Application of Six Sigma for evaluating the analytical quality of tumor marker assays.

阅读:3
作者:Liu Qian, Fu Mei, Yang Fumeng, Liang Wei, Yang Chuanxi, Zhu Wenjun, Ma Liming, Zhao Changxin
CONTEXT: The results of detection assays for the same specimen are usually quite different in different laboratories or when tested with different detection systems. OBJECTIVE: This study was designed to investigate the value of applying sigma metrics derived from different standards for allowable total error (TEa) in evaluating the analytical quality of tumor marker assays. METHODS: Assays were evaluated for these six tumor markers: total prostate-specific antigen (tPSA), carcinoembryonic antigen (CEA), alpha-fetoprotein (AFP), carbohydrate antigen 199 (CA199), carbohydrate antigen 125 (CA125), and carbohydrate antigen 153 (CA153). Sigma values were calculated for two concentrations of quality control products to assess differences in quality of tumor marker assays. Improvement measures were recommended according to the quality goal index, and appropriate quality control rules were selected according to the sigma value. RESULTS: The sigma value was highest using the higher biological variation-derived "appropriate" TEa standard: it was sigma ≥6 or higher in 16.7% of tumor markers. Sigma was below 6 for all tumor markers using the other three TEa. CEA, AFP, CA199, CA125, and CA153 required improved precision. The marker tPSA required improve precision and accuracy. According to sigma values by using China's external quality assessment standards, CEA, AFP, CA125, and CA153 require 1(3s) /2(2s) /R(4s) /4(1s) multirules for internal quality control, CA199 requires use of 1(3s) /2(2s) /R(4s) /4(1s) /8(x) multirules, and tPSA requires maximum quality control rules. CONCLUSION: Six Sigma is useful for evaluating performance of tumor markers assays and has important application value in the quality control of these assays.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。