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qCT-Lung
qCT-Lung
Qure.ai
qCT-Lung aids lung cancer screening programs and facilitates opportunistic screening using AI. It provides pre-read assistance to clinicians by detecting lung nodules & emphysema.
Information source:
Vendor
Last updated:
March 25, 2023
General Information
Technical Specifications
Regulatory
Market
Evidence
General Information
General
Product name
qCT-Lung
Company
Qure.ai
Subspeciality
Chest
Modality
CT
Disease targeted
Lung cancer, emphysema
Key-features
Lung nodule detection, emphysema detection
Suggested use
During: perception aid (prompting all abnormalities/results/heatmaps)
Technical Specifications
Data characteristics
Population
Chest CTs for adults (age >= 18 years)
Input
Non-contrast chest CTs, consistently spaced axial slices, soft reconstruction kernel, maximum slice thickness of 6 mm, minimum of 40 axial slices
Input format
DICOM
Output
Image annotation overlay
Output format
DICOM secondary capture, PDF
Technology
Integration
Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone webbased
Deployment
Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based
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
Regulatory
Certification
CE
Certified, Class IIb
, MDR
FDA
No or not yet
Intended Use Statements
Intended use (according to CE)
Market
Market presence
On market since
08-2021
Distribution channels
deepcOS
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model
Pay-per-use, Subscription
Based on
Number of installations, Number of analyses
Evidence
Evidence
Peer reviewed papers on performance
Validation of a commercially available CAD-system for lung nodule detection and characterization using CT-scans
(read)
Non-peer reviewed papers on performance
Other relevant papers