Journal article
Radiomic measures from chest high-resolution computed tomography associated with lung function in sarcoidosis
The European respiratory journal, Vol.54(2), p.1900371
08/01/2019
DOI: 10.1183/13993003.00371-2019
PMCID: PMC7261239
PMID: 31196947
Abstract
Introduction: Pulmonary sarcoidosis is a rare heterogeneous lung disease of unknown aetiology, with limited treatment options. Phenotyping relies on clinical testing including visual scoring of chest radiographs. Objective radiomic measures from high-resolution computed tomography (HRCT) may provide additional information to assess disease status. As the first radiomics analysis in sarcoidosis, we investigate the potential of radiomic measures as biomarkers for sarcoidosis, by assessing 1) differences in HRCT between sarcoidosis subjects and healthy controls, 2) associations between radiomic measures and spirometry, and 3) trends between Scadding stages.
Methods: Radiomic features were computed on HRCT in three anatomical planes. Linear regression compared global radiomic features between sarcoidosis subjects (n=73) and healthy controls (n=78), and identified associations with spirometry. Spatial differences in associations across the lung were investigated using functional data analysis. A subanalysis compared radiomic features between Scadding stages.
Results: Global radiomic measures differed significantly between sarcoidosis subjects and controls (p<0.001 for skewness, kurtosis, fractal dimension and Geary's C), with differences in spatial radiomics most apparent in superior and lateral regions. In sarcoidosis subjects, there were significant associations between radiomic measures and spirometry, with a large association found between Geary's C and forced vital capacity (FVC) (p=0.008). Global radiomic measures differed significantly between Scadding stages (p<0.032), albeit nonlinearly, with stage IV having more extreme radiomic values. Radiomics explained 71.1% of the variability in FVC compared with 51.4% by Scadding staging alone.
Conclusions: Radiomic HRCT measures objectively differentiate disease abnormalities, associate with lung function and identify trends in Scadding stage, showing promise as quantitative biomarkers for pulmonary sarcoidosis.
Details
- Title: Subtitle
- Radiomic measures from chest high-resolution computed tomography associated with lung function in sarcoidosis
- Creators
- Sarah M. Ryan - Colorado School of Public HealthTasha E. Fingerlin - Colorado School of Public HealthMargaret Mroz - National Jewish HealthBriana Barkes - National Jewish HealthNabeel Hamzeh - University of Iowa Hospitals and ClinicsLisa A. Maier - Colorado School of Public HealthNichole E. Carlson - Colorado School of Public Health
- Resource Type
- Journal article
- Publication Details
- The European respiratory journal, Vol.54(2), p.1900371
- Publisher
- European Respiratory Soc Journals Ltd
- DOI
- 10.1183/13993003.00371-2019
- PMID
- 31196947
- PMCID
- PMC7261239
- ISSN
- 0903-1936
- eISSN
- 1399-3003
- Number of pages
- 11
- Grant note
- R01HL142049 / NATIONAL HEART, LUNG, AND BLOOD INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Heart Lung & Blood Institute (NHLBI) R01 HL089856; R01 HL114587; R01 HL142049; U01 HL112695; U01 HL112707 / US Dept of Health and Human Services, National Institute of Health, National Heart, Lung, and Blood Institute
- Language
- English
- Date published
- 08/01/2019
- Academic Unit
- Pulmonary, Critical Care, and Occupational Medicine; Internal Medicine
- Record Identifier
- 9984359820702771
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