Publication
Automatic Quantification of Interstitial Lung Disease From Chest Computed Tomography in Systemic Sclerosis
dc.contributor.author | Carvalho, Alysson Roncally S. | |
dc.contributor.author | Guimarães, Alan R. | |
dc.contributor.author | Sztajnbok, Flávio R. | |
dc.contributor.author | Rodrigues, Rosana Souza | |
dc.contributor.author | Silva, Bruno Rangel Antunes | |
dc.contributor.author | Lopes, Agnaldo José | |
dc.contributor.author | Zin, Walter Araujo | |
dc.contributor.author | Almeida, Isabel | |
dc.contributor.author | França, Manuela | |
dc.date.accessioned | 2021-11-23T15:21:31Z | |
dc.date.available | 2021-11-23T15:21:31Z | |
dc.date.issued | 2020-09-25 | |
dc.description.abstract | 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 (DLCO) 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 DLCO (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. | pt_PT |
dc.description.sponsorship | This research was supported by the Brazilian Council for Scientific and Technological Development (Conselho Nacional de Desenvolvimento Científico e Tecnológico-CNPq) and the Rio de Janeiro State Research Supporting Foundation (Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro-FAPERJ) | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Carvalho ARS, Guimarães AR, Sztajnbok FR, et al. Automatic Quantification of Interstitial Lung Disease From Chest Computed Tomography in Systemic Sclerosis. Front Med (Lausanne). 2020;7:577739. doi:10.3389/fmed.2020.577739 | pt_PT |
dc.identifier.doi | 10.3389/fmed.2020.577739 | pt_PT |
dc.identifier.issn | 2296-858X | |
dc.identifier.uri | http://hdl.handle.net/10400.16/2629 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | Frontiers Media | pt_PT |
dc.relation.publisherversion | https://www.frontiersin.org/articles/10.3389/fmed.2020.577739/full | pt_PT |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | chest computed tomography | pt_PT |
dc.subject | densitometry | pt_PT |
dc.subject | interstitial lung disease | pt_PT |
dc.subject | quantitative chest CT-analysis | pt_PT |
dc.subject | systemic sclerosis | pt_PT |
dc.title | Automatic Quantification of Interstitial Lung Disease From Chest Computed Tomography in Systemic Sclerosis | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.conferencePlace | Switzerland | pt_PT |
oaire.citation.startPage | 577739 | pt_PT |
oaire.citation.title | Frontiers in Medicine | pt_PT |
oaire.citation.volume | 7 | pt_PT |
person.familyName | França | |
person.givenName | Manuela | |
person.identifier.ciencia-id | EA1B-D7C4-C8CE | |
person.identifier.orcid | 0000-0003-1068-8577 | |
person.identifier.scopus-author-id | 24466466300 | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
relation.isAuthorOfPublication | d731cc71-98f2-45c3-82f4-030b27c145b6 | |
relation.isAuthorOfPublication.latestForDiscovery | d731cc71-98f2-45c3-82f4-030b27c145b6 |
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