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Automated CT Analysis of Major Forms of Interstitial Lung Disease

This study aimed to determine diagnostic and prognostic differences in major forms of interstitial lung disease using quantitative CT imaging. A retrospective study of 225 subjects with a multidisciplinary diagnosis of idiopathic pulmonary fibrosis (IPF), interstitial pneumonia with autoimmune featu...

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Autores principales: Crews, Marlee S., Bartholmai, Brian J., Adegunsoye, Ayodeji, Oldham, Justin M., Montner, Steven M., Karwoski, Ronald A., Husain, Aliya N., Vij, Rekha, Noth, Imre, Strek, Mary E., Chung, Jonathan H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7700631/
https://www.ncbi.nlm.nih.gov/pubmed/33238466
http://dx.doi.org/10.3390/jcm9113776
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author Crews, Marlee S.
Bartholmai, Brian J.
Adegunsoye, Ayodeji
Oldham, Justin M.
Montner, Steven M.
Karwoski, Ronald A.
Husain, Aliya N.
Vij, Rekha
Noth, Imre
Strek, Mary E.
Chung, Jonathan H.
author_facet Crews, Marlee S.
Bartholmai, Brian J.
Adegunsoye, Ayodeji
Oldham, Justin M.
Montner, Steven M.
Karwoski, Ronald A.
Husain, Aliya N.
Vij, Rekha
Noth, Imre
Strek, Mary E.
Chung, Jonathan H.
author_sort Crews, Marlee S.
collection PubMed
description This study aimed to determine diagnostic and prognostic differences in major forms of interstitial lung disease using quantitative CT imaging. A retrospective study of 225 subjects with a multidisciplinary diagnosis of idiopathic pulmonary fibrosis (IPF), interstitial pneumonia with autoimmune features (IPAF), connective tissue disease (CTD), or chronic hypersensitivity pneumonitis (cHP) was conducted. Non-contrast CT scans were analyzed using the Computer Aided Lung Informatics for Pathology Evaluation and Rating (CALIPER) program. Resulting data were analyzed statistically using ANOVA and Student’s t-test. Univariate, multivariable, and receiver operating characteristic analyses were conducted on patient mortality data. CALIPER analysis of axial distribution on CT scans in those with IPF demonstrated greater peripheral volumes of reticulation than either CTD (p = 0.033) or cHP (p = 0.007). CTD showed lower peripheral ground-glass opacity than IPF (p = 0.005) and IPAF (p = 0.004). Statistical analysis of zonal distributions revealed reduced lower zone ground-glass opacity in cHP than IPF (p = 0.044) or IPAF (p = 0.018). Analysis of pulmonary vascular-related structure (VRS) volume by diagnosis indicated greater VRS volume in IPF compared to CTD (p = 0.003) and cHP (p = 0.003) as well as in IPAF compared to CTD (p = 0.007) and cHP (p = 0.007). Increased reticulation (p = 0.043) and ground glass opacity (p = 0.032) were predictive of mortality on univariate analysis. Increased pulmonary VRS volume was predictive of mortality (p < 0.001) even after multivariate analysis (p = 0.041). Quantitative CT imaging revealed significant differences between ILD diagnoses in specific CT findings in axial and, to a lesser degree, zonal distributions. Increased pulmonary VRS volume seems to be associated with both diagnosis and survival.
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spelling pubmed-77006312020-11-30 Automated CT Analysis of Major Forms of Interstitial Lung Disease Crews, Marlee S. Bartholmai, Brian J. Adegunsoye, Ayodeji Oldham, Justin M. Montner, Steven M. Karwoski, Ronald A. Husain, Aliya N. Vij, Rekha Noth, Imre Strek, Mary E. Chung, Jonathan H. J Clin Med Article This study aimed to determine diagnostic and prognostic differences in major forms of interstitial lung disease using quantitative CT imaging. A retrospective study of 225 subjects with a multidisciplinary diagnosis of idiopathic pulmonary fibrosis (IPF), interstitial pneumonia with autoimmune features (IPAF), connective tissue disease (CTD), or chronic hypersensitivity pneumonitis (cHP) was conducted. Non-contrast CT scans were analyzed using the Computer Aided Lung Informatics for Pathology Evaluation and Rating (CALIPER) program. Resulting data were analyzed statistically using ANOVA and Student’s t-test. Univariate, multivariable, and receiver operating characteristic analyses were conducted on patient mortality data. CALIPER analysis of axial distribution on CT scans in those with IPF demonstrated greater peripheral volumes of reticulation than either CTD (p = 0.033) or cHP (p = 0.007). CTD showed lower peripheral ground-glass opacity than IPF (p = 0.005) and IPAF (p = 0.004). Statistical analysis of zonal distributions revealed reduced lower zone ground-glass opacity in cHP than IPF (p = 0.044) or IPAF (p = 0.018). Analysis of pulmonary vascular-related structure (VRS) volume by diagnosis indicated greater VRS volume in IPF compared to CTD (p = 0.003) and cHP (p = 0.003) as well as in IPAF compared to CTD (p = 0.007) and cHP (p = 0.007). Increased reticulation (p = 0.043) and ground glass opacity (p = 0.032) were predictive of mortality on univariate analysis. Increased pulmonary VRS volume was predictive of mortality (p < 0.001) even after multivariate analysis (p = 0.041). Quantitative CT imaging revealed significant differences between ILD diagnoses in specific CT findings in axial and, to a lesser degree, zonal distributions. Increased pulmonary VRS volume seems to be associated with both diagnosis and survival. MDPI 2020-11-23 /pmc/articles/PMC7700631/ /pubmed/33238466 http://dx.doi.org/10.3390/jcm9113776 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Crews, Marlee S.
Bartholmai, Brian J.
Adegunsoye, Ayodeji
Oldham, Justin M.
Montner, Steven M.
Karwoski, Ronald A.
Husain, Aliya N.
Vij, Rekha
Noth, Imre
Strek, Mary E.
Chung, Jonathan H.
Automated CT Analysis of Major Forms of Interstitial Lung Disease
title Automated CT Analysis of Major Forms of Interstitial Lung Disease
title_full Automated CT Analysis of Major Forms of Interstitial Lung Disease
title_fullStr Automated CT Analysis of Major Forms of Interstitial Lung Disease
title_full_unstemmed Automated CT Analysis of Major Forms of Interstitial Lung Disease
title_short Automated CT Analysis of Major Forms of Interstitial Lung Disease
title_sort automated ct analysis of major forms of interstitial lung disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7700631/
https://www.ncbi.nlm.nih.gov/pubmed/33238466
http://dx.doi.org/10.3390/jcm9113776
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