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Lung Imaging Biomarkers
MedQIA is the largest lung imaging core laboratory worldwide. MedQIA partners with University based Radiologists, Oncologists and Pulmonologists to conduct extensive research and development in Quantitative Image Analysis (QIA) of lung CT images. In particular the group has developed a software toolkit of image analysis routines that forms the basis of a Quantitative Imaging Workstation (QIWS). It employs a model-based engine to segment the lung, lobes, segments, and airways. The QIWS provides computer-assisted diagnosis of the lung from CT for early diagnosis, treatment planning and outcome assessment.
MedQIA has an extensive array of imaging biomarkers for Chronic Obstructive Pulmonary Disease (COPD). These include novel biomarkers for treatment planning and outcome assessment of new minimally invasive lobar volume reduction techniques: lobar volume and density assessment, fissure integrity scoring (FIS), Target Lobe Atalectasis Score (TLAS), and airway morphometry for bronchoscopic treatment planning. We also apply cutting-edge biomarkers based on lung texture analysis, these include assessment of honeycombing, ground-glass and lung fibrosis scoring, applied in assessment of scleroderma lung disease.
The QIA approach complements conventional pulmonary function tests (PFTs) because it is minimally-invasive and able to perform both global and regional assessment of the lung, thus providing greater sensitivity. The QIWS allows a variety of validated quantitative measures to be derived from any segmented lung region or subregion (e.g. lung lobe, anterior, middle or posterior zone, central or peripheral zone and combination zones such as posterior peripheral, middle peripheral, etc.).
Lung imaging biomarkers include: Volumetry, Attenuation Analysis, Texture Classification, Dynamic Imaging, Airway Morphometry, Fissure Integrity Scoring.
Clinical applications of these biomarkers include:
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Emphysema Treatment
Targeting and Outcome Assessment |
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Lung Fibrosis Scoring in Scleroderma |
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Functional Imaging in Asthma |
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