Detection and quantification of renal fibrosis by computerized tomography

OBJECTIVES: Reliable biomarkers for renal fibrosis are needed for clinical care and for research. Existing non-invasive biomarkers are imprecise, which has limited their utility. METHODS: We developed a method to quantify fibrosis by subject size-adjusted CT Hounsfield units. This was accomplished u...

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Autores principales: Cohen, Eric P., Olson, John D., Tooze, Janet A., Bourland, J. Daniel, Dugan, Greg O., Cline, J. Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018060/
https://www.ncbi.nlm.nih.gov/pubmed/32053617
http://dx.doi.org/10.1371/journal.pone.0228626
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author Cohen, Eric P.
Olson, John D.
Tooze, Janet A.
Bourland, J. Daniel
Dugan, Greg O.
Cline, J. Mark
author_facet Cohen, Eric P.
Olson, John D.
Tooze, Janet A.
Bourland, J. Daniel
Dugan, Greg O.
Cline, J. Mark
author_sort Cohen, Eric P.
collection PubMed
description OBJECTIVES: Reliable biomarkers for renal fibrosis are needed for clinical care and for research. Existing non-invasive biomarkers are imprecise, which has limited their utility. METHODS: We developed a method to quantify fibrosis by subject size-adjusted CT Hounsfield units. This was accomplished using CT measurements of renal cortex in previously irradiated non-human primates. RESULTS: Renal cortex mean CT Hounsfield units that were adjusted for body size had a very good direct correlation with renal parenchymal fibrosis, with an area under the curve of 0.93. CONCLUSIONS: This metric is a promising and simple non-invasive biomarker for renal fibrosis.
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spelling pubmed-70180602020-02-26 Detection and quantification of renal fibrosis by computerized tomography Cohen, Eric P. Olson, John D. Tooze, Janet A. Bourland, J. Daniel Dugan, Greg O. Cline, J. Mark PLoS One Research Article OBJECTIVES: Reliable biomarkers for renal fibrosis are needed for clinical care and for research. Existing non-invasive biomarkers are imprecise, which has limited their utility. METHODS: We developed a method to quantify fibrosis by subject size-adjusted CT Hounsfield units. This was accomplished using CT measurements of renal cortex in previously irradiated non-human primates. RESULTS: Renal cortex mean CT Hounsfield units that were adjusted for body size had a very good direct correlation with renal parenchymal fibrosis, with an area under the curve of 0.93. CONCLUSIONS: This metric is a promising and simple non-invasive biomarker for renal fibrosis. Public Library of Science 2020-02-13 /pmc/articles/PMC7018060/ /pubmed/32053617 http://dx.doi.org/10.1371/journal.pone.0228626 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Cohen, Eric P.
Olson, John D.
Tooze, Janet A.
Bourland, J. Daniel
Dugan, Greg O.
Cline, J. Mark
Detection and quantification of renal fibrosis by computerized tomography
title Detection and quantification of renal fibrosis by computerized tomography
title_full Detection and quantification of renal fibrosis by computerized tomography
title_fullStr Detection and quantification of renal fibrosis by computerized tomography
title_full_unstemmed Detection and quantification of renal fibrosis by computerized tomography
title_short Detection and quantification of renal fibrosis by computerized tomography
title_sort detection and quantification of renal fibrosis by computerized tomography
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018060/
https://www.ncbi.nlm.nih.gov/pubmed/32053617
http://dx.doi.org/10.1371/journal.pone.0228626
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