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1.
Skin Res Technol ; 28(2): 299-304, 2022 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-35064590

RESUMO

BACKGROUND: Human skin color, predominantly determined by the chromophores of melanin, hemoglobin, and exogenous carotenoids, is often measured to serve various medical and cosmetic applications. Although colorimetry has been used to evaluate the skin erythema in allergic dogs, the native canine skin color remains unknown. METHODS: We measured the skin color in 101 healthy dogs using a calibrated optical system with a smartphone and a mobile dermatoscope DermLite DL1. The results were retrieved in the CIELAB color system and compared to the human color ranges. RESULTS: The lightness (L*) of canine skin ranged from 28.5 to 78.3, which is slightly broader than that of human skin. There was a difference of 3.9 in redness (a*) between canine and human skin, but this variation could be attributed to the similarly valued colorimetric error of the optical system. Nonetheless, the skin yellowness was significantly different for dogs and humans (respective median b* of 12.3 versus 16.6, p < 0.01). This difference might be due to canids not being able to accumulate typically yellowish carotenoids. Furthermore, the native canine skin color did not exhibit a typical dependence between the coordinates of lightness (L*) and yellowness (b*), known as the individual typology angle, °ITA. CONCLUSION: We reported the first dataset of the native canine skin color in the CIELAB color space. We discovered a similarity in skin lightness and a difference in skin yellowness. However, further studies are needed for a more precise comparison of skin redness.


Assuntos
Dermoscopia , Pigmentação da Pele , Animais , Cor , Colorimetria/métodos , Cães , Eritema , Humanos , Pele/diagnóstico por imagem , Smartphone
2.
Antibiotics (Basel) ; 10(10)2021 Sep 24.
Artigo em Inglês | MEDLINE | ID: mdl-34680741

RESUMO

Antibiotics are frequently used for treating urinary tract infections (UTI) in dogs and cats. UTI often requires time-consuming and expensive antimicrobial susceptibility testing (AST). Alternatively, clinicians can employ Flexicult Vet, an affordable chromogenic agar with added antibiotics for in-clinic AST. We investigated how well veterinary microbiologists and clinicians, without any prior experience, employ Flexicult Vet for the identification and AST of the most common canine and feline urinary pathogenic bacteria. We prepared 47 monoculture plates containing 10 bacterial species. The test's mean accuracy was 75.1% for bacteria identification (84.6% and 68.7% for microbiologists and clinicians, respectively) and 79.2% for AST (80.7% and 78.2%). All evaluators employed Flexicult Vet with the accuracies over 90% for the distinctively colored bacteria like Escherichia coli (red), Enterococcus faecalis (turquoise), and Proteus spp. (pale brown). However, the evaluators' experience proved important in recognizing lightly colored bacteria like Staphylococcus pseudintermedius (accuracies of 82.6% and 40.3%). Misidentifications of E. faecium additionally worsened AST performance since bacterial intrinsic resistance could not be considered. Finally, only 33.3% (3/9) of methicillin-resistant S. pseudintermedius (MRSP) were correctly detected. To conclude, Flexicult Vet proved reliable for certain urinary pathogens. In contrast, light-colored bacteria (e.g., Staphylococcus), often misidentified, require a standard AST.

3.
Sensors (Basel) ; 21(4)2021 Feb 11.
Artigo em Inglês | MEDLINE | ID: mdl-33670225

RESUMO

The regular monitoring of erythema, one of the most important skin lesions in atopic (allergic) dogs, is essential for successful anti-allergic therapy. The smartphone-based dermatoscopy enables a convenient way to acquire quality images of erythematous skin. However, the image sampling to evaluate erythema severity is still done manually, introducing result variability. In this study, we investigated the correlation between the most popular erythema indices (EIs) and dermatologists' erythema perception, and we measured intra- and inter-rater variability of the currently-used manual image-sampling methods (ISMs). We showed that the EIBRG, based on all three RGB (red, green, and blue) channels, performed the best with an average Spearman coefficient of 0.75 and a typical absolute disagreement of less than 14% with the erythema assessed by clinicians. On the other hand, two image-sampling methods, based on either selecting specific pixels or small skin areas, performed similarly well. They achieved high intra- and inter-rater reliability with the intraclass correlation coefficient (ICC) and Krippendorff's alpha well above 0.90. These results indicated that smartphone-based dermatoscopy could be a convenient and precise way to evaluate skin erythema severity. However, better outlined, or even automated ISMs, are likely to improve the intra- and inter-rater reliability in severe erythematous cases.


Assuntos
Doenças do Cão/diagnóstico por imagem , Eritema/veterinária , Interpretação de Imagem Assistida por Computador , Pele/diagnóstico por imagem , Animais , Cães , Eritema/diagnóstico por imagem , Reprodutibilidade dos Testes , Índice de Gravidade de Doença , Manejo de Espécimes
4.
Sensors (Basel) ; 20(21)2020 Oct 31.
Artigo em Inglês | MEDLINE | ID: mdl-33142901

RESUMO

Quality smartphone cameras and affordable dermatoscopes have enabled teledermoscopy to become a popular medical and veterinary tool for analyzing skin lesions such as melanoma and erythema. However, smartphones acquire images in an unknown RGB color space, which prevents a standardized colorimetric skin analysis. In this work, we supplemented a typical veterinary teledermoscopy system with a conventional color calibration procedure, and we studied two mid-priced smartphones in evaluating native and erythematous canine skin color. In a laboratory setting with the ColorChecker, the teledermoscopy system reached CIELAB-based color differences ΔE of 1.8-6.6 (CIE76) and 1.1-4.5 (CIE94). Intra- and inter-smartphone variability resulted in the color differences (CIE76) of 0.1, and 2.0-3.9, depending on the selected color range. Preliminary clinical measurements showed that canine skin is less red and yellow (lower a* and b* for ΔE of 10.7) than standard Caucasian human skin. Estimating the severity of skin erythema with an erythema index led to errors between 0.5-3%. After constructing a color calibration model for each smartphone, we expedited clinical measurements without losing colorimetric accuracy by introducing a simple image normalization on a white standard. To conclude, the calibrated teledermoscopy system is fast and accurate enough for various colorimetric applications in veterinary dermatology.


Assuntos
Dermoscopia/instrumentação , Eritema/veterinária , Pele/diagnóstico por imagem , Smartphone , Animais , Cor , Doenças do Cão/diagnóstico por imagem , Cães , Eritema/diagnóstico por imagem , Humanos , Melanoma/diagnóstico por imagem , Melanoma/veterinária
5.
Physiol Meas ; 40(1): 01NT02, 2019 01 23.
Artigo em Inglês | MEDLINE | ID: mdl-30524092

RESUMO

OBJECTIVE: Photoplethysmography (PPG) is an increasingly popular health and well-being tool for monitoring heart rate and oxygen saturation. Due to the pigmentation and hairiness of dogs and cats, a pulse oximeter is routinely placed solely on the tongue. As this approach is feasible only for pet monitor use during surgical procedures, we investigate PPG signal quality on several other measurement sites that would be better tolerated by conscious animals. APPROACH: Acquired PPG signals are analyzed by four signal quality indices: mean baseline, signal power, kurtosis, and tolerance score. MAIN RESULTS: In dogs, the metacarpus and tail can be substituted for oral pulse oximeter placement since both measurement sites exhibited high PPG signal kurtosis and were considered well-tolerated. In cats, the digit could be used with some limitations. SIGNIFICANCE: Pet monitors with pulse oximeter probes adjusted to promising measurement sites could enable veterinarians and owners to monitor animals when fully awake.


Assuntos
Animais de Estimação , Fotopletismografia/métodos , Animais , Gatos , Cães , Processamento de Sinais Assistido por Computador
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