Quantitative lung CT analysis helping to decode COPD pathology

Sherlock study led by University Medical Center Groningen (UMCG) is one of the work packages within the Dutch Precision Medicine for more Oxygen program #P402.

This initiative aims to define CT-based structural COPD phenotypes and map them directly to their underlying inflammatory and molecular mechanisms, focusing on earlier identification of high-risk individuals who start to show structural lung abnormalities but do not yet exhibit airflow obstruction.

Thirona was invited to provide critical imaging insights to complement multi-omics data, enabling a comprehensive characterization of the disease.

Project highlights

  • Large cohort of 600 COPD patients and 1,200 CT scans
  • Five distinct imaging phenotypes identified
  • Structural lung changes observed in asymptomatic individuals

Contribution by Thirona

Within this project, Thirona conducted AI-powered quantitative CT analysis of the lung parenchyma, airways, bronchus-artery pairs, and pulmonary vasculature, from the global-lung level down to individual lobes.

Key measurements included:

  • Bronchial wall thickness, bronchial dilatation and bronchial narrowing, using LungQ® BA
  • Mucus plugs count and volume, using LungQ® MP
  • Emphysema, air trapping ,using LungQ® VERA
  • Vascular phenotyping, using LungQ® AVX

Through comprehensive assessment of bronchial abnormalities, mucus plugging, ventilation patterns, and pulmonary vasculature, 47 individuals in the non-COPD group were identified as exhibiting structural features associated with an increased risk of developing COPD.

Relevant Publications

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