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Automated computer-based CT stratification as a predictor of outcome in hypersensitivity pneumonitis

Background Hypersensitivity pneumonitis (HP) has a variable clinical course. Modelling of quantitative CALIPER-derived CT data can identify distinct disease phenotypes. Mortality prediction using CALIPER analysis was compared to the interstitial lung disease gender, age, physiology (ILD-GAP) outcome...

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Bibliographic Details
Published in:European radiology 2017-09, Vol.27 (9), p.3635-3646
Main Authors: Jacob, Joseph, Bartholmai, B. J., Rajagopalan, S., Karwoski, R., Mak, S. M., Mok, W., Della Casa, G., Sugino, K., Walsh, S. L. F., Wells, A. U., Hansell, D. M.
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Language:English
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Summary:Background Hypersensitivity pneumonitis (HP) has a variable clinical course. Modelling of quantitative CALIPER-derived CT data can identify distinct disease phenotypes. Mortality prediction using CALIPER analysis was compared to the interstitial lung disease gender, age, physiology (ILD-GAP) outcome model. Methods CALIPER CT analysis of parenchymal patterns in 98 consecutive HP patients was compared to visual CT scoring by two radiologists. Functional indices including forced vital capacity (FVC) and diffusion capacity for carbon monoxide (DLco) in univariate and multivariate Cox mortality models. Automated stratification of CALIPER scores was evaluated against outcome models. Results Univariate predictors of mortality included visual and CALIPER CT fibrotic patterns, and all functional indices. Multivariate analyses identified only two independent predictors of mortality: CALIPER reticular pattern (p = 0.001) and DLco (p 
ISSN:0938-7994
1432-1084
DOI:10.1007/s00330-016-4697-4