47 research outputs found

    Parâmetros biomecânicos derivados da forma da curva do ORA para discriminar olhos normais de ceratocones

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    PURPOSE: To evaluate the ability of the Ocular Response Analyzer (ORA; Reichert Ophthalmic Instruments, Buffalo, NY) to distinguish between normal and keratoconic eyes, by comparing pressure and waveform signal-derived parameters. METHODS: This retrospective comparative case series study included 112 patients with normal corneas and 41 patients with bilateral keratoconic eyes. One eye from each subject was randomly selected for analysis. Keratoconus diagnosis was based on clinical examinations, including Placido disk-based corneal topography and rotating Scheimpflug corneal tomography. Data from the ORA best waveform score (WS) measurements were extracted using ORA software. Corneal hysteresis (CH), corneal resistance factor (CRF), Goldman-correlated intraocular pressure (IOPg), cornea-compensated intraocular pressure (IOPcc), and 37 parameters derived from the waveform signal were analyzed. Differences in the distributions among the groups were assessed using the Mann-Whitney test. Receiver operating characteristic (ROC) curves were calculated. RESULTS: Statistically significant differences between keratoconic and normal eyes were found in all parameters (p<0.05) except IOPcc and W1. The area under the ROC curve (AUROC) was greater than 0.85 for 11 parameters, including CH (0.852) and CRF (0.895). The parameters related to the area under the waveform peak during the second and first applanations (p2area and p1area) had the best performances, with AUROCs of 0.939 and 0.929, respectively. The AUROCs for CRF, p2area, and p1area were significantly greater than that for CH. CONCLUSION: There are significant differences in biomechanical metrics between normal and keratoconic eyes. Compared with the pressure-derived parameters, corneal hysteresis and corneal resistance factor, novel waveform-derived ORA parameters provide better identification of keratoconus.OBJETIVO: Avaliar a capacidade do Ocular Response Analyzer (ORA; Reichert Ophthalmic Instruments, Buffalo, NY) em discriminar olhos com ceratocone de olhos normais e comparar parâmetros derivados da pressão dos parâmetros derivados da forma da curva. MÉTODOS:Estudo comparativo retrospectivo série de casos que incluiu 112 pacientes com olhos normais e 41 pacientes com ceratocone bilateral. Um olho de cada indivíduo foi randomicamente selecionado para análise. O diagnóstico de ceratocone foi baseado em exame clínico, incluindo topografia de Plácido e tomografia Scheimpflug. Informação do melhor waveform score foi extraída do software do ORA. Histerese corneana (CH), fator de resistência corneana (CRF), pressão intraocular correlacionada com Goldman (IOPg), pressão intraocular compensada pela córnea (IOPcc) e 37 novos parâmetros derivados da forma da curva do sinal do ORA foram analisados. Diferenças nas distribuições dos grupos foram avaliadas pelo teste Mann-Whitney. Curvas ROC foram calculadas. RESULTADOS: Diferenças estatisticamente significantes foram encontradas entre os olhos normais e ceratocones em todos os parâmetros (p<0,05) salvo IOPcc e W1. A área sob a curva ROC (AUROC) foi maior que 0.85 em 11 parâmetros, incluindo CH (0,852) a CRF (0,895). Os parâmetros relacionados com a área sob o pico da forma de onda durante a segunda e primeira aplanação (p2area e p1area) obtiveram as melhores performances, com AUROCs de 0,939 e 0,929, respectivamente. Os valores de AUROCs do fator de resistência corneana, p2area e p1area foram significativamente maiores que os valores de histerese corneana. CONCLUSÃO: Existem diferenças significantes nas medidas biomecânicas entre olhos normais e com ceratocone. Comparados com os parâmetros derivados da pressão, histerese corneana e fator de resistência corneana, os parâmetros derivados da forma da curva proporcionaram melhor identificação dos ceratocones.Universidade Federal de São Paulo (UNIFESP) Department for OphthalmologyHospital de Olhos de SergipeInstituto de Olhos Renato AmbrósioUNIFESP, Department for OphthalmologySciEL

    Técnica para diagnosticar o ceratocone

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    PURPOSE: To test whether corneal hysteresis (CH) and corneal resistance factor (CRF) can discriminate between keratoconus and normal eyes and to evaluate whether the averages of two consecutive measurements perform differently from the one with the best waveform score (WS) for diagnosing keratoconus. METHODS: ORA measurements for one eye per individual were selected randomly from 53 normal patients and from 27 patients with keratoconus. Two groups were considered the average (CH-Avg, CRF-Avg) and best waveform score (CH-WS, CRF-WS) groups. The Mann-Whitney U-test was used to evaluate whether the variables had similar distributions in the Normal and Keratoconus groups. Receiver operating characteristics (ROC) curves were calculated for each parameter to assess the efficacy for diagnosing keratoconus and the same obtained for each variable were compared pairwise using the Hanley-McNeil test. RESULTS: The CH-Avg, CRF-Avg, CH-WS and CRF-WS differed significantly between the normal and keratoconus groups (p<0.001). The areas under the ROC curve (AUROC) for CH-Avg, CRF-Avg, CH-WS, and CRF-WS were 0.824, 0.873, 0.891, and 0.931, respectively. CH-WS and CRF-WS had significantly better AUROCs than CH-Avg and CRF-Avg, respectively (p=0.001 and 0.002). CONCLUSION: The analysis of the biomechanical properties of the cornea through the ORA method has proved to be an important aid in the diagnosis of keratoconus, regardless of the method used. The best waveform score (WS) measurements were superior to the average of consecutive ORA measurements for diagnosing keratoconus.OBJETIVO: Testar se a histerese corneana (CH) e o fator de resistência corneano (CRF) podem discriminar olhos com ceratocone e avaliar se a média de duas medidas consecutivas apresenta desempenho diferente da medida única com a melhor waveform score para diagnósticar o ceratocone. MÉTODOS: Foram realizadas medidas do ORA de um olho por indivíduo, selecionados aleatoriamente a partir de 53 pacientes normais e de 27 pacientes com ceratocone. Dois grupos foram considerados: a média (CH-médio, o CRF-médio) e melhor waveform score (CH-WS, CRF-WS). O teste de Mann-Whitney U-teste foi utilizado para avaliar se as variáveis apresentaram distribuições semelhantes entre os grupos. As curvas (ROC) foram calculadas para cada parâmetro para avaliar eficácia no diagnóstico e as obtidas para cada variável foram comparadas usando o teste de Hanley-McNeil. RESULTADOS: CH-médio, CRF-médio, CH-WS e CRF-WS diferiram significativamente entre os grupos (p<0,001). Já as áreas sob a curva ROC para CH-médio, CRF-médio, CH-WS, e CRF-WS foram 0,824, 0,873, 0,891, 0,931, respectivamente. CH-WS e CRF-WS obtiveram AUROCs significativamente melhores do que CH-médio e CRF-médio (p=0,001 e 0,002). CONCLUSÃO: A análise das propriedades biomecânicas da córnea através do ORA demonstrou ser um método auxiliar importante no diagnóstico de ceratocone, independente do método utilizado. As melhores medidas waveform score foram superiores à média das medições consecutivas para o diagnóstico de ceratocone.Universidade Federal de São Paulo (UNIFESP) Department for ophthalmologyHospital de Olhos de SergipeRio de Janeiro Corneal Tomography and Biomechanics Study GroupInstituto de Olhos Renato AmbrósioUNIFESP, Department for ophthalmologySciEL

    Corneal Biomechanics in Ectatic Diseases: Refractive Surgery Implications.

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    BACKGROUND: Ectasia development occurs due to a chronic corneal biomechanical decompensation or weakness, resulting in stromal thinning and corneal protrusion. This leads to corneal steepening, increase in astigmatism, and irregularity. In corneal refractive surgery, the detection of mild forms of ectasia pre-operatively is essential to avoid post-operative progressive ectasia, which also depends on the impact of the procedure on the cornea. METHOD: The advent of 3D tomography is proven as a significant advancement to further characterize corneal shape beyond front surface topography, which is still relevant. While screening tests for ectasia had been limited to corneal shape (geometry) assessment, clinical biomechanical assessment has been possible since the introduction of the Ocular Response Analyzer (Reichert Ophthalmic Instruments, Buffalo, USA) in 2005 and the Corvis ST (Oculus Optikgerate GmbH, Wetzlar, Germany) in 2010. Direct clinical biomechanical evaluation is recognized as paramount, especially in detection of mild ectatic cases and characterization of the susceptibility for ectasia progression for any cornea. CONCLUSIONS: The purpose of this review is to describe the current state of clinical evaluation of corneal biomechanics, focusing on the most recent advances of commercially available instruments and also on future developments, such as Brillouin microscopy.(undefined)info:eu-repo/semantics/publishedVersio

    Hyperopia after radial keratotomy: fluctuation of refraction and visual acuity from morning to evening and correlations with intraocular pressure and corneal biomechanics

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    Purpose: To verify the morning to evening variations of refraction, visual acuity, intraocular pressure and biomechanical parameters on patients operated by radial keratotomy who presented for refractive re-treatments; and to correlate the biomechanical parameters with refraction, visual acuity and their variations among morning and evening. Methods: 19 patients were examined, respectively thirty-eight eyes in the morning (9 am) and evening (6 pm), recording sphere-cylindrical dynamic refraction, visual acuity (logMAR) without correction (AVsc) and corrected (AVcc) and ORA (Ocular Response Analyzer) parameters: corneal hysteresis (CH), corneal resistance factor (CRF), intraocular pressure calibrated for Goldmann (IOPg) e corneal compensated (IOPcc). Variables had no normal distribution (Kolmogorov-Smirnov test), so that the Wilcoxon signed rank was used for testing the significance on the differences for each variable between morning and afternoon. The Spearman test was used for assessing the correlations between the ORA parameters and refraction, visual acuity in the morning and afternoon, as well as to verify the correlations between the ORA parameters and the variations on refraction and visual acuity. Results: Sphere (E), spherical equivalent (EE), defocus equivalent (ED), AVsc, IOPcc e IOPg varied significantly (Wilcoxon, p<0.05) between morning and evening. There was more hyperopia, worse visual acuity, higher pressure and lower CH in the morning measurements. In the morning measurements, there was a positive correlation (Spearman, p<0.05) between EE and ED and IOPcc (rs=0.39 and 0.34 respectively), but not with IOPg. In the evening measurement, there were no correlations between the refractive and pressure measurements. Negative correlations were observed (Spearman, p<0.05) between AVsc (logMAR) and CH in the morning and in the evening (rs=-0.48 e rs=-0,51), between E and CH in the morning and in the evening (rs=-0.66 and -0.76), between E and CRF in the morning and in the evening (rs=-0.40 and -0.47), between EE and CH in the morning and in the evening (rs=-0.70 and -0.68), between EE and CRF in the morning and in the evening (rs=-0.41 and -0.46), between ED and CH in the morning and in the evening (rs=-0.64 and -0.54) and between ED and CRF in the morning and in the evening (rs=-0.35 and -0.34). There was a significant negative correlation between the morning measurement of CRF and the variation of defocus equivalent (p = 0.05; rs = -0.30) and the variation of AVsc (p = 0.04; rs = -0.33). Conclusion: More hyperopia was recorded in the morning which was associated with higher compensated pressure (IOPcc) but not with IOPg ten years after RK. Lower biomechanical parameters (CRF e CH) were associated with higher hyperopia and worse visual acuity. A trend was observed for having higher fluctuation on weaker corneas. New studies involving the variables derived from the waveform signals, beyond CH and CRF (derived from the applanation pressures) along with data from corneal tomography and wavefront aberrometry are necessary.Cornea Rio de Janeiro, Grp Estudos Tomog & Biomecan, Rio De Janeiro, BrazilUniv Fed Sao Paulo, Sao Paulo, BrazilUniv Fed Fluminense, Dept Estat, BR-24220000 Niteroi, RJ, BrazilUniv Fed Sao Paulo, Sao Paulo, BrazilWeb of Scienc

    Campos de Calibre e o Modelo Padrão de Partículas Elementares: uma revisão pedagógica

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    O campo de calibre SU(3)SU(3) do Modelo Padrão (MP) tem sido motivação para uma variedade de estudos. O presente artigo abordará alguns aspectos teóricos da simetria SU(3)SU(3) no cenário do MP. Serão apresentados o campo de calibre U(1)U(1), assim como o campo interação forte. A exibição destes campos serão realizados com o máximo de detalhes possíveis, tratando das respectivas lagrangianas referente a cada um destes

    Morphological, biological and molecular characterization of three strains of Trypanosoma cruzi Chagas, 1909 (Kinetoplastida, Trypanosomatidae) isolated from Triatoma sordida (Stal) 1859 (Hemiptera, Reduviidae) and a domestic cat

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    A study was conducted of the biological, morphological and molecular characters of 3 strains of Trypanosoma cruzi (SI5, SI8 and SIGR3) isolated from specimens of Triatoma sordida collected in Santo Inácio and a domestic cat. In order to carry out the study, the following parameters were evaluated: pre-patent period, parasitaemia curves, morphology of the parasites, mortality rates, histopathological lesions and molecular typing. The strains presented variable pre-patent periods, low parasitaemia and no animal mortality. The morphological study of trypomastigotes showed a predominance of intermediate-width and short-length forms, as well as low nuclear index. Epimastigotes presented a low nuclear index, intermediate-width forms in strains SI5 and SI8, and large-width forms in SIGR3. A shorter length could be noted in strains SI8 and SIGR3, whereas SI5 displayed an intermediate length. The histopathological study did not detect amastigote nests in tissues. The amplification of the divergent domain of 24Sα rRNA, HSP60 and GPI genes of strains SI5, SI8 and SIGR3 classified the 3 strains into Group II. Biological parameters made it possible to classify the strains isolated in Santo Inácio (BA) into Biodeme III, Zymodeme 1 and Group II of T. cruzi
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