Precision Imaging Insights to
Navigate COPD Complexity
Addressing Current Challenges
Despite progress in COPD care, effective assessment and treatment remain challenging. Spirometry provides functional insights but overlooks the structural complexity of the disease.
CT imaging visualizes airway and parenchymal changes, yet interpretation often relies on subjective expertise and varies across readers. Combined with patient heterogeneity, variable progression, and frequent comorbidities, this limits consistent disease evaluation.
384M
people affected
globally
4th
leading cause
of death
30%-40%
of patients with severe diagnosis
40%-50%
1-year mortality after severe exacerbations
Advancing Treatment Strategies with AI
Leveraging over 20 years of research in lung image analysis and insights from more than 25,000 COPD patient scans, developed through long-term collaboration with COPDGene, the world’s largest COPD study, we have built a unique expertise in this field.
Our AI-powered LungQ® analyses automatically quantify bronchial dimensions, airway count, mucus plugging, air trapping, lung density, and more, delivering objective and reliable metrics that enable:
- Phenotypic characterization through quantification of bronchial inflammation and emphysema
- Identification and quantification of small airway disease (SAD)
- Non-invasive evaluation of COPD related vascular abnormalities
- Comprehensive understanding on disease mechanism and progression trajectories
- Precise treatment target identification, planning and post-treatment follow up for surgical or bronchoscopic interventions
Artificial Intelligence-enabled analysis of lung CT scan have already become world standard for qualifying COPD patients with severe emphysema, for an endobronchial valve placement.
Having anatomical lung structures quantified down to a few millimeters, and the vascular density precisely calculated by AI, I can confidently take the most optimal treatment decisions for my patient.
Prof. Dr. Dirk-Jan Slebos, MD
University Medical Center Groningen
Bronchial Measures Linked to COPD Progression and Exacerbation Risk
LungQ metrics derived from long-term COPDGene data reveal that structural airway changes are strongly associated with COPD progression and exacerbation risk. Over 10 years, increases in airway wall thickness, reductions in lumen diameter, and higher mucus plugging were linked to disease worsening, while higher GOLD stages corresponded with greater bronchial tapering and emphysema burden.
Applied LungQ metrics:
- Bronchial wall thickening (LungQ BA)
- Bronchial widening/narrowing (LungQ BA)
- Bronchial tampering (LungQ BA)
- Mucus plugs (LungQ MP)