ABSTRACT
PURPOSE: Orbital exenteration is a psychologically and anatomically disfiguring procedure which indicated in some patients with malignant or progressive diseases of orbital and periorbital area. In this study, we reviewed 176 patients that underwent orbital exenteration. METHODS: This was a retrospective study of medical records from all patients who underwent orbital exenteration from March 1991 to March 2014 in oculoplastic department at an eye care center. Demographic data, diagnosis, site of primary involvement and technique of surgery were determined in patients. RESULTS: One hundred seventy-six cases of orbital exenteration were included that had documented histopathology. The age of patients ranged from 1 to 91 years (mean age ± standard deviation, 55.43 ± 27 years). Ninety-seven (55.11%) males and 79 (44.88%) females were included. Fifteen different tumors were identified. The most common indication was patients with basal cell carcinoma 49 (28%) followed by 41 (23.5%) squamous cell carcinomas, 35 (20%) retinoblastoma, and 13 (7%) adenoid cystic carcinomas. In total, adnexal malignancies were the most common tumors, secondarily involving the orbit. Eyelids 89 (50.5%) and the globe 43 (24%) were the most frequent site of involvement. Three types of exenteration were performed, based on available data of 129 operation sheets, 46 (35.7%) subtotal, 62 (48.1%) total, and 21 (16.3%) cases of extensive exenterations. In total 97 cases were evaluated pathologically for perineural involvement, of which perineural invasion was noted in 9 (7%) reports. CONCLUSIONS: Frequency of exenteration in our center has increased in past 3 years and the majority of cases were eyelid basal cell carcinoma. Patient education considering periocular lesions can help in earlier diagnosis of malignant lesions and therefore reducing the number of exenteration.
Subject(s)
Female , Humans , Male , Carcinoma, Adenoid Cystic , Carcinoma, Basal Cell , Carcinoma, Squamous Cell , Diagnosis , Eyelids , Medical Records , Orbit , Patient Education as Topic , Retinoblastoma , Retrospective StudiesABSTRACT
PURPOSE: To design software with a novel algorithm, which analyzes the tortuosity and vascular dilatation in fundal images of retinopathy of prematurity (ROP) patients with an acceptable accuracy for detecting plus disease. METHODS: Eighty-seven well-focused fundal images taken with RetCam were classified to three groups of plus, non-plus, and pre-plus by agreement between three ROP experts. Automated algorithms in this study were designed based on two methods: the curvature measure and distance transform for assessment of tortuosity and vascular dilatation, respectively as two major parameters of plus disease detection. RESULTS: Thirty-eight plus, 12 pre-plus, and 37 non-plus images, which were classified by three experts, were tested by an automated algorithm and software evaluated the correct grouping of images in comparison to expert voting with three different classifiers, k-nearest neighbor, support vector machine and multilayer perceptron network. The plus, pre-plus, and non-plus images were analyzed with 72.3%, 83.7%, and 84.4% accuracy, respectively. CONCLUSIONS: The new automated algorithm used in this pilot scheme for diagnosis and screening of patients with plus ROP has acceptable accuracy. With more improvements, it may become particularly useful, especially in centers without a skilled person in the ROP field.
Subject(s)
Humans , Diagnosis , Dilatation , Mass Screening , Neural Networks, Computer , Politics , Retinopathy of Prematurity , Support Vector Machine , TelemedicineABSTRACT
No abstract available.