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A lung image reconstruction from computed radiography images as a tool to tuberculosis treatment control

dc.contributor.authorOliveira, Marcela de [UNESP]
dc.contributor.authorDuarte, Sergio Barbosa
dc.contributor.authorGiacomini, Guilherme [UNESP]
dc.contributor.authorMarques Pereira, Paulo Camara [UNESP]
dc.contributor.authorSouza, Lenice do Rosario de [UNESP]
dc.contributor.authorArruda Miranda, Jose Ricardo de [UNESP]
dc.contributor.authorPina, Diana Rodrigues de [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionCtr Brasileiro Pesquisas Fis
dc.date.accessioned2019-10-04T12:35:34Z
dc.date.available2019-10-04T12:35:34Z
dc.date.issued2019-02-14
dc.description.abstractBackground: Tuberculosis (TB) is an infectious lung disease with high worldwide incidence that severely compromises the quality of life in affected individuals. Clinical tests are currently employed to monitor pulmonary status and treatment progression. The present study aimed to apply a three-dimensional (3D) reconstruction method based on chest radiography to quantify lung-involvement volume of TB acute-phase patients before and after treatment. In addition, these results were compared with indices from conventional clinical exams to show the coincidence level. Methods: A 3D lung reconstruction method using patient chest radiography was applied to quantify lung-involvement volume using retrospective examinations of 50 patients who were diagnosed with pulmonary TB and treated with two different drugs schemes. Twenty-five patients were treated with Scheme I (rifampicin, isoniazid, and pyrazinamide), whereas twenty-five patients were treated with Scheme II (rifampicin, isoniazid, pyrazinamide, and ethambutol). Acute-phase reaction: Serum exams included C-reactive protein levels, erythrocyte sedimentation rate, and albumin levels. Pulmonary function was tested posttreatment. Results: We found strong agreement between lung involvement and serum indices pre- and posttreatment. Comparison of the functional severity degree with lung involvement based on 3D image quantification for both treatment schemes found a high correlation. Conclusions: The present 3D reconstruction method produced a satisfactory agreement with the acute-phase reaction, most notably a higher significance level with the C-reactive protein. We also found a quite reasonable coincidence between the 3D reconstruction method and the degree of functional lung impairment posttreatment. The performance of the quantification method was satisfactory when comparing the two treatment schemes. Thus, the 3D reconstruction quantification method may be useful tools for monitoring TB treatment. The association with serum indices are not only inexpensive and sensitive but also may be incorporated into the assessment of patients during TB treatment.en
dc.description.affiliationUniv Estadual Paulista, Inst Biociencias Botucatu, Dept Fis & Biofis, Botucatu, SP, Brazil
dc.description.affiliationCtr Brasileiro Pesquisas Fis, Dept Altas Energias, Rio De Janeiro, RJ, Brazil
dc.description.affiliationUniv Estadual Paulista, Fac Med Botucatu, Dept Doencas Tropicais & Diagnost Imagem, Botucatu, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Inst Biociencias Botucatu, Dept Fis & Biofis, Botucatu, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Fac Med Botucatu, Dept Doencas Tropicais & Diagnost Imagem, Botucatu, SP, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipINCT-FNA
dc.description.sponsorshipIdFAPESP: 2015/01948-3
dc.description.sponsorshipIdCAPES: 3/2016
dc.description.sponsorshipIdCAPES: 0722/2017
dc.description.sponsorshipIdCAPES: 88881.142062/2017-01
dc.description.sponsorshipIdCNPq: 18/2018
dc.description.sponsorshipIdCNPq: 404770/2018-5
dc.format.extent10
dc.identifierhttp://dx.doi.org/10.1590/1678-9199-JVATITD-1449-18
dc.identifier.citationJournal Of Venomous Animals And Toxins Including Tropical Diseases. London: Bmc, v. 25, 10 p., 2019.
dc.identifier.doi10.1590/1678-9199-JVATITD-1449-18
dc.identifier.fileS1678-91992019000100302.pdf
dc.identifier.issn1678-9199
dc.identifier.lattes5020559826568182
dc.identifier.scieloS1678-91992019000100302
dc.identifier.urihttp://hdl.handle.net/11449/185442
dc.identifier.wosWOS:000458925400001
dc.language.isoeng
dc.publisherBmc
dc.relation.ispartofJournal Of Venomous Animals And Toxins Including Tropical Diseases
dc.rights.accessRightsAcesso abertopt
dc.sourceWeb of Science
dc.subjectTuberculosis
dc.subjectQuantification
dc.subjectLung involvement
dc.subjectSerum tests
dc.subjectPulmonary function tests
dc.titleA lung image reconstruction from computed radiography images as a tool to tuberculosis treatment controlen
dc.typeArtigopt
dcterms.rightsHolderBmc
dspace.entity.typePublication
relation.isOrgUnitOfPublicationa3cdb24b-db92-40d9-b3af-2eacecf9f2ba
relation.isOrgUnitOfPublicationab63624f-c491-4ac7-bd2c-767f17ac838d
relation.isOrgUnitOfPublication.latestForDiscoverya3cdb24b-db92-40d9-b3af-2eacecf9f2ba
unesp.author.lattes5020559826568182[3]
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Medicina, Botucatupt
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências, Botucatupt
unesp.departmentDoenças Tropicais e Diagnósticos por Imagem - FMBpt
unesp.departmentFísica e Biofísica - IBBpt

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