LungPrint® Discovery


LungPrint® Discovery is an automated, AI-powered analysis of a chest CT scan, providing radiologists with visual and quantitative information relevant to COPD and ILD. It includes a patent-pending airway visualization to aid the reporting of lung CT abnormalities. LungPrint Discovery is intended for thin slice (<1.5mm), inspiratory, non-contrast, standard kernel chest CT scans. The analysis supports low-dose CT scans utilized in lung cancer screening.
Product specifications Information source: Vendor
Last updated: Feb. 28, 2020
Product name LungPrint® Discovery
Company VIDA
Subspeciality Chest
Modality CT
Disease targeted COPD, interstitial lung disease (ILD), emphysema
Key-features Lung disease biomarkers, lung (lobe) volume quantification, scan suitability quality check, Hyperion View (tMPR), low density tissue quantification by lobe, high density tissue quantification by lobe, trachea analysis and quanitification
Suggested use Before: stratifying reading process (non, single, double read)
During: perception aid (prompting all abnormalities/results/heatmaps), report suggestion
Data characteristics
Population All Chest CT scans
Input Non-contrast
Input format DICOM
Output Quantified Values, Novel Visualizations, Quick Flag Diagrams
Output format DICOM SC
Integration Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform
Deployment Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based
Trigger for analysis Automatically, right after the image acquisition
Processing time 1 - 10 minutes
CE Certified, Class IIa
FDA 510(k) cleared, Class II
Market presence
On market since 12-2019
Distribution channels Nuance, Eureka Clinical AI, TeraRecon, IBM Watson Health, Blackford
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing model Subscription
Based on Number of analyses
Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers

  • Relationships Between Airflow Obstruction and Quantitative CT Measurements of Emphysema, Air Trapping, and Airways in Subjects With and Without Chronic Obstructive Pulmonary Disease (read)

  • Quantitative computed tomography of the lungs and airways in healthy nonsmoking adults (read)

  • Total Airway Count on Computed Tomography and the Risk of Chronic Obstructive Pulmonary Disease Progression. Findings from a Population-based Study (read)

  • Quantitative CT of Interstitial Lung Disease (read)

  • SPIROMICS Protocol for Multicenter Quantitative Computed Tomography to Phenotype the Lungs (read)