenuation analysis, emphysema, vessel analysis, fissure integrity, air trapping, and airway measurements.
Product specifications Information source: Vendor
Last updated: April 19, 2021
General
Product name AVIEW COPD
Company Coreline Soft
Subspeciality Chest
Modality CT
Disease targeted COPD, Emphysema
Key-features Lung lobe segmentation, Low Attenuation Analysis (LAA), Emphysema, Vessel Analysis, Fissure Integrity, Air Trapping, Airway Measurements, Pulmonary Vessels.
Suggested use During: perception aid (prompting all abnormalities/results/heatmaps), During: interactive decision support (shows abnormalities/results only on demand), During: report suggestion
Data characteristics
Population All adult chest CT
Input Standard Thoracic CT: 120kV, 100mAs, <1.5mm, >16 channel
Input format DICOM
Output PDF report, 3D visualisations, Encapsulated Dicom
Output format PDF, DICOM Structured Report
Technology
Integration Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration CIS (Clinical Information System), 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 1 - 10 minutes
Certification
CE
Certified, Class IIa
FDA
510(k) cleared, Class II
Market presence
On market since 11-2017
Distribution channels RMS Medical Devices
Countries present (clinical, non-research use) 10+
Paying clinical customers (institutes)
Research/test users (institutes) 15+
Pricing
Pricing model Subscription, One-off payment
Based on Number of users, Number of installations
Evidence
Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers