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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: September 4, 2024

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