Detection and quantification of renal fibrosis by computerized tomography
Reliable biomarkers for renal fibrosis are needed for clinical care and for research. Existing non-invasive biomarkers are imprecise, which has limited their utility. We developed a method to quantify fibrosis by subject size-adjusted CT Hounsfield units. This was accomplished using CT measurements...
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description | Reliable biomarkers for renal fibrosis are needed for clinical care and for research. Existing non-invasive biomarkers are imprecise, which has limited their utility.
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.
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.
This metric is a promising and simple non-invasive biomarker for renal fibrosis. |
doi_str_mv | 10.1371/journal.pone.0228626 |
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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.
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.
This metric is a promising and simple non-invasive biomarker for renal fibrosis.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0228626</identifier><identifier>PMID: 32053617</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Animal welfare ; Animals ; Area Under Curve ; Biology and Life Sciences ; Biomarkers ; Body Size ; Calibration ; Collagen ; Computed tomography ; Diagnosis, Computer-Assisted ; Drug dosages ; Female ; Fibrosis ; Fibrosis - diagnostic imaging ; Kidney - diagnostic imaging ; Kidney - pathology ; Kidneys ; Laboratory animals ; Macaca mulatta ; Magnetic Resonance Imaging ; Male ; Medical imaging ; Medicine ; Medicine and Health Sciences ; Models, Animal ; Phantoms, Imaging ; Primates ; Renal cortex ; Research and Analysis Methods ; ROC Curve ; Scanners ; Sensitivity and Specificity ; Studies ; Tomography ; Tomography, X-Ray Computed ; Ultrasonic imaging</subject><ispartof>PloS one, 2020-02, Vol.15 (2), p.e0228626</ispartof><rights>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 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c526t-ae25d9fc2e5764cce9ac35387c4814ac7ec5ce7ab891ffcd92aad03b017701fa3</citedby><cites>FETCH-LOGICAL-c526t-ae25d9fc2e5764cce9ac35387c4814ac7ec5ce7ab891ffcd92aad03b017701fa3</cites><orcidid>0000-0003-4299-2290</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018060/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018060/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32053617$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cohen, Eric P</creatorcontrib><creatorcontrib>Olson, John D</creatorcontrib><creatorcontrib>Tooze, Janet A</creatorcontrib><creatorcontrib>Bourland, J Daniel</creatorcontrib><creatorcontrib>Dugan, Greg O</creatorcontrib><creatorcontrib>Cline, J Mark</creatorcontrib><title>Detection and quantification of renal fibrosis by computerized tomography</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Reliable biomarkers for renal fibrosis are needed for clinical care and for research. Existing non-invasive biomarkers are imprecise, which has limited their utility.
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.
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.
This metric is a promising and simple non-invasive biomarker for renal fibrosis.</description><subject>Animal welfare</subject><subject>Animals</subject><subject>Area Under Curve</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Body Size</subject><subject>Calibration</subject><subject>Collagen</subject><subject>Computed tomography</subject><subject>Diagnosis, Computer-Assisted</subject><subject>Drug dosages</subject><subject>Female</subject><subject>Fibrosis</subject><subject>Fibrosis - diagnostic imaging</subject><subject>Kidney - diagnostic imaging</subject><subject>Kidney - pathology</subject><subject>Kidneys</subject><subject>Laboratory animals</subject><subject>Macaca mulatta</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Models, Animal</subject><subject>Phantoms, Imaging</subject><subject>Primates</subject><subject>Renal cortex</subject><subject>Research and Analysis Methods</subject><subject>ROC Curve</subject><subject>Scanners</subject><subject>Sensitivity and Specificity</subject><subject>Studies</subject><subject>Tomography</subject><subject>Tomography, X-Ray Computed</subject><subject>Ultrasonic imaging</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNp1UUtr3DAQFqWlSdP-g9Iaet6tXpbsS6EkfSwEeknOYiyPNlq8liPJhe2vj5J1QnLoScPoezEfIR8ZXTOh2dddmOMIw3oKI64p543i6hU5Za3gK8WpeP1sPiHvUtpRWotGqbfkRPAyKqZPyeYCM9rsw1jB2Fe3M4zZO2_hYRVcFbGYVM53MSSfqu5Q2bCf5ozR_8O-ymEfthGmm8N78sbBkPDD8p6R658_rs5_ry7__Nqcf79c2ZqrvALkdd86y7HWSlqLLVhRcmkrGybBarS1RQ1d0zLnbN9ygJ6KjjKtKXMgzsjno-40hGSWKyTDRS21EIKxgtgcEX2AnZmi30M8mADePCxC3BqI2dsBjQPZgkIqmOokiK6hLdTMYs-clVS2Revb4jZ3e-wtjjnC8EL05c_ob8w2_DUlbEMVLQJfFoEYbmdM-T-R5RFly5lTRPfkwKi5r_uRZe7rNkvdhfbpebon0mO_4g7Kjar-</recordid><startdate>20200213</startdate><enddate>20200213</enddate><creator>Cohen, Eric P</creator><creator>Olson, John D</creator><creator>Tooze, Janet A</creator><creator>Bourland, J Daniel</creator><creator>Dugan, Greg O</creator><creator>Cline, J Mark</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-4299-2290</orcidid></search><sort><creationdate>20200213</creationdate><title>Detection and quantification of renal fibrosis by computerized tomography</title><author>Cohen, Eric P ; Olson, John D ; Tooze, Janet A ; Bourland, J Daniel ; Dugan, Greg O ; Cline, J Mark</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c526t-ae25d9fc2e5764cce9ac35387c4814ac7ec5ce7ab891ffcd92aad03b017701fa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Animal welfare</topic><topic>Animals</topic><topic>Area Under Curve</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Body Size</topic><topic>Calibration</topic><topic>Collagen</topic><topic>Computed tomography</topic><topic>Diagnosis, Computer-Assisted</topic><topic>Drug dosages</topic><topic>Female</topic><topic>Fibrosis</topic><topic>Fibrosis - 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Existing non-invasive biomarkers are imprecise, which has limited their utility.
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.
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.
This metric is a promising and simple non-invasive biomarker for renal fibrosis.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32053617</pmid><doi>10.1371/journal.pone.0228626</doi><orcidid>https://orcid.org/0000-0003-4299-2290</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Animal welfare Animals Area Under Curve Biology and Life Sciences Biomarkers Body Size Calibration Collagen Computed tomography Diagnosis, Computer-Assisted Drug dosages Female Fibrosis Fibrosis - diagnostic imaging Kidney - diagnostic imaging Kidney - pathology Kidneys Laboratory animals Macaca mulatta Magnetic Resonance Imaging Male Medical imaging Medicine Medicine and Health Sciences Models, Animal Phantoms, Imaging Primates Renal cortex Research and Analysis Methods ROC Curve Scanners Sensitivity and Specificity Studies Tomography Tomography, X-Ray Computed Ultrasonic imaging |
title | Detection and quantification of renal fibrosis by computerized tomography |
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