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qCT-Lung
qCT-Lung
qCT-Lung thumbnail 1
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Key Features

  • Emphysema detection
  • Lung nodule detection

General Information

Product name

qCT-Lung

Company

Subspeciality

Chest

Modality

CT

Disease targeted

Lung cancer, emphysema

Main task

Not specified

Technical Specifications

Population

Chest CTs for adults (age >= 18 years)

Patient population age

Not specified

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

Integration

Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone webbased

Deployment

Cloud-based, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, Etc., Image upload, On demand, Right after the image acquisition, Triggered by a user through e.g. a button click

Processing time

1 - 10 minutes

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIb

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

08-2021

AI Platforms

Deepc, Sectra

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Pay-per-use, Subscription

Based on

Number of analyses, Number of installations

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Validation of a commercially available CAD-system for lung nodule detection and characterization using CT-scans

Source: vendor | First published: Sep 4, 2024 | Last updated: Jul 9, 2025