Résumé
In this case, a 12-year-old female domestic cat with chronic renal failure (CRF), which had lived longer than the mean survival time for cats with that condition, was monitored to evaluate the effects of treatment and mean gray value (MGV) changes. The cat has lived for nearly four years since the diagnosis. Probiotics have been used as an additional, classical supportive therapy since the beginning of treatment. The temporal changes in renal MGV were statistically evaluated in the last year of the four-year period. The cat had a comfortable existence and good body condition all her life and probiotic therapy may have had a positive influence post-CRF diagnosis. Ultrasonography (US) examination is a commonly used tool for monitoring the CRF situation, but it is not particularly sensitive. Therefore, MGV may be more useful for the quantitative evaluation of the extent of renal failure. Also, to the best of our knowledge, this is the first report for a long-term clinical evaluation of MGV in a cat with CRF. The aim of this case report was the evaluation of the relationship between MGV and clinical and biochemical changes in a cat with chronic renal failure.(AU)
No presente caso, uma gata doméstica de 12 anos com insuficiência renal crônica (IRC), que viveu mais do que o tempo médio de sobrevivência para gatos nessa condição, foi monitorada para avaliar os efeitos do tratamento e as alterações do valor cinza médio (MGV). A gata viveu quase quatro anos desde o diagnóstico. Os probióticos têm sido usados como uma terapia de suporte clássica adicional desde o início do tratamento. As alterações temporais do MGV renal foram avaliadas estatisticamente no último ano do período de quatro anos. A gata teve uma existência confortável e boas condições corporais durante toda a vida e a terapia com probióticos pode ter tido uma influência positiva após o diagnóstico de IRC. O exame de ultrassonografia (US) é uma ferramenta comumente usada para monitorar a situação da IRC, mas não é particularmente sensível. Portanto, o MGV pode ser mais útil para a avaliação quantitativa da extensão da insuficiência renal. Além disso, até onde se sabe, este é o primeiro relatório de uma avaliação clínica de longo prazo de MGV em um gato com IRC. O objetivo deste relato de caso foi avaliar a relação entre o MGV e as alterações clínicas e bioquímicas em um gato com insuficiência renal crônica.(AU)
Sujets)
Animaux , Chats , Pronostic , Probiotiques/usage thérapeutique , Insuffisance rénale chronique/thérapie , Insuffisance rénale chronique/médecine vétérinaire , Analyse de survieRésumé
Objective To investigate the application value of Photoshop in grading invasive risk of gastric stromal tumors (GSTs). Methods EUS image of 97 cases of GSTs confirmed by pathological and immunohistochemical examination were collected. GSTs were divided into four groups (very low risk, low risk, intermediate risk, high risk) by tumor size, mitotic count and rupture of tumor. Mean gray value (intensity of echo) and gray value standard deviation (uniformity of echo) of EUS images of the lesions were determined by Photoshop and then the differences of each group were found by statistical analysis. Results It is difficult to differentiate EUS images of GSTs from each group by visual observation. The mean gray value of EUS image of very low risk group,low risk group, intermediate risk group and high risk group of GSTs respectively were (56.54 ± 6.10), (59.20 ± 7.51), (77.77 ± 10.90) and (83.43 ± 12.47). There was no significant difference between very low risk group and low risk group (P > 0.05). There was no significant difference between intermediate risk group and high risk group (P > 0.05). In addition, the others all had significantly different from that of each group (P 0.05). In addition, the others all had significantly different from that of each group (P < 0.05). Conclusions The higher risk of GSTs, the higher of echo intensity and the worse of echo uniformity under EUS. Photoshop combined with EUS is helpful for differentiating different risk of GSTs by analyzing mean gray value and gray value standard deviation of the lesions.