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Use este identificador para citar ou linkar para este item: https://repositorio.ufba.br/handle/ri/5624
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dc.contributor.authorRossi, Eglas Emanuel-
dc.contributor.authorSilveira Jr, Landulfo-
dc.contributor.authorPinheiro, Antonio Luiz Barbosa-
dc.contributor.authorZamuner, Stella Regina-
dc.contributor.authorAimbire, Flávio-
dc.contributor.authorMaia, Mauricio-
dc.contributor.authorPacheco, Marcos Tadeu Tavares-
dc.creatorRossi, Eglas Emanuel-
dc.creatorSilveira Jr, Landulfo-
dc.creatorPinheiro, Antonio Luiz Barbosa-
dc.creatorZamuner, Stella Regina-
dc.creatorAimbire, Flávio-
dc.creatorMaia, Mauricio-
dc.creatorPacheco, Marcos Tadeu Tavares-
dc.date.accessioned2012-04-13T14:13:09Z-
dc.date.issued2010-
dc.identifier.issn0014-4835-
dc.identifier.urihttp://www.repositorio.ufba.br/ri/handle/ri/5624-
dc.descriptionAcesso restrito: Texto completo. p. 362-368.pt_BR
dc.description.abstractWe developed a diagnostic tool to differentiate between endophthalmitis and uveitis using Raman spectroscopy. Twenty-two New Zealand rabbits with endophthalmitis induced by Staphylococcus aureus (10 animals), noninfectious uveitis induced by lipopolysaccharide from Escherichia coli (10 animals) and controls (two animals) were analyzed. Twenty-four hours after the eyes were inoculated, iris tissue was dissected and subjected to dispersive Raman spectroscopy using an excitation source at 830 nm and a spectrograph/CCD camera to detect a Raman signal with an integration time of 50 s. With the collected spectra of endophthalmitis and uveitis, we developed a routine to classify spectra in each specimen using principal components analysis, using a leave-one-out cross-validation procedure. The mean Raman spectra of tissues with uveitis and endophthalmitis showed several bands in the region of 800e1800 cm 1, which have been attributed to nucleic acids, amino acids, proteins, and lipids. The bands at 1004, 1339, and 1555 cm 1 differed significantly (t-test, p < 0.05) between diseases. The principal components PC3 and PC4 differed significantly (ANOVA, p < 0.05) for the two tissue types, indicating that these PCs can be used to discriminate between the two diseases using Mahalanobis distance as a discriminator. This technique is useful for differentiating the spectral bands of uveitis and endophthalmitis, and the diagnostic model showed sensitivity of 89%, specificity of 100%, and accuracy of 92% using the leave-one-out cross-validation procedure. These results may be clinically relevant for differentiating endophthalmitis from uveitis, and this approach may become a noninvasive method to optimize the diagnosis of inflammatory and infectious vitreoretinal diseases.pt_BR
dc.language.isoenpt_BR
dc.sourceDOI: 10.1016/j.exer.2010.06.005pt_BR
dc.subjectRaman spectroscopypt_BR
dc.subjectirispt_BR
dc.subjectendophthalmitispt_BR
dc.subjectuveitispt_BR
dc.subjectdifferential diagnosispt_BR
dc.subjectprincipal components analysispt_BR
dc.subjectMahalanobis distancept_BR
dc.subjectdiscriminant analysispt_BR
dc.titleRaman spectroscopy for differential diagnosis of endophthalmitis and uveitis in rabbit iris in vitropt_BR
dc.title.alternativeEXPERIMENTAL EYE RESEARCHpt_BR
dc.typeArtigo de Periódicopt_BR
dc.identifier.numberv. 91, n. 3pt_BR
dc.embargo.liftdate10000-01-01-
Aparece nas coleções:Artigo Publicado em Periódico (Faculdade de Odontologia)

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