Differentiation of Idiopathic Pulmonary Fibrosis from Connective Tissue Disease-Related Interstitial Lung Disease Using Quantitative Imaging
A usual interstitial pneumonia (UIP) imaging pattern can be seen in both idiopathic pulmonary fibrosis (IPF) and connective tissue disease-related interstitial lung disease (CTD-ILD). The purpose of this multicenter study was to assess whether quantitative imaging data differ between IPF and CTD-ILD...
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Veröffentlicht in: | Journal of clinical medicine 2021-06, Vol.10 (12), p.2663 |
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creator | Chung, Jonathan H. Adegunsoye, Ayodeji Cannon, Brenna Vij, Rekha Oldham, Justin M. King, Christopher Montner, Steven M. Thirkateh, Prahasit Barnett, Scott Karwoski, Ronald Bartholmai, Brian J. Strek, Mary Nathan, Steven D. |
description | A usual interstitial pneumonia (UIP) imaging pattern can be seen in both idiopathic pulmonary fibrosis (IPF) and connective tissue disease-related interstitial lung disease (CTD-ILD). The purpose of this multicenter study was to assess whether quantitative imaging data differ between IPF and CTD-ILD in the setting of UIP. Patients evaluated at two medical centers with CTD-ILD or IPF and a UIP pattern on CT or pathology served as derivation and validation cohorts. Chest CT data were quantitatively analyzed including total volumes of honeycombing, reticulation, ground-glass opacity, normal lung, and vessel related structures (VRS). VRS was compared with forced vital capacity percent predicted (FVC%) and percent predicted diffusing capacity of the lungs for carbon monoxide (DLCO%). There were 296 subjects in total, with 40 CTD-ILD and 85 IPF subjects in the derivation cohort, and 62 CTD-ILD and 109 IPF subjects in the validation cohort. VRS was greater in IPF across the cohorts on univariate (p < 0.001) and multivariable (p < 0.001–0.047) analyses. VRS was inversely correlated with DLCO% in both cohorts on univariate (p < 0.001) and in the derivation cohort on multivariable analysis (p = 0.003) but not FVC%. Total volume of normal lung was associated with DLCO% (p < 0.001) and FVC% (p < 0.001–0.009) on multivariable analysis in both cohorts. VRS appears to have promise in differentiating CTD-ILD from IPF. The underlying pathophysiological relationship between VRS and ILD is complex and is likely not explained solely by lung fibrosis. |
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The purpose of this multicenter study was to assess whether quantitative imaging data differ between IPF and CTD-ILD in the setting of UIP. Patients evaluated at two medical centers with CTD-ILD or IPF and a UIP pattern on CT or pathology served as derivation and validation cohorts. Chest CT data were quantitatively analyzed including total volumes of honeycombing, reticulation, ground-glass opacity, normal lung, and vessel related structures (VRS). VRS was compared with forced vital capacity percent predicted (FVC%) and percent predicted diffusing capacity of the lungs for carbon monoxide (DLCO%). There were 296 subjects in total, with 40 CTD-ILD and 85 IPF subjects in the derivation cohort, and 62 CTD-ILD and 109 IPF subjects in the validation cohort. VRS was greater in IPF across the cohorts on univariate (p < 0.001) and multivariable (p < 0.001–0.047) analyses. VRS was inversely correlated with DLCO% in both cohorts on univariate (p < 0.001) and in the derivation cohort on multivariable analysis (p = 0.003) but not FVC%. Total volume of normal lung was associated with DLCO% (p < 0.001) and FVC% (p < 0.001–0.009) on multivariable analysis in both cohorts. VRS appears to have promise in differentiating CTD-ILD from IPF. The underlying pathophysiological relationship between VRS and ILD is complex and is likely not explained solely by lung fibrosis.</description><identifier>ISSN: 2077-0383</identifier><identifier>EISSN: 2077-0383</identifier><identifier>DOI: 10.3390/jcm10122663</identifier><identifier>PMID: 34204184</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Automation ; Clinical medicine ; Clinical outcomes ; Connective tissue diseases ; Lung diseases ; Medical imaging ; Medical prognosis ; Patients ; Pulmonary fibrosis ; Rheumatoid arthritis ; Software</subject><ispartof>Journal of clinical medicine, 2021-06, Vol.10 (12), p.2663</ispartof><rights>2021 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 (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 by the authors. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c386t-b34b94888d037e4c13a1d7d4682541628132d18741d0b7832ff0c3605c25248c3</citedby><cites>FETCH-LOGICAL-c386t-b34b94888d037e4c13a1d7d4682541628132d18741d0b7832ff0c3605c25248c3</cites><orcidid>0000-0002-7671-1023 ; 0000-0001-7834-6579</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/PMC8233999/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233999/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53769,53771</link.rule.ids></links><search><creatorcontrib>Chung, Jonathan H.</creatorcontrib><creatorcontrib>Adegunsoye, Ayodeji</creatorcontrib><creatorcontrib>Cannon, Brenna</creatorcontrib><creatorcontrib>Vij, Rekha</creatorcontrib><creatorcontrib>Oldham, Justin M.</creatorcontrib><creatorcontrib>King, Christopher</creatorcontrib><creatorcontrib>Montner, Steven M.</creatorcontrib><creatorcontrib>Thirkateh, Prahasit</creatorcontrib><creatorcontrib>Barnett, Scott</creatorcontrib><creatorcontrib>Karwoski, Ronald</creatorcontrib><creatorcontrib>Bartholmai, Brian J.</creatorcontrib><creatorcontrib>Strek, Mary</creatorcontrib><creatorcontrib>Nathan, Steven D.</creatorcontrib><title>Differentiation of Idiopathic Pulmonary Fibrosis from Connective Tissue Disease-Related Interstitial Lung Disease Using Quantitative Imaging</title><title>Journal of clinical medicine</title><description>A usual interstitial pneumonia (UIP) imaging pattern can be seen in both idiopathic pulmonary fibrosis (IPF) and connective tissue disease-related interstitial lung disease (CTD-ILD). The purpose of this multicenter study was to assess whether quantitative imaging data differ between IPF and CTD-ILD in the setting of UIP. Patients evaluated at two medical centers with CTD-ILD or IPF and a UIP pattern on CT or pathology served as derivation and validation cohorts. Chest CT data were quantitatively analyzed including total volumes of honeycombing, reticulation, ground-glass opacity, normal lung, and vessel related structures (VRS). VRS was compared with forced vital capacity percent predicted (FVC%) and percent predicted diffusing capacity of the lungs for carbon monoxide (DLCO%). There were 296 subjects in total, with 40 CTD-ILD and 85 IPF subjects in the derivation cohort, and 62 CTD-ILD and 109 IPF subjects in the validation cohort. VRS was greater in IPF across the cohorts on univariate (p < 0.001) and multivariable (p < 0.001–0.047) analyses. VRS was inversely correlated with DLCO% in both cohorts on univariate (p < 0.001) and in the derivation cohort on multivariable analysis (p = 0.003) but not FVC%. Total volume of normal lung was associated with DLCO% (p < 0.001) and FVC% (p < 0.001–0.009) on multivariable analysis in both cohorts. VRS appears to have promise in differentiating CTD-ILD from IPF. The underlying pathophysiological relationship between VRS and ILD is complex and is likely not explained solely by lung fibrosis.</description><subject>Automation</subject><subject>Clinical medicine</subject><subject>Clinical outcomes</subject><subject>Connective tissue diseases</subject><subject>Lung diseases</subject><subject>Medical imaging</subject><subject>Medical prognosis</subject><subject>Patients</subject><subject>Pulmonary fibrosis</subject><subject>Rheumatoid arthritis</subject><subject>Software</subject><issn>2077-0383</issn><issn>2077-0383</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkdtKxDAQhoMoKqtXvkDAG0GqOW2bvRFkPS0seECvQ5pO1yxtsiap4Dv40MYjamBIJvn4M_8MQnuUHHE-IcdL01NCGStLvoa2GamqgnDJ13-dt9BujEuSl5SC0WoTbXHBiKBSbKPXM9u2EMAlq5P1DvsWzxrrVzo9WoNvhq73TocXfGHr4KONuA2-x1PvHJhknwHf2xgHwGc2go5Q3EGnEzR45hKEmGzW7fB8cItvAj9Em7PbQec_k_7QmPV6kS930Earuwi7X_sIPVyc30-vivn15Wx6Oi8Ml2Uqai7qiZBSNoRXIAzlmjZVI0rJxoKWTFLOGiorQRtSV5KztiWGl2Rs2JgJafgInXzqroa6h8Zk90F3ahVsn60qr636--Lso1r4ZyVZbvpkkgUOvgSCfxogJtXbaKDrtAM_RJXrkIJQmvER2v-HLv0QXLb3To0JYTkydfhJmdzkGKD9KYYS9T5o9WvQ_A2Q6Zsv</recordid><startdate>20210617</startdate><enddate>20210617</enddate><creator>Chung, Jonathan H.</creator><creator>Adegunsoye, Ayodeji</creator><creator>Cannon, Brenna</creator><creator>Vij, Rekha</creator><creator>Oldham, Justin M.</creator><creator>King, Christopher</creator><creator>Montner, Steven M.</creator><creator>Thirkateh, Prahasit</creator><creator>Barnett, Scott</creator><creator>Karwoski, Ronald</creator><creator>Bartholmai, Brian J.</creator><creator>Strek, Mary</creator><creator>Nathan, Steven D.</creator><general>MDPI AG</general><general>MDPI</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-7671-1023</orcidid><orcidid>https://orcid.org/0000-0001-7834-6579</orcidid></search><sort><creationdate>20210617</creationdate><title>Differentiation of Idiopathic Pulmonary Fibrosis from Connective Tissue Disease-Related Interstitial Lung Disease Using Quantitative Imaging</title><author>Chung, Jonathan H. ; 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subjects | Automation Clinical medicine Clinical outcomes Connective tissue diseases Lung diseases Medical imaging Medical prognosis Patients Pulmonary fibrosis Rheumatoid arthritis Software |
title | Differentiation of Idiopathic Pulmonary Fibrosis from Connective Tissue Disease-Related Interstitial Lung Disease Using Quantitative Imaging |
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