Veolity is a reading platform dedicated to lung screening program. It combines lung CAD of solid pulmonary nodules, integration and automatic registration of prior studies and creates the associated report.
Veolity automatically marks regions that are suggestive of solid pulmonary nodules to quickly identify regions that demand further analysis. Each case is processed by a CAD algorithm detecting actionable lung nodules and highlighted to the user.
Product specifications Information source: Vendor
Last updated: July 7, 2020
General
Product name Veolity
Company MeVis Medical Solutions AG
Subspeciality Chest
Modality CT
Disease targeted Lung Cancer
Key-features nodule detection, segmentation and quantification, temporal registration and nodule comparison, report generation according to guidelines
Suggested use Before: flagging acute findings
During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand), report suggestion
Data characteristics
Population Chest CTs on an asymptomatic population
Input 3D chest CT
Input format DICOM
Output CAD report, CAD overlay, radiology report
Output format DICOM SR, DICOM SC, DICOM GSPS, XML, PDF, TXT
Technology
Integration Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration CIS (Clinical Information System), Stand-alone third party application
Deployment Locally on dedicated hardware, Locally virtualized (virtual machine, docker)
Trigger for analysis Automatically, right after the image acquisition
Processing time
Certification
CE Certified, Class IIa
FDA 510(k) cleared, Class II
Market presence
On market since 03-2015
Distribution channels On request
Countries present (clinical, non-research use) 25+ (including Europe, USA, Canada, Australia, Republik of Korea, Hong Kong)
Paying clinical customers (institutes) 500+
Research/test users (institutes) Veolity is used in several clinical trials world-wide
Pricing
Pricing model On request
Based on
Evidence
Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers