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计算机辅助精子分析,常规精子评估的新关键因素。

Computer-aided sperm analysis, the new key player in routine sperm assessment.

机构信息

Eurofins Biomnis - Institut Rhonalpin IVF Center, Clinique du Val d'Ouest - Medicentre, Ecully, France.

出版信息

Andrologia. 2019 Nov;51(10):e13417. doi: 10.1111/and.13417. Epub 2019 Sep 2.

DOI:10.1111/and.13417
PMID:31475742
Abstract

For sperm analysis, important inter-laboratory variations have been observed in manual analyses. In this study, a computer-aided sperm analysis (CASA) system was assessed versus manual technique, and specific software modifications were operated to fit the David's classification already used in the laboratory. Four parameters were studied (concentration, motility, vitality and morphology), and at least 30 semen samples from 30 different patients have been tested. Manual and automated analyses were compared using a least-squares regression line analysis, Student's t test, Bland-Altman plots and Passing-Bablok regressions. Repeatability was also assessed, and coefficients of variation (CV) were calculated. Both manual and automated methods gave similar results for sperm concentration (n = 150), motility (n = 30), vitality (n = 90) and morphology (n = 90). Repeatability always showed a decrease in the CV with automated analysis; for example in normal range of sperm values, CV for manual and CASA analyses were, respectively, 9.0% versus 4.4% for sperm concentration, 5.2% versus 4.1% for motility, 7.3% versus 4.2% for vitality and 11.4% versus 4.1% for morphology. All parameters were comparable between automated and manual analysis, and repeatability measures confirm the more reliable values of the SCA compared to those of manual analysis.

摘要

在手动分析中,已经观察到精子分析的重要实验室间差异。在这项研究中,评估了计算机辅助精子分析(CASA)系统与手动技术的对比,并对特定的软件进行了修改,以适应实验室已经使用的 David 分类法。研究了四个参数(浓度、活力、生命力和形态),并测试了 30 名不同患者的至少 30 个精液样本。使用最小二乘回归线分析、学生 t 检验、Bland-Altman 图和 Passing-Bablok 回归比较手动和自动分析。还评估了重复性,并计算了变异系数(CV)。手动和自动方法在精子浓度(n=150)、活力(n=30)、生命力(n=90)和形态(n=90)方面都给出了相似的结果。重复性始终显示自动分析的 CV 降低;例如,在精子值的正常范围内,手动和 CASA 分析的 CV 分别为 9.0%对浓度、5.2%对活力、7.3%对生命力和 11.4%对形态的 4.4%。所有参数在自动和手动分析之间都是可比的,重复性测量结果证实了 SCA 比手动分析具有更可靠的值。

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