LungQ™ Clinical Suite

Thirona’s lung quantification software offers analysis of chest CT scans based on artificial intelligence, aiding in the detection, evaluation, and treatment planning of lung diseases. Analysis provided by the software include quantifications of anatomical volumes, disease distributions, airway morphology, vascular morphology, fissure completeness, and analysis of COVID related abnormalities.
Information source: Vendor
Last updated: March 20, 2020

General Information

Product name LungQ™ Clinical Suite
Company Thirona
Subspeciality Chest
Modality CT
Disease targeted COPD, emphysema, airtrapping, asthma, cystic fibrosis, COVID-19
Key-features Volume segmentation and quantification, volume density analysis, airway morphology , vascular morphology, fissure completeness analysis
Suggested use During: perception aid (prompting all abnormalities/results/heatmaps), report suggestion, treatment planning

Technical Specifications

Data characteristics
Population All chest CT scans
Input Volumetric chest CT, 3D, thin slice
Input format DICOM
Output Html report, pdf report, JSON file, segmentation overlays, quantitative values
Output format html, pdf, zraw, JSON
Integration Integration via AI marketplace or distribution platform, Stand-alone webbased
Deployment Locally on dedicated hardware
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 > 10 minutes


Certified, Class IIa , MDR
FDA 510(k) cleared , Class II
Intended Use Statements
Intended use (according to CE)


Market presence
On market since 09-2016
Distribution channels StratX
Countries present (clinical, non-research use) 22
Paying clinical customers (institutes) 400
Research/test users (institutes) 10
Pricing model Pay-per-use
Based on Number of analyses


Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers

  • Five-Year Progression of Emphysema and Air Trapping at CT in Smokers with and Those without Chronic Obstructive Pulmonary Disease: Results from the COPDGene Study. (read)

  • Airway wall thickening on CT: relation to smoking status and severity of COPD (read)

  • Disease Severity Dependence of the Longitudinal Association Between CT Lung Density and Lung Function in Smokers. (read)

  • Predicting Lung Volume Reduction after Endobronchial Valve Therapy Is Maximized Using a Combination of Diagnostic Tools (read)