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Development of an automatic identification algorithm for antibiogram analysis

2015Artigo científico Acesso aberto
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dc.contributor.authorCosta, Luan F. R.
dc.contributor.authorSilva, Eduardo S. da
dc.contributor.authorNoronha, Victor T.
dc.contributor.authorVaz-Moreira, Ivone
dc.contributor.authorNunes, Olga C.
dc.contributor.authorAndrade, Marcelino M. de
dc.date.accessioned2018-08-20T10:19:00Z
dc.date.available2018-08-20T10:19:00Z
dc.date.issued2015
dc.description.abstractRoutinely, diagnostic and microbiology laboratories perform antibiogram analysis which can present some difficulties leading to misreadings and intra and inter-reader deviations. An Automatic Identification Algorithm (AIA) has been proposed as a solution to overcome some issues associated with the disc diffusion method, which is the main goal of this work. AIA allows automatic scanning of inhibition zones obtained by antibiograms. More than 60 environmental isolates were tested using susceptibility tests which were performed for 12 different antibiotics for a total of 756 readings. Plate images were acquired and classified as standard or oddity. The inhibition zones were measured using the AIA and results were compared with reference method (human reading), using weighted kappa index and statistical analysis to evaluate, respectively, inter-reader agreement and correlation between AIA-based and human-based reading. Agreements were observed in 88% cases and 89% of the tests showed no difference or a o4 mm difference between AIA and human analysis, exhibiting a correlation index of 0.85 for all images, 0.90 for standards and 0.80 for oddities with no significant difference between automatic and manual method. AIA resolved some reading problems such as overlapping inhibition zones, imperfect microorganism seeding, non-homogeneity of the circumference, partial action of the antimicrobial, and formation of a second halo of inhibition. Furthermore, AIA proved to overcome some of the limitations observed in other automatic methods. Therefore, AIA may be a practical tool for automated reading of antibiograms in diagnostic and microbiology laboratoriespt_PT
dc.description.versioninfo:eu-repo/semantics/acceptedVersionpt_PT
dc.identifier.citationCosta, L.F.R., Silva, E.S, Noronha, V.T., Vaz-Moreira, I., Nunes, O.C., Andrade, M.M. (2015) Development of an automatic identification algorithm for antibiogram analysis. Computers in Biology and Medicine 67, 104–115.pt_PT
dc.identifier.doi10.1016/j.compbiomed.2015.09.020pt_PT
dc.identifier.eid84945129421
dc.identifier.issn0010-4825
dc.identifier.pmid26513468
dc.identifier.urihttp://hdl.handle.net/10400.14/25558
dc.identifier.wos000366766100011
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherPergamon-Elsevier Science LTD
dc.relation205058/2012-4
dc.relation204833/2012-4
dc.relation238670/2012-0
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAntibiogrampt_PT
dc.subjectAutomatic measuringpt_PT
dc.subjectDiscs labelspt_PT
dc.subjectInhibition zonept_PT
dc.subjectDisc diffusion methodpt_PT
dc.titleDevelopment of an automatic identification algorithm for antibiogram analysispt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBPD%2F87360%2F2012/PT
oaire.citation.endPage115pt_PT
oaire.citation.startPage104pt_PT
oaire.citation.titleComputers in Biology and Medicinept_PT
oaire.citation.volume67
oaire.fundingStreamSFRH
person.familyNameSantos da Silva
person.familyNameNoronha
person.familyNameVaz-Moreira
person.familyNameNunes
person.familyNameAndrade
person.givenNameEduardo
person.givenNameVictor
person.givenNameIvone
person.givenNameOlga
person.givenNameMarcelino
person.identifier602434
person.identifier.ciencia-id9E17-544E-800D
person.identifier.ciencia-idBA14-BD30-C9AF
person.identifier.orcid0000-0003-0247-9505
person.identifier.orcid0000-0002-9643-5812
person.identifier.orcid0000-0001-8912-9836
person.identifier.orcid0000-0003-4742-2537
person.identifier.orcid0000-0001-8834-8957
person.identifier.ridR-4401-2018
person.identifier.scopus-author-id57194538809
person.identifier.scopus-author-id16044425800
person.identifier.scopus-author-id7005088596
person.identifier.scopus-author-id16174575100
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication8116979a-b32a-40bc-8a83-ca74284ccd89
relation.isAuthorOfPublication081264d6-9d57-4f27-92c3-4f21c0ab5491
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