Severity classification for idiopathic pulmonary fibrosis by using fuzzy logic
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Clinics |
Texto Completo: | https://www.revistas.usp.br/clinics/article/view/19520 |
Resumo: | OBJECTIVE: To set out a severity classification for idiopathic pulmonary fibrosis (IPF) based on the interaction of pulmonary function parameters with high resolution computed tomography (CT) findings. INTRODUCTION: Despite the contribution of functional and radiological methods in the study of IPF, there are few classification proposals for the disease based on these examinations. METHODS: A cross-sectional study was carried out, in which 41 non-smoking patients with IPF were evaluated. The following high resolution CT findings were quantified using a semi-quantitative scoring system: reticular abnormality, honeycombing and ground-glass opacity. The functional variables were measured by spirometry, forced oscillation technique, helium dilution method, as well as the single-breath method of diffusing capacity of carbon monoxide. With the interaction between functional indexes and high resolution CT scores through fuzzy logic, a classification for IPF has been built. RESULTS: Out of 41 patients studied, 26 were male and 15 female, with a mean age of 70.8 years. Volume measurements were the variables which showed the best interaction with the disease extension on high resolution CT, while the forced vital capacity showed the lowest estimative errors in comparison to total lung capacity. A classification for IPF was suggested based on the 95% confidence interval of the forced vital capacity %: mild group (>92.7); moderately mild (76.9-92.6); moderate (64.3-76.8%); moderately severe (47.1-64.2); severe (24.3-47.0); and very severe ( |
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Severity classification for idiopathic pulmonary fibrosis by using fuzzy logic Fuzzy logicIdiopathic pulmonary fibrosisRespiratory function testsRespiratory mechanicsTomographyX-ray computed OBJECTIVE: To set out a severity classification for idiopathic pulmonary fibrosis (IPF) based on the interaction of pulmonary function parameters with high resolution computed tomography (CT) findings. INTRODUCTION: Despite the contribution of functional and radiological methods in the study of IPF, there are few classification proposals for the disease based on these examinations. METHODS: A cross-sectional study was carried out, in which 41 non-smoking patients with IPF were evaluated. The following high resolution CT findings were quantified using a semi-quantitative scoring system: reticular abnormality, honeycombing and ground-glass opacity. The functional variables were measured by spirometry, forced oscillation technique, helium dilution method, as well as the single-breath method of diffusing capacity of carbon monoxide. With the interaction between functional indexes and high resolution CT scores through fuzzy logic, a classification for IPF has been built. RESULTS: Out of 41 patients studied, 26 were male and 15 female, with a mean age of 70.8 years. Volume measurements were the variables which showed the best interaction with the disease extension on high resolution CT, while the forced vital capacity showed the lowest estimative errors in comparison to total lung capacity. A classification for IPF was suggested based on the 95% confidence interval of the forced vital capacity %: mild group (>92.7); moderately mild (76.9-92.6); moderate (64.3-76.8%); moderately severe (47.1-64.2); severe (24.3-47.0); and very severe (Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo2011-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/clinics/article/view/1952010.1590/S1807-59322011000600016Clinics; Vol. 66 No. 6 (2011); 1015-1019 Clinics; v. 66 n. 6 (2011); 1015-1019 Clinics; Vol. 66 Núm. 6 (2011); 1015-1019 1980-53221807-5932reponame:Clinicsinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/clinics/article/view/19520/21583Lopes, Agnaldo JoséCapone, DomenicoMogami, RobertoLanzillotti, Regina SerrãoMelo, Pedro Lopes deJansen, José Manoelinfo:eu-repo/semantics/openAccess2012-05-23T16:46:20Zoai:revistas.usp.br:article/19520Revistahttps://www.revistas.usp.br/clinicsPUBhttps://www.revistas.usp.br/clinics/oai||clinics@hc.fm.usp.br1980-53221807-5932opendoar:2012-05-23T16:46:20Clinics - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Severity classification for idiopathic pulmonary fibrosis by using fuzzy logic |
title |
Severity classification for idiopathic pulmonary fibrosis by using fuzzy logic |
spellingShingle |
Severity classification for idiopathic pulmonary fibrosis by using fuzzy logic Lopes, Agnaldo José Fuzzy logic Idiopathic pulmonary fibrosis Respiratory function tests Respiratory mechanics Tomography X-ray computed |
title_short |
Severity classification for idiopathic pulmonary fibrosis by using fuzzy logic |
title_full |
Severity classification for idiopathic pulmonary fibrosis by using fuzzy logic |
title_fullStr |
Severity classification for idiopathic pulmonary fibrosis by using fuzzy logic |
title_full_unstemmed |
Severity classification for idiopathic pulmonary fibrosis by using fuzzy logic |
title_sort |
Severity classification for idiopathic pulmonary fibrosis by using fuzzy logic |
author |
Lopes, Agnaldo José |
author_facet |
Lopes, Agnaldo José Capone, Domenico Mogami, Roberto Lanzillotti, Regina Serrão Melo, Pedro Lopes de Jansen, José Manoel |
author_role |
author |
author2 |
Capone, Domenico Mogami, Roberto Lanzillotti, Regina Serrão Melo, Pedro Lopes de Jansen, José Manoel |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Lopes, Agnaldo José Capone, Domenico Mogami, Roberto Lanzillotti, Regina Serrão Melo, Pedro Lopes de Jansen, José Manoel |
dc.subject.por.fl_str_mv |
Fuzzy logic Idiopathic pulmonary fibrosis Respiratory function tests Respiratory mechanics Tomography X-ray computed |
topic |
Fuzzy logic Idiopathic pulmonary fibrosis Respiratory function tests Respiratory mechanics Tomography X-ray computed |
description |
OBJECTIVE: To set out a severity classification for idiopathic pulmonary fibrosis (IPF) based on the interaction of pulmonary function parameters with high resolution computed tomography (CT) findings. INTRODUCTION: Despite the contribution of functional and radiological methods in the study of IPF, there are few classification proposals for the disease based on these examinations. METHODS: A cross-sectional study was carried out, in which 41 non-smoking patients with IPF were evaluated. The following high resolution CT findings were quantified using a semi-quantitative scoring system: reticular abnormality, honeycombing and ground-glass opacity. The functional variables were measured by spirometry, forced oscillation technique, helium dilution method, as well as the single-breath method of diffusing capacity of carbon monoxide. With the interaction between functional indexes and high resolution CT scores through fuzzy logic, a classification for IPF has been built. RESULTS: Out of 41 patients studied, 26 were male and 15 female, with a mean age of 70.8 years. Volume measurements were the variables which showed the best interaction with the disease extension on high resolution CT, while the forced vital capacity showed the lowest estimative errors in comparison to total lung capacity. A classification for IPF was suggested based on the 95% confidence interval of the forced vital capacity %: mild group (>92.7); moderately mild (76.9-92.6); moderate (64.3-76.8%); moderately severe (47.1-64.2); severe (24.3-47.0); and very severe ( |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/clinics/article/view/19520 10.1590/S1807-59322011000600016 |
url |
https://www.revistas.usp.br/clinics/article/view/19520 |
identifier_str_mv |
10.1590/S1807-59322011000600016 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/clinics/article/view/19520/21583 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo |
publisher.none.fl_str_mv |
Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo |
dc.source.none.fl_str_mv |
Clinics; Vol. 66 No. 6 (2011); 1015-1019 Clinics; v. 66 n. 6 (2011); 1015-1019 Clinics; Vol. 66 Núm. 6 (2011); 1015-1019 1980-5322 1807-5932 reponame:Clinics instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Clinics |
collection |
Clinics |
repository.name.fl_str_mv |
Clinics - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
||clinics@hc.fm.usp.br |
_version_ |
1800222757718327296 |