Literature DB >> 15117434

Comparability of serum prostate-specific antigen measurement between the Roche Diagnostics Elecsys 2010 and the Abbott Architect i2000.

Marion A Gray1, Russell R Cooke, Philip Weinstein, John N Nacey.   

Abstract

BACKGROUND: Most prostate cancers are characterized by a significant rise in the production of serum prostate-specific antigen (PSA), which is used widely in screening for prostate cancer. Within New Zealand, PSA is measured on automated immunoassay analysers, including models by Abbott Laboratories (Architect i2000) and Roche Diagnostics (Elecsys 2010). These assays produce similar, but not identical, results.
OBJECTIVE: To compare the measurement of PSA between the Elecsys 2010 and the Architect i2000 assay.
METHODS: We measured PSA concentrations in each of 194 serum samples using both the Roche Elecsys 2010 and the Abbott Architect i2000 and compared the results using various statistical methods.
RESULTS: PSA concentrations measured on the Architect i2000 system were less than those on the Elecsys 2010 system, by an average of 11%.
CONCLUSION: Because the results from the two assays are different, reference intervals appropriate to the method of PSA measurement should be used.

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Year:  2004        PMID: 15117434     DOI: 10.1258/000456304323019578

Source DB:  PubMed          Journal:  Ann Clin Biochem        ISSN: 0004-5632            Impact factor:   2.057


  4 in total

1.  Rational approach to implementation of prostate cancer antigen 3 into clinical care.

Authors:  Rou Wang; Arul M Chinnaiyan; Rodney L Dunn; Kirk J Wojno; John T Wei
Journal:  Cancer       Date:  2009-09-01       Impact factor: 6.860

2.  Clinical implications of introducing a new PSA assay.

Authors:  Ramachandran Venkitaraman; Andrew R Norman; Jhangir Iqbal; David P Dearnaley; Alan Horwich; Robert A Huddart; Chris C Parker
Journal:  Int Urol Nephrol       Date:  2008-02-06       Impact factor: 2.370

3.  Systematic Differences Between Total and Free Prostate-Specific Antigen Immunoassays: Comparison Using Passing and Bablok Regression.

Authors:  Nafija Serdarevic; Pradeep Dabla; Adina Elena Stanciu
Journal:  Indian J Clin Biochem       Date:  2019-02-13

4.  Assessment of factors associated with PSA level in prostate cancer cases and controls from three geographical regions.

Authors:  Nishi Karunasinghe; Tsion Zewdu Minas; Bo-Ying Bao; Arier Lee; Alice Wang; Shuotun Zhu; Jonathan Masters; Megan Goudie; Shu-Pin Huang; Frank J Jenkins; Lynnette R Ferguson
Journal:  Sci Rep       Date:  2022-01-07       Impact factor: 4.379

  4 in total

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