Nodule analysis
Automated detection and segmentation of pulmonary nodules between 4 and 30 mm, with solid, part-solid and non-solid classification.
contextflow ADVANCE Chest CT × mint Lesion
Lung Cancer Screening:
Lung Cancer Screening:
all-in-one, automated, compliant.
AI-assisted, guideline-based workflows with seamless integration between contextflow ADVANCE Chest CT and mint Lesion.
Capabilities
State-of-the-art nodule detection and analysis
Plus emphysema detection and incidental calcium scoring.
Longitudinal tracking
A visual timeline of nodule progression or regression across priors, including Volume Doubling Time (VDT).
Beyond the nodule
Detection and quantification of emphysema, more accurate than HU-based methods, alongside ILD patterns and incidental PE or coronary artery calcification (CAC).
Workflow
Radiologist-centric design, fit to your workflow
Whether you perform the first or second read, we've got you covered.
Seamless integration
contextflow findings are highlighted directly within the mint Lesion viewer.
One-click reporting
Automated calculation of standard scores (Lung-RADS 2022, Brock model) and generation of structured, consistent reports.
Collaborative reading
Support for first- and second-reader workflows with blinded opinions and consensus reporting.
Compared
Standard radiology workflow
- Manual lesion tracking across priors
- Manual data entry for guideline scoring
- Inconsistent categorisation across readers
- Siloed systems, multiple logins
contextflow + mint Lesion
- AI-calculated Volume Doubling Time (VDT)
- One-click Lung-RADS 2022 and Brock reporting
- Consistent, guideline-based categorisation
- Findings pre-populated natively in the viewer
Compliance Germany
Built for the screening mandate, not around it.
GDPR-compliant by design
Data handling aligned with German data-protection requirements for population screening.
Native Lung-RADS 2022 scoring
Structured, guideline-based categorisation generated as part of the read, not after it.
Second-reader workflow, built in
Supports blinded first- and second-reader opinions and consensus reporting, as required by the mandate.
Audit-ready by default
Every read produces a structured, exportable report aligned with the mandate, ready for registry submission and tumour board handoff.
Beyond LCS
Beyond the current LCS mandate
Malignancy risk scoring (mSI)
AI-based risk stratification that reduces false positives and false negatives in routine reading. mSI is not currently required by LCS guidelines. It is supplementary clinical value that contextflow brings on top of the mandated workflow.
Evidence
Validated in practice.
Peer-reviewed evidence, clinical study data and the sessions behind the science.
Whitepaper
Emphysema quantification beyond HU-based methods
Clinical study
Lleida study: risk stratification in routine screening
Webinar series (German)
Lungenkrebs-Screening-Programm in Deutschland
Product demo
The joint contextflow × mint Lesion workflow, end to end