多探测器计算机断层扫描在诊断突出中的作用

Elina Shrestha, N. Thapa, Shankar Bahadur Singh Rajbhandari
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引用次数: 0

摘要

眼球突出是指眼球前方凸出眼眶。我们的主要目的是分析计算机层析成像结果的模式,以评估突出。计算机断层扫描(CT)是非侵入性的、容易获得的、负担得起的和可靠的成像,有助于早期诊断和及时治疗。方法:采用描述性横断面研究方法,对一年内到我科进行计算机断层扫描评估的58例突出患者进行研究。眼科医生提供的临床资料也有助于我们的研究得出结论。采用SPSS 20版软件对统计数据进行分析。结果:58例患者中,最常见的预后原因是肿瘤,占25例(43.1%)。视网膜母细胞瘤是最常见的眼眶肿瘤。其余15例(25.8%)为感染性,14例(24.1%)为炎症性,2例(3.44%)为外伤性,其余2例(3.44%)无明确病因。双侧突出常与甲状腺眼病相关。受试者中男性32人,女性26人。男女比例为1:1.23。年龄1个月~ 73岁。平均年龄26.4±22岁。结论:在进行明确的手术和药物治疗之前,计算机断层扫描在区分不同类型病变的特征,位置和扩展方面具有重要作用。本研究CT的总体准确率为81%,敏感性为82.6%,特异性为80.6%,阳性预测值为76%,阴性预测值为86.2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Role of Multidetector Computerised Tomography in Evaluation of Proptosis
Introduction: Proptosis is defined as bulging of eye anteriorly out of the orbit. Our main objective was to analyze the pattern of computerised tomographic findings in evaluation of proptosis. Computerised tomography (CT) is noninvasive, easily accessible, affordable and reliable imaging which helps in early diagnosis and prompt treatment. Methods: A descriptive cross sectional study of total 58 patients presenting with proptosis referred to our department of radiology for computerised tomography evaluation during one year period were undertaken into study. The clinical information provided by ophthalmologist also helped our study to derive into conclusion. SPSS version 20 software was used for statistical data analysis. Results: Out of 58 patients, the most common cause of proptosis was neoplasm constituting of 25 cases (43.1%). Retinoblastoma was the commonest orbital tumor. Out of remaining cases, 15 (25.8%) were infective, 14 (24.1%) were inflammatory, two (3.44%) were traumatic and remaining two cases (3.44%) had no definitive cause for proptosis. Bilateral proptosis was commonly associated with thyroid ophthalmopathy. Among the subjects 32 were male, 26 were female. Male: Female ratio was 1:1.23. Age group was ranging from 1 month to 73 years.Mean age was 26.4 ± 22 years. Conclusions: Computerised tomography has an important role in distinguishing the different types of lesions based on their characteristics, location and extension prior to undertaking definitive surgical and medical treatment. Overall accuracy of CT in our study was 81%, sensitivity of 82.6%, specificity of 80.6%, positive predictive value of 76% and negative predictive value of 86.2%.
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