27 research outputs found

    Three-Dimensional Analysis of Round Window Membrane in the Chinchilla Model with Acute Otitis Media Induced with Streptococcus Pneumoniae 7F

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    Objective:The purpose of this study was to investigate the morphological changes of round window membrane (RWM) in chinchillas with Streptococcus pneumoniae (S. pneumoniae) serotype 7F induced acute otitis media (AOM) by two dimensional (2D) and three dimensional (3D) measurements.Methods:Temporal bone specimens taken from 12 chinchillas were divided into two groups. The control group consisted of healthy animals that were injected with intrabullar saline. The subjects in the experimental group were induced with AOM by intrabullar injection of S. pneumoniae 7F. The 2D and 3D measurements of RWM were compared between the groups.Results:Dramatic changes were noted in the RWM of the experimental group compared to the control group. The thickness [mean ± standard deviation (SD)] of the RWM was significantly (p<0.05) increased in the experimental group compared to the control group by 2D measurements taken at three different points of RWM. Moreover, 3D measurements revealed that the volume (mean ± SD) of RWM was significantly (p=0.009) increased in the experimental group.Conclusion:The results of our study, which indicated significant change in RWM in both 2D and 3D measurements, may shed light on the relationship between AOM and inner ear diseases. Based on our results, we recommend evaluating 3D analyses of RWM, which provide useful data, to better understand the changes in the membrane

    Kangal Köpeğinde Korneal Dermoid Olgusunun Süperfisial Keratektomi ile Sağaltımı

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

    Kangal Köpeğinde Korneal Dermoid Olgusunun Süperfisial Keratektomi ile Sağaltımı

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    Altı aylık, 46 kg agırlıgında, disi bir kangal köpegi; sag gözünde dogmasal gözyası akıntısı, sürekli büyüyen veuzayan kıl yumagı sikayeti ile klinigimize getirildi. Olguya yapılan klinik muayene sonunda kronik epifora vekonjunktivaların hiperemisine neden olan, saat 8-11 pozisyonunda lateral kantus hizasında yerlesik korneal dermoidtanısı kondu. Korneal dermoid süperfisial keratektomi ile uzaklastırıldıktan sonra olusan korneal lezyonun iyilesmesiiçin konjunktival pedikül greft uygulandı. Postoperatif 15. gün yapılan muayenede epitelizasyonun tamamlandıgı gözlendi.Anahtar Kelimeler: Kangal köpegi, keratektomi, korneal dermoid.A six month-old, weighing 46 kg, female kangal dog with an abnormal appearance of the right eye,observed after birth was presented to our clinics. On opthalmic examination, the right eye revealed chronic epiphoraand hyperemia in conjuctiva of the latheral canthus in the direction of 8-11 o’clock due to corneal dermoid. Conjunctivalpedigli graft was applied after removing the corneal dermoid by superficial keratectomy for healing of the corneallesion. It was observed that the epithelisation is complate on the 15th day of post operation.Key Words: Corneal dermoid, kangal dog, keratectomy.</p
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