1. Fully automatic quantification of pulmonary fat attenuation volume by CT: an exploratory pilot study
- Author
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Luca Salhöfer, Mathias Holtkamp, Francesco Bonella, Lale Umutlu, Johannes Wienker, Dirk Westhölter, Matthias Welsner, Christian Taube, Kaid Darwiche, Judith Kohnke, Jannis Straus, Nikolas Beck, Marko Frings, Sebastian Zensen, Rene Hosch, Giulia Baldini, Felix Nensa, Marcel Opitz, and Johannes Haubold
- Subjects
Body composition ,Lung diseases (interstitial) ,Lung volume measurements ,Pulmonary disease (chronic obstructive) ,Tomography (x-ray computed) ,Medical physics. Medical radiology. Nuclear medicine ,R895-920 - Abstract
Abstract Background Non-malignant chronic diseases remain a major public health concern. Given the alterations in lipid metabolism and deposition in the lung and its association with fibrotic interstitial lung disease (fILD) and chronic obstructive pulmonary disease (COPD), this study aimed to detect those alterations using computed tomography (CT)-based analysis of pulmonary fat attenuation volume (CTpfav). Methods This observational retrospective single-center study involved 716 chest CT scans from three subcohorts: control (n = 279), COPD (n = 283), and fILD (n = 154). Fully automated quantification of CTpfav based on lung segmentation and HU-thresholding. The pulmonary fat index (PFI) was derived by normalizing CTpfav to the CT lung volume. Statistical analyses were conducted using Kruskal–Wallis with Dunn’s post hoc tests. Results Patients with fILDs demonstrated a significant increase in CTpfav (median 71.0 mL, interquartile range [IQR] 59.7 mL, p
- Published
- 2024
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