Young I M, Rait J L, Carson C A, Taylor H R
Department of Ophthalmology, University of Melbourne, Australia.
Ophthalmic Epidemiol. 1995 Dec;2(3):117-21. doi: 10.3109/09286589509057092.
In epidemiology, screening for visual field defects has traditionally been expensive, time consuming and laborious. To achieve cost- and time-effective visual field screening, a faster algorithm has been developed for the Humphrey perimeter called Fastpac, which is designed to achieve threshold perimetry in two-thirds the time of the standard algorithm. We compared the Fastpac and conventional full-threshold 24-2 fields obtained in 39 eyes of 36 participants. We divided the participants' fields into normal (14) and glaucomatous (25) visual field groups, and compared the test times, number of questions asked and statistical parameters generated for each field for Fastpac as compared to the standard algorithm. Then we divided the participants' fields into Fastpac and standard fields and again compared the test times, number of questions and statistical parameters. Finally we asked trained observers to judge the fields as being normal or abnormal, in a masked fashion, and found a high degree of agreement between the fields generated by Fastpac and standard. Fastpac offers accurate full-threshold screening in two-thirds the time of the conventional algorithm and would be very useful for large scale prevalence studies in ophthalmic epidemiology.
在流行病学中，传统上用于筛查视野缺损的方法既昂贵又耗时费力。为了实现具有成本效益和省时的视野筛查，已为 Humphrey 视野计开发了一种更快的算法，称为 Fastpac，其设计目的是在标准算法三分之二的时间内完成阈值视野检查。我们比较了 36 名参与者 39 只眼中获得的 Fastpac 算法和传统全阈值 24-2 视野结果。我们将参与者的视野分为正常视野组（14 例）和青光眼视野组（25 例），并比较了 Fastpac 算法与标准算法在每个视野中的检查时间、提问数量和生成的统计参数。然后我们将参与者的视野分为 Fastpac 算法视野和标准算法视野，并再次比较检查时间、问题数量和统计参数。最后，我们让训练有素的观察者以盲法判断视野是否正常，结果发现 Fastpac 算法生成的视野与标准算法生成的视野之间具有高度一致性。Fastpac 算法能在传统算法三分之二的时间内提供准确的全阈值筛查，对于眼科流行病学的大规模患病率研究将非常有用。
