title: Early detection of emphysema progression.
abstract: Emphysema is one of the most widespread diseases in subjects with smoking history. The gold standard method for estimating the severity of emphysema is a lung function test, such as forced expiratory volume in first second (FEV1). However, several clinical studies showed that chest CT scans offer more sensitive estimates of emphysema progression. The standard CT densitometric score of emphysema is the relative area of voxels below a threshold (RA). The RA score is a global measurement and reflects the overall emphysema progression. In this work, we propose a framework for estimation of local emphysema progression from longitudinal chest CT scans. First, images are registered to a common system of coordinates and then local image dissimilarities are computed in corresponding anatomical locations. Finally, the obtained dissimilarity representation is converted into a single emphysema progression score. We applied the proposed algorithm on 27 patients with severe emphysema with CT scans acquired five time points, at baseline, after 3, after 12, after 21 and after 24 or 30 months. The results showed consistent emphysema progression with time and the overall progression score correlates significantly with the increase in RA score.
authors.affiliation: Department of Computer Science, University of Copenhagen, Denmark.
authors.forename: Vladlena
authors.initials: V
authors.lastname: Gorbunova
authors.forename: Sander S A M
authors.initials: SS
authors.lastname: Jacobs
authors.forename: Pechin
authors.initials: P
authors.lastname: Lo
authors.forename: Asger
authors.initials: A
authors.lastname: Dirksen
authors.forename: Mads
authors.initials: M
authors.lastname: Nielsen
authors.forename: Alireza
authors.initials: A
authors.lastname: Bab-Hadiashar
authors.forename: Marleen
authors.initials: M
authors.lastname: de Bruijne
mesh_terms: D000465:Algorithms; D018450:Disease Progression; D042241:Early Diagnosis; D004646:Emphysema / Q000000981:diagnostic imaging*; D006801:Humans; D008168:Lung / Q000000981:diagnostic imaging*; D010363:Pattern Recognition, Automated / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D013902:Radiography, Thoracic / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D014057:Tomography, X-Ray Computed / Q000379:methods*