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Automatic Quantification of Interstitial Lung Disease From Chest Computed Tomography in Systemic Sclerosis

Background: Interstitial lung disease (ILD) is a common complication in patients with systemic sclerosis (SSc), and its diagnosis contributes to early treatment decisions. Purposes: To quantify ILD associated with SSc (SSc-ILD) from chest CT images using an automatic quantification method based on t...

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Published in:Frontiers in medicine 2020-09, Vol.7, p.577739-577739
Main Authors: Carvalho, Alysson Roncally S., Guimarães, Alan R., Sztajnbok, Flávio R., Rodrigues, Rosana Souza, Silva, Bruno Rangel Antunes, Lopes, Agnaldo José, Zin, Walter Araujo, Almeida, Isabel, França, Manuela Maria
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container_title Frontiers in medicine
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creator Carvalho, Alysson Roncally S.
Guimarães, Alan R.
Sztajnbok, Flávio R.
Rodrigues, Rosana Souza
Silva, Bruno Rangel Antunes
Lopes, Agnaldo José
Zin, Walter Araujo
Almeida, Isabel
França, Manuela Maria
description Background: Interstitial lung disease (ILD) is a common complication in patients with systemic sclerosis (SSc), and its diagnosis contributes to early treatment decisions. Purposes: To quantify ILD associated with SSc (SSc-ILD) from chest CT images using an automatic quantification method based on the computation of the weight of interstitial lung opacities. Methods: Ninety-four patients with SSc underwent CT, forced vital capacity (FVC), and carbon monoxide diffusion capacity (DL CO ) tests. Seventy-three healthy individuals without radiological evidence of lung disease served as controls. After lung and airway segmentation, the ratio between the weight of interstitial opacities [densities between −500 and +50 Hounsfield units (HU)] and the total lung weight (densities between −1,000 and +50 HU) was used as an ILD indicator (ILD[%] = 100 × [LW (−500 to +50HU) /LW (−1, 000 to +50HU) ]). The cutoff of normality between controls and SSc was determined with a receiver operator characteristic curve. The severity of pulmonary involvement in SSc patients was also assessed by calculating Z scores of ILD relative to the average interstitial opacities in controls. Accordingly, SSc-ILD was classified as SSc Limited-ILD ( Z score < 3) and SSc Extensive-ILD ( Z score ≥ 3 or FVC < 70%). Results: Seventy-eight (83%) SSc patients were classified as presenting SSc-ILD (optimal ILD threshold of 23.4%, 0.83 sensitivity, 0.92 specificity, and 0.94 area under the receiver operator characteristic curve, 95% CI from 0.89 to 0.96, 0.93 positive predictive value, and 0.81 negative predictive value, p < 0.001) and exhibited radiological attenuations compatible with interstitial pneumonia dispersed in the lung parenchyma. Thirty-six (38%) patients were classified as SSc Extensive-ILD (ILD threshold ≥ 29.6% equivalent to a Z score ≥ 3) and 42 (45%) as SSc Limited-ILD. Eighteen (50%) patients with SSc Extensive-ILD presented FVC < 70%, being only five patients classified exclusively based on FVC. SSc Extensive-ILD also presented lower DL CO (57.9 ± 17.9% vs. 73.7 ± 19.8%; p < 0.001) and total lung volume (2,916 ± 674 vs. 4,286 ± 1,136, p < 0.001) compared with SSc Limited-ILD. Conclusion: The proposed method seems to provide an alternative to identify and quantify the extension of ILD in patients with SSc, mitigating the subjectivity of semiquantitative analyzes based on visual scores.
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Purposes: To quantify ILD associated with SSc (SSc-ILD) from chest CT images using an automatic quantification method based on the computation of the weight of interstitial lung opacities. Methods: Ninety-four patients with SSc underwent CT, forced vital capacity (FVC), and carbon monoxide diffusion capacity (DL CO ) tests. Seventy-three healthy individuals without radiological evidence of lung disease served as controls. After lung and airway segmentation, the ratio between the weight of interstitial opacities [densities between −500 and +50 Hounsfield units (HU)] and the total lung weight (densities between −1,000 and +50 HU) was used as an ILD indicator (ILD[%] = 100 × [LW (−500 to +50HU) /LW (−1, 000 to +50HU) ]). The cutoff of normality between controls and SSc was determined with a receiver operator characteristic curve. The severity of pulmonary involvement in SSc patients was also assessed by calculating Z scores of ILD relative to the average interstitial opacities in controls. Accordingly, SSc-ILD was classified as SSc Limited-ILD ( Z score < 3) and SSc Extensive-ILD ( Z score ≥ 3 or FVC < 70%). Results: Seventy-eight (83%) SSc patients were classified as presenting SSc-ILD (optimal ILD threshold of 23.4%, 0.83 sensitivity, 0.92 specificity, and 0.94 area under the receiver operator characteristic curve, 95% CI from 0.89 to 0.96, 0.93 positive predictive value, and 0.81 negative predictive value, p < 0.001) and exhibited radiological attenuations compatible with interstitial pneumonia dispersed in the lung parenchyma. Thirty-six (38%) patients were classified as SSc Extensive-ILD (ILD threshold ≥ 29.6% equivalent to a Z score ≥ 3) and 42 (45%) as SSc Limited-ILD. Eighteen (50%) patients with SSc Extensive-ILD presented FVC < 70%, being only five patients classified exclusively based on FVC. SSc Extensive-ILD also presented lower DL CO (57.9 ± 17.9% vs. 73.7 ± 19.8%; p < 0.001) and total lung volume (2,916 ± 674 vs. 4,286 ± 1,136, p < 0.001) compared with SSc Limited-ILD. Conclusion: The proposed method seems to provide an alternative to identify and quantify the extension of ILD in patients with SSc, mitigating the subjectivity of semiquantitative analyzes based on visual scores.]]></description><identifier>ISSN: 2296-858X</identifier><identifier>EISSN: 2296-858X</identifier><identifier>DOI: 10.3389/fmed.2020.577739</identifier><identifier>PMID: 33102508</identifier><language>eng</language><publisher>Frontiers Media S.A</publisher><subject>chest computed tomography ; densitometry ; interstitial lung disease ; Medicine ; quantitative chest CT-analysis ; systemic sclerosis</subject><ispartof>Frontiers in medicine, 2020-09, Vol.7, p.577739-577739</ispartof><rights>Copyright © 2020 Carvalho, Guimarães, Sztajnbok, Rodrigues, Silva, Lopes, Zin, Almeida and França. 2020 Carvalho, Guimarães, Sztajnbok, Rodrigues, Silva, Lopes, Zin, Almeida and França</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c467t-74afe17719711f661f34b0469e96db847c011b40259a25dcebf8733218d885a3</citedby><cites>FETCH-LOGICAL-c467t-74afe17719711f661f34b0469e96db847c011b40259a25dcebf8733218d885a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7546366/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7546366/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids></links><search><creatorcontrib>Carvalho, Alysson Roncally S.</creatorcontrib><creatorcontrib>Guimarães, Alan R.</creatorcontrib><creatorcontrib>Sztajnbok, Flávio R.</creatorcontrib><creatorcontrib>Rodrigues, Rosana Souza</creatorcontrib><creatorcontrib>Silva, Bruno Rangel Antunes</creatorcontrib><creatorcontrib>Lopes, Agnaldo José</creatorcontrib><creatorcontrib>Zin, Walter Araujo</creatorcontrib><creatorcontrib>Almeida, Isabel</creatorcontrib><creatorcontrib>França, Manuela Maria</creatorcontrib><title>Automatic Quantification of Interstitial Lung Disease From Chest Computed Tomography in Systemic Sclerosis</title><title>Frontiers in medicine</title><description><![CDATA[Background: Interstitial lung disease (ILD) is a common complication in patients with systemic sclerosis (SSc), and its diagnosis contributes to early treatment decisions. Purposes: To quantify ILD associated with SSc (SSc-ILD) from chest CT images using an automatic quantification method based on the computation of the weight of interstitial lung opacities. Methods: Ninety-four patients with SSc underwent CT, forced vital capacity (FVC), and carbon monoxide diffusion capacity (DL CO ) tests. Seventy-three healthy individuals without radiological evidence of lung disease served as controls. After lung and airway segmentation, the ratio between the weight of interstitial opacities [densities between −500 and +50 Hounsfield units (HU)] and the total lung weight (densities between −1,000 and +50 HU) was used as an ILD indicator (ILD[%] = 100 × [LW (−500 to +50HU) /LW (−1, 000 to +50HU) ]). The cutoff of normality between controls and SSc was determined with a receiver operator characteristic curve. The severity of pulmonary involvement in SSc patients was also assessed by calculating Z scores of ILD relative to the average interstitial opacities in controls. Accordingly, SSc-ILD was classified as SSc Limited-ILD ( Z score < 3) and SSc Extensive-ILD ( Z score ≥ 3 or FVC < 70%). Results: Seventy-eight (83%) SSc patients were classified as presenting SSc-ILD (optimal ILD threshold of 23.4%, 0.83 sensitivity, 0.92 specificity, and 0.94 area under the receiver operator characteristic curve, 95% CI from 0.89 to 0.96, 0.93 positive predictive value, and 0.81 negative predictive value, p < 0.001) and exhibited radiological attenuations compatible with interstitial pneumonia dispersed in the lung parenchyma. Thirty-six (38%) patients were classified as SSc Extensive-ILD (ILD threshold ≥ 29.6% equivalent to a Z score ≥ 3) and 42 (45%) as SSc Limited-ILD. Eighteen (50%) patients with SSc Extensive-ILD presented FVC < 70%, being only five patients classified exclusively based on FVC. SSc Extensive-ILD also presented lower DL CO (57.9 ± 17.9% vs. 73.7 ± 19.8%; p < 0.001) and total lung volume (2,916 ± 674 vs. 4,286 ± 1,136, p < 0.001) compared with SSc Limited-ILD. Conclusion: The proposed method seems to provide an alternative to identify and quantify the extension of ILD in patients with SSc, mitigating the subjectivity of semiquantitative analyzes based on visual scores.]]></description><subject>chest computed tomography</subject><subject>densitometry</subject><subject>interstitial lung disease</subject><subject>Medicine</subject><subject>quantitative chest CT-analysis</subject><subject>systemic sclerosis</subject><issn>2296-858X</issn><issn>2296-858X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpVkU1rGzEQhpfSkoQ09xx17MWOvrW6FILbtAZDKfGhN6HVjmyZ3ZUraQv-95XjUBrmoBlpeGb0vk1zT_CSsVY_-BH6JcUUL4VSiul3zQ2lWi5a0f56_19-3dzlfMAYE0YFJ-yquWaMYCpwe9McHucSR1uCQz9nO5Xgg6tVnFD0aD0VSLmEEuyANvO0Q19CBpsBPaU4otUeckGrOB7nAj3axjHukj3uTyhM6PmUC4wV--wGSDGH_LH54O2Q4e71vG22T1-3q--LzY9v69XjZuG4VGWhuPVAlCJaEeKlJJ7xDnOpQcu-a7lymJCO1_21paJ30PlWMUZJ27etsOy2WV-wfbQHc0xhtOlkog3m5SKmnbGp_ncAQ4QFxq3QjMsaXedZB73ovOfE94JX1ucL6zh3VW0HU0l2eAN9-zKFvdnFP0YJLpmUFfDpFZDi77nKZcaQHQyDnSDO2VAuOCdEU11b8aXVVbVyAv9vDMHmbLg5G27OhpuL4ewvNDGfYw</recordid><startdate>20200925</startdate><enddate>20200925</enddate><creator>Carvalho, Alysson Roncally S.</creator><creator>Guimarães, Alan R.</creator><creator>Sztajnbok, Flávio R.</creator><creator>Rodrigues, Rosana Souza</creator><creator>Silva, Bruno Rangel Antunes</creator><creator>Lopes, Agnaldo José</creator><creator>Zin, Walter Araujo</creator><creator>Almeida, Isabel</creator><creator>França, Manuela Maria</creator><general>Frontiers Media S.A</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20200925</creationdate><title>Automatic Quantification of Interstitial Lung Disease From Chest Computed Tomography in Systemic Sclerosis</title><author>Carvalho, Alysson Roncally S. ; Guimarães, Alan R. ; Sztajnbok, Flávio R. ; Rodrigues, Rosana Souza ; Silva, Bruno Rangel Antunes ; Lopes, Agnaldo José ; Zin, Walter Araujo ; Almeida, Isabel ; França, Manuela Maria</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c467t-74afe17719711f661f34b0469e96db847c011b40259a25dcebf8733218d885a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>chest computed tomography</topic><topic>densitometry</topic><topic>interstitial lung disease</topic><topic>Medicine</topic><topic>quantitative chest CT-analysis</topic><topic>systemic sclerosis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Carvalho, Alysson Roncally S.</creatorcontrib><creatorcontrib>Guimarães, Alan R.</creatorcontrib><creatorcontrib>Sztajnbok, Flávio R.</creatorcontrib><creatorcontrib>Rodrigues, Rosana Souza</creatorcontrib><creatorcontrib>Silva, Bruno Rangel Antunes</creatorcontrib><creatorcontrib>Lopes, Agnaldo José</creatorcontrib><creatorcontrib>Zin, Walter Araujo</creatorcontrib><creatorcontrib>Almeida, Isabel</creatorcontrib><creatorcontrib>França, Manuela Maria</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Frontiers in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Carvalho, Alysson Roncally S.</au><au>Guimarães, Alan R.</au><au>Sztajnbok, Flávio R.</au><au>Rodrigues, Rosana Souza</au><au>Silva, Bruno Rangel Antunes</au><au>Lopes, Agnaldo José</au><au>Zin, Walter Araujo</au><au>Almeida, Isabel</au><au>França, Manuela Maria</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automatic Quantification of Interstitial Lung Disease From Chest Computed Tomography in Systemic Sclerosis</atitle><jtitle>Frontiers in medicine</jtitle><date>2020-09-25</date><risdate>2020</risdate><volume>7</volume><spage>577739</spage><epage>577739</epage><pages>577739-577739</pages><issn>2296-858X</issn><eissn>2296-858X</eissn><abstract><![CDATA[Background: Interstitial lung disease (ILD) is a common complication in patients with systemic sclerosis (SSc), and its diagnosis contributes to early treatment decisions. Purposes: To quantify ILD associated with SSc (SSc-ILD) from chest CT images using an automatic quantification method based on the computation of the weight of interstitial lung opacities. Methods: Ninety-four patients with SSc underwent CT, forced vital capacity (FVC), and carbon monoxide diffusion capacity (DL CO ) tests. Seventy-three healthy individuals without radiological evidence of lung disease served as controls. After lung and airway segmentation, the ratio between the weight of interstitial opacities [densities between −500 and +50 Hounsfield units (HU)] and the total lung weight (densities between −1,000 and +50 HU) was used as an ILD indicator (ILD[%] = 100 × [LW (−500 to +50HU) /LW (−1, 000 to +50HU) ]). The cutoff of normality between controls and SSc was determined with a receiver operator characteristic curve. The severity of pulmonary involvement in SSc patients was also assessed by calculating Z scores of ILD relative to the average interstitial opacities in controls. Accordingly, SSc-ILD was classified as SSc Limited-ILD ( Z score < 3) and SSc Extensive-ILD ( Z score ≥ 3 or FVC < 70%). Results: Seventy-eight (83%) SSc patients were classified as presenting SSc-ILD (optimal ILD threshold of 23.4%, 0.83 sensitivity, 0.92 specificity, and 0.94 area under the receiver operator characteristic curve, 95% CI from 0.89 to 0.96, 0.93 positive predictive value, and 0.81 negative predictive value, p < 0.001) and exhibited radiological attenuations compatible with interstitial pneumonia dispersed in the lung parenchyma. Thirty-six (38%) patients were classified as SSc Extensive-ILD (ILD threshold ≥ 29.6% equivalent to a Z score ≥ 3) and 42 (45%) as SSc Limited-ILD. Eighteen (50%) patients with SSc Extensive-ILD presented FVC < 70%, being only five patients classified exclusively based on FVC. SSc Extensive-ILD also presented lower DL CO (57.9 ± 17.9% vs. 73.7 ± 19.8%; p < 0.001) and total lung volume (2,916 ± 674 vs. 4,286 ± 1,136, p < 0.001) compared with SSc Limited-ILD. Conclusion: The proposed method seems to provide an alternative to identify and quantify the extension of ILD in patients with SSc, mitigating the subjectivity of semiquantitative analyzes based on visual scores.]]></abstract><pub>Frontiers Media S.A</pub><pmid>33102508</pmid><doi>10.3389/fmed.2020.577739</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
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subjects chest computed tomography
densitometry
interstitial lung disease
Medicine
quantitative chest CT-analysis
systemic sclerosis
title Automatic Quantification of Interstitial Lung Disease From Chest Computed Tomography in Systemic Sclerosis
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