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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 |
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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. |
doi_str_mv | 10.3389/fmed.2020.577739 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_15ae34a59346464bbf3bed5bff41fd54</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_15ae34a59346464bbf3bed5bff41fd54</doaj_id><sourcerecordid>2454411929</sourcerecordid><originalsourceid>FETCH-LOGICAL-c467t-74afe17719711f661f34b0469e96db847c011b40259a25dcebf8733218d885a3</originalsourceid><addsrcrecordid>eNpVkU1rGzEQhpfSkoQ09xx17MWOvrW6FILbtAZDKfGhN6HVjmyZ3ZUraQv-95XjUBrmoBlpeGb0vk1zT_CSsVY_-BH6JcUUL4VSiul3zQ2lWi5a0f56_19-3dzlfMAYE0YFJ-yquWaMYCpwe9McHucSR1uCQz9nO5Xgg6tVnFD0aD0VSLmEEuyANvO0Q19CBpsBPaU4otUeckGrOB7nAj3axjHukj3uTyhM6PmUC4wV--wGSDGH_LH54O2Q4e71vG22T1-3q--LzY9v69XjZuG4VGWhuPVAlCJaEeKlJJ7xDnOpQcu-a7lymJCO1_21paJ30PlWMUZJ27etsOy2WV-wfbQHc0xhtOlkog3m5SKmnbGp_ncAQ4QFxq3QjMsaXedZB73ovOfE94JX1ucL6zh3VW0HU0l2eAN9-zKFvdnFP0YJLpmUFfDpFZDi77nKZcaQHQyDnSDO2VAuOCdEU11b8aXVVbVyAv9vDMHmbLg5G27OhpuL4ewvNDGfYw</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2454411929</pqid></control><display><type>article</type><title>Automatic Quantification of Interstitial Lung Disease From Chest Computed Tomography in Systemic Sclerosis</title><source>PubMed Central</source><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</creator><creatorcontrib>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</creatorcontrib><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><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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source | PubMed Central |
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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