@article{JTD20890,
author = {Thi Dan Linh Nguyen-Kim and Britta Maurer and Yossra A. Suliman and Fabian Morsbach and Oliver Distler and Thomas Frauenfelder},
title = {The impact of slice-reduced computed tomography on histogrambased densitometry assessment of lung fibrosis in patients with systemic sclerosis},
journal = {Journal of Thoracic Disease},
volume = {10},
number = {4},
year = {2018},
keywords = {},
abstract = {Background: To evaluate usability of slice-reduced sequential computed tomography (CT) compared to standard high-resolution CT (HRCT) in patients with systemic sclerosis (SSc) for qualitative and quantitative assessment of interstitial lung disease (ILD) with respect to (I) detection of lung parenchymal abnormalities, (II) qualitative and semiquantitative visual assessment, (III) quantification of ILD by histograms and (IV) accuracy for the 20%-cut off discrimination.
Methods: From standard chest HRCT of 60 SSc patients sequential 9-slice-computed tomography (reduced HRCT) was retrospectively reconstructed. ILD was assessed by visual scoring and quantitative histogram parameters. Results from standard and reduced HRCT were compared using non-parametric tests and analysed by univariate linear regression analyses.
Results: With respect to the detection of parenchymal abnormalities, only the detection of intrapulmonary bronchiectasis was significantly lower in reduced HRCT compared to standard HRCT (P=0.039). No differences were found comparing visual scores for fibrosis severity and extension from standard and reduced HRCT (P=0.051–0.073). All scores correlated significantly (P},
issn = {2077-6624}, url = {https://jtd.amegroups.org/article/view/20890}
}