Chipkevitch E, Nishimura R T, Tu D G, Galea-Rojas M
Darcy Vargas Children's Hospital, Department of Biostatistics, Paulista School of Medicine, São Paulo, Brazil.
J Urol. 1996 Dec;156(6):2050-3.
Measurement of the testis is a more readily available method of estimating spermatogenesis. Doubt remains about the best instrument for measuring testicular volume. Lack of bias or accuracy of instruments has received too much emphasis in some studies, while to our knowledge no one has yet appropriately compared reliability statistically. We propose a simple new method for measuring testicular size based on visual comparison with graphic models, and describe the reliability and bias of this and 4 traditional methods.
Measurements of 42 adolescent testes were made in a certain sequence: graphic method, dimensional measurement, Prader orchidometer, ring orchidometer and ultrasound with ultrasound assumed to be the standard. Statistical analysis was based on the linear structural model.
Statistical tests indicated that all 5 methods are equally reliable (R > 0.9). Although they are not equally accurate, actual testicular size can be calculated using each of these 5 methods and the equations of the linear structural model.
The new graphic method proposed in this study is as reliable as other well-known methods for measuring testicular size. Actual testicular volume can be estimated without bias and with equal reliability from any of the 5 methods using the equations of the linear structural model. This statistical approach is more relevant than the sole comparison of lack of bias or accuracy, which has been the main concern of previous studies.
测量睾丸是评估精子发生更为便捷的方法。对于测量睾丸体积的最佳工具仍存在疑问。在一些研究中,过多强调了测量工具无偏差或准确性,而据我们所知,尚未有人对可靠性进行适当的统计学比较。我们提出一种基于与图形模型视觉比较来测量睾丸大小的简单新方法,并描述该方法以及4种传统方法的可靠性和偏差。
按照特定顺序对42个青春期睾丸进行测量:图形法、尺寸测量法、普拉德睾丸计、环形睾丸计以及超声检查(将超声检查视为标准方法)。统计分析基于线性结构模型。
统计检验表明所有5种方法同样可靠(R > 0.9)。尽管它们的准确性并不相同,但使用这5种方法中的任何一种以及线性结构模型的方程都可以计算出实际睾丸大小。
本研究中提出的新图形法与其他测量睾丸大小的知名方法同样可靠。使用线性结构模型的方程,从这5种方法中的任何一种都可以无偏差且以相同的可靠性估计实际睾丸体积。这种统计方法比单纯比较无偏差或准确性更为重要,而这一直是以往研究主要关注的问题。