Can the sperm class analyser (SCA) CASA-Mot system for human sperm motility analysis reduce imprecision and operator subjectivity and improve semen analysis?
File(s)motility paper 6.4.docx (197.59 KB)
Accepted version
Author(s)
Dearing, Chey
Jayasena, Channa
Lindsay, Kevin
Type
Journal Article
Abstract
Semen analysis (SA) is considered mandatory for suspected male infertility although its clinical value has recently become questionable. Sperm motility is an essential parameter for SA, but is limited by high measurement uncertainty, which includes operator subjectivity. Computer-assisted sperm analysis (CASA) can reduce measurement uncertainty compared with manual SA. The objective of this study was to determine whether the Sperm Class Analyser (SCA) CASA-Mot system could reduce specific components of sperm motility measurement uncertainty compared with the World Health Organization (WHO) manual method in a single laboratory undertaking routine diagnostic SA. The study examined: (i) operator subjectivity; (ii) precision, (iii) accuracy against internal and external quality standards; and (iv) a pilot sub-study examining the potential to predict an IVF fertilisation rate. Compared with the manual WHO method of SA on 4000 semen samples, SCA reduces but does not completely eliminate operator subjectivity. Study SCA and CASA-Mot are useful tools for well-trained staff that allow rapid, high-number sperm motility categorization with less analytical variance than the manual equivalent. Our initial data suggest that SCA motility may have superior predictive potential compared with the WHO manual method for predicating IVF fertilization.
Date Issued
2019-05-06
Date Acceptance
2019-03-21
Citation
Human Fertility, 2019, 24 (3), pp.208-218
ISSN
1464-7273
Publisher
Taylor and Francis
Start Page
208
End Page
218
Journal / Book Title
Human Fertility
Volume
24
Issue
3
Copyright Statement
© 2019 Taylor & Francis. This is an Accepted Manuscript of an article published by Taylor & Francis in Human Fertility on 06 May 2019, available online: https://doi.org/10.1080/14647273.2019.1610581.
Sponsor
National Institute for Health Research
Identifier
https://www.tandfonline.com/doi/full/10.1080/14647273.2019.1610581
Grant Number
PDF-2017-10-098
Subjects
Science & Technology
Life Sciences & Biomedicine
Obstetrics & Gynecology
Reproductive Biology
Semen analysis
quality assurance
IVF
QUALITY-CONTROL
INTRAUTERINE INSEMINATION
ENVIRONMENTAL-FACTORS
PARAMETERS
MORPHOLOGY
FERTILITY
PREGNANCY
COUNT
TIME
IVF
Semen analysis
quality assurance
Obstetrics & Reproductive Medicine
1103 Clinical Sciences
1114 Paediatrics and Reproductive Medicine
Publication Status
Published
Date Publish Online
2019-05-06