ArticleRadiology2024
PiSlope: A New CT Metric for Quantifying Airway Remodeling in Chronic Obstructive Pulmonary Disease.
Article in Radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Seeing is believing-on the utility of CT in phenotyping chronic obstructive pulmonary disease.The British journal of radiology · 2026Review
- Precision treatment of COPD based on novel imaging phenotypes: a treatable traits approach.Respiratory research · 2026Review
- Association of PiSlope with lung function decline in individuals with preserved spirometry: a prospective cohort study.ERJ open research · 2026Article
- Imaging in Chronic Obstructive Pulmonary Disease: Ready for Prime Time?Tuberculosis and respiratory diseases · 2026Article
- Identification of imaging-based pulmonary and extrapulmonary treatable traits in COPD: a review.Frontiers in medicine · 2026Review
- Airway quantifications of bronchitis patients with photon-counting and energy-integrating computed tomography.Journal of medical imaging (Bellingham, Wash.) · 2026Article
- Cardiopulmonary Exercise Testing and Quantitative Chest CT in COPD: The Stronger Association of Emphysema Over Airway Thickness with Functional Impairment.International journal of chronic obstructive pulmonary disease · 2026Article
- PiSlope: A New Tool to Evaluate Airway Remodeling.Radiology · 2024Article
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6 authors.
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Abstract
Background Airway wall thickening is commonly quantified at chest CT with Pi10, the square root of the wall area of a hypothetical airway with a luminal perimeter of 10 mm. Although Pi10 has proven to be a useful construct, it assumes uniform thickening of all airways and considers only a single airway level in summarizing airway remodeling, limiting its accuracy. Purpose To evaluate PiSlope, a new metric for the quantification of airway wall thickening. Materials and Methods In this secondary analysis of data from a multicenter prospective study of individuals who currently smoke or formerly smoked as well as healthy volunteers who never smoked enrolled from January 2008 to June 2011 and followed up longitudinally until September 2022, chest CT images were analyzed section by section to quantify the luminal perimeter and airway wall thickness for each visible airway. Linear regression was used to calculate the slope of the luminal perimeter against wall thickness to determine the PiSlope. PiSlope was normalized by the individual's height squared. Multivariable regression was used to test the associations between airway metrics and respiratory outcomes. Results The mean age of the 8199 participants was 59.5 years ± 9.1 (SD), with 53% male and 67% White participants. With increasing disease severity (ie, Global Initiative for Chronic Obstructive Lung Disease stages 0-4), Pi10 increased (4.26 mm ± 0.23, 4.29 mm ± 0.21, 4.43 mm ± 0.26, 4.51 mm ± 0.28, and 4.53 mm ± 0.27, respectively) and PiSlope decreased (0.38 ± 0.10, 0.38 ± 0.10, 0.35 ± 0.11, 0.33 ± 0.10, and 0.31 ± 0.10) (trend test; both
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