Literature DB >> 24359435

Validation of the sperm class analyser CASA system for sperm counting in a busy diagnostic semen analysis laboratory.

Chey G Dearing1, Sally Kilburn, Kevin S Lindsay.   

Abstract

Sperm counts have been linked to several fertility outcomes making them an essential parameter of semen analysis. It has become increasingly recognised that Computer-Assisted Semen Analysis (CASA) provides improved precision over manual methods but that systems are seldom validated robustly for use. The objective of this study was to gather the evidence to validate or reject the Sperm Class Analyser (SCA) as a tool for routine sperm counting in a busy laboratory setting. The criteria examined were comparison with the Improved Neubauer and Leja 20-μm chambers, within and between field precision, sperm concentration linearity from a stock diluted in semen and media, accuracy against internal and external quality material, assessment of uneven flow effects and a receiver operating characteristic (ROC) analysis to predict fertility in comparison with the Neubauer method. This work demonstrates that SCA CASA technology is not a standalone 'black box', but rather a tool for well-trained staff that allows rapid, high-number sperm counting providing errors are identified and corrected. The system will produce accurate, linear, precise results, with less analytical variance than manual methods that correlate well against the Improved Neubauer chamber. The system provides superior predictive potential for diagnosing fertility problems.

Mesh:

Year:  2013        PMID: 24359435     DOI: 10.3109/14647273.2013.865843

Source DB:  PubMed          Journal:  Hum Fertil (Camb)        ISSN: 1464-7273            Impact factor:   2.767


  5 in total

1.  Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction.

Authors:  Steven A Hicks; Jorunn M Andersen; Oliwia Witczak; Vajira Thambawita; Pål Halvorsen; Hugo L Hammer; Trine B Haugen; Michael A Riegler
Journal:  Sci Rep       Date:  2019-11-14       Impact factor: 4.379

2.  Simplified sperm testing devices: a possible tool to overcome lack of accessibility and inconsistency in male factor infertility diagnosis. An opportunity for low- and middle- income countries.

Authors:  J Onofre; L Geenen; A Cox; I Van Der Auwera; F Willendrup; E Andersen; R Campo; N Dhont; W Ombelet
Journal:  Facts Views Vis Obgyn       Date:  2021-03-31

Review 3.  A Novel Approach to Improving the Reliability of Manual Semen Analysis: A Paradigm Shift in the Workup of Infertile Men.

Authors:  Christopher Douglas; Neel Parekh; Linda G Kahn; Ralf Henkel; Ashok Agarwal
Journal:  World J Mens Health       Date:  2019-11-19       Impact factor: 5.400

Review 4.  The validity and reliability of computer-aided semen analyzers in performing semen analysis: a systematic review.

Authors:  Renata Finelli; Kristian Leisegang; Samhita Tumallapalli; Ralf Henkel; Ashok Agarwal
Journal:  Transl Androl Urol       Date:  2021-07

5.  Effects of Chronic Musculoskeletal Pain on Fertility Potential in Lean and Overweight Male Patients.

Authors:  Fereshteh Dardmeh; Hiva Alipour; Hans Ingolf Nielsen; Sten Rasmussen; Parisa Gazerani
Journal:  Pain Res Manag       Date:  2017-12-24       Impact factor: 3.037

  5 in total

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