scholarly journals Relationship between lung function, ventilation–perfusion inequality and extent of emphysema as assessed by high-resolution computed tomography

2002 ◽  
Vol 96 (11) ◽  
pp. 934-943 ◽  
Author(s):  
K SANDEK ◽  
T BRATEL ◽  
L LAGERSTRAND ◽  
H ROSELL
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Lung Function ◽  
High Resolution Computed Tomography

scholarly journals Comparative analysis of density histograms and visual scores in incremental and volumetric high-resolution computed tomography of the chest in idiopathic pulmonary fibrosis patients

2020 ◽  
Author(s):  
Gaetano Rea ◽  
Marina De Martino ◽  
Annalisa Capaccio ◽  
Pasquale Dolce ◽  
Tullio Valente ◽  
...  
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Lung Function ◽  
Idiopathic Pulmonary Fibrosis ◽  
Pulmonary Fibrosis ◽  
Ct Scans ◽  
High Resolution Computed Tomography ◽  
Disease Extent ◽  
Single Breath ◽  
Volumetric Ct

Abstract Background Volumetric high-resolution computed tomography (HRCT) of the chest has recently replaced incremental CT in the diagnostic workup of idiopathic pulmonary fibrosis (IPF). Concomitantly, visual and quantitative scores have been proposed for disease extent assessment to ameliorate disease management. Purpose To compare the performance of density histograms (mean lung attenuation, skewness, and kurtosis) and visual scores, along with lung function correlations, in IPF patients submitted to incremental or volumetric thorax HRCT. Material and methods Clinical data and CT scans of 89 newly diagnosed and therapy-naive IPF patients were retrospectively evaluated. Results Forty-six incremental and 43 volumetric CT scans were reviewed. No differences of density histograms and visual scores estimates were found by comparing two HRCT techniques, with an optimal inter-operator agreement (concordance correlation coefficient >0.90 in all instances). Single-breath diffusing lung capacity for carbon monoxide (DLCOsb) was inversely related with the Best score (r = −00.416; p = 0.014), the Kazerooni fibrosis extent (r = −0.481; p = 0.004) and the mean lung attenuation (r = −0.382; p = 0.026), while a positive correlation was observed with skewness (r = 0.583; p = 0.001) and kurtosis (r = 0.543; p = 0.001) in the incremental HRCT sub-group. Similarly, in the volumetric CT sub-cohort, DLCOsb was significantly associated with skewness (r = 0.581; p = 0.007) and kurtosis (r = 0.549; p = 0.018). Correlations with visual scores were not confirmed. Forced vital capacity significantly related to all density indices independently on HRCT technique. Conclusions Density histograms and visual scores similarly perform in incremental and volumetric HRCT. Density quantification displays an optimal reproducibility and proves to be superior to visual scoring as more strongly correlated with lung function.

scholarly journals Predictive Value of Serial High-Resolution Computed Tomography Analyses and Concurrent Lung Function Tests in Systemic Sclerosis

2015 ◽  
Vol 67 (8) ◽  
pp. 2205-2212 ◽  
Author(s):  
Anna-Maria Hoffmann-Vold ◽  
Trond M. Aaløkken ◽  
May Brit Lund ◽  
Torhild Garen ◽  
Øyvind Midtvedt ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Systemic Sclerosis ◽  
High Resolution ◽  
Lung Function ◽  
Predictive Value ◽  
Lung Function Tests ◽  
High Resolution Computed Tomography ◽  
Function Tests

Impairment of lung function in asbestos-exposed workers in relation to high-resolution computed tomography

2005 ◽  
Vol 31 (1) ◽  
pp. 44-51 ◽  
Author(s):  
Päivi Piirilä ◽  
Marja Lindqvist ◽  
Olli Huuskonen ◽  
Simo Kaleva ◽  
Heikki Koskinen ◽  
...  
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Lung Function ◽  
High Resolution Computed Tomography ◽  
Exposed Workers

scholarly journals Radiomic measures from chest high-resolution computed tomography associated with lung function in sarcoidosis

2019 ◽  
Vol 54 (2) ◽  
pp. 1900371 ◽  
Author(s):  
Sarah M. Ryan ◽  
Tasha E. Fingerlin ◽  
Margaret Mroz ◽  
Briana Barkes ◽  
Nabeel Hamzeh ◽  
...  
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Lung Function ◽  
Treatment Options ◽  
Stage Iv ◽  
Disease Status ◽  
Pulmonary Sarcoidosis ◽  
Healthy Controls ◽  
High Resolution Computed Tomography ◽  
Additional Information

IntroductionPulmonary 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.MethodsRadiomic 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.ResultsGlobal radiomic measures differed significantly between sarcoidosis subjects and controls (p<0.001 for skewness, kurtosis, fractal dimension and Geary'sC), 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'sCand 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.ConclusionsRadiomic HRCT measures objectively differentiate disease abnormalities, associate with lung function and identify trends in Scadding stage, showing promise as quantitative biomarkers for pulmonary sarcoidosis.

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