Lung structure and function relation in systemic sclerosis: Application of lung densitometry. Issue 5 (May 2015)

• Record Type: Journal Article
• Authors: Ninaber, Maarten K.; Stolk, Jan; Smit, Jasper; Le Roy, Ernest J.; Kroft, Lucia J.M.; Els Bakker, M.; de Vries Bouwstra, Jeska K.; Schouffoer, Anne A.; Staring, Marius; Stoel, Berend C.
• Is Part Of: European journal of radiology. Volume 84:Issue 5(2015)
• Page Start: 975
• Page End: 979
• Publication Date: 2015-05
• Subjects: Systemic sclerosis -- Interstitial lung disease -- Lung densitometry -- Chest CT imaging; Medical radiology -- Periodicals; Radiology -- Periodicals; Radiologie médicale -- Périodiques; Medical radiology; Periodicals; 616.075705
• DOI: 10.1016/j.ejrad.2015.01.012
• Languages: English
• ISSNs: 0720-048X

Abstract

Highlights: A quantitative CT parameter of lung parenchyma in systemic sclerosis is presented. We examine the optimal percentage threshold for the percentile density. The 85th percentile density threshold correlated significantly with lung function. A lung structure–function relation is confirmed. We report applicability of Perc85 in progression mapping of interstitial lung disease. Abstract: Introduction: Interstitial lung disease occurs frequently in patients with systemic sclerosis (SSc). Quantitative computed tomography (CT) densitometry using the percentile density method may provide a sensitive assessment of lung structure for monitoring parenchymal damage. Therefore, we aimed to evaluate the optimal percentile density score in SSc by quantitative CT densitometry, against pulmonary function. Material and methods: We investigated 41 SSc patients by chest CT scan, spirometry and gas transfer tests. Lung volumes and the n th percentile density (between 1 and 99%) of the entire lungs were calculated from CT histograms. The n th percentile density is defined as the threshold value of densities expressed in Hounsfield units. A prerequisite for an optimal percentage was its correlation with baseline DLCO %predicted. Two patients showed distinct changes in lung function 2 years after baseline. We obtained CT scans from these patients and performed progression analysis. Results: Regression analysis for the relation between DLCO %predicted and the n th percentile density was optimal at 85% (Perc85). There was significant agreement between Perc85 and DLCO %predicted ( R = −0.49, P = 0.001) and FVC %predicted ( R = −0.64, P < 0.001). Two patients showed a marked change in Perc85 over a 2 year period, but the localization of change differed clearly. Conclusions: We identified Perc85 as optimal lung density parameter, which correlated significantly with DLCO and FVC, confirming a lung parenchymal structure–function relation in SSc. This provides support for future studies to determine whether structural changes do precede lung function decline.