Literature DB >> 28326513

Manual vs. computer-assisted sperm analysis: can CASA replace manual assessment of human semen in clinical practice?

Joanna Talarczyk-Desole1, Anna Berger, Grażyna Taszarek-Hauke, Jan Hauke, Leszek Pawelczyk, Piotr Jedrzejczak.   

Abstract

OBJECTIVES: The aim of the study was to check the quality of computer-assisted sperm analysis (CASA) system in comparison to the reference manual method as well as standardization of the computer-assisted semen assessment.
MATERIAL AND METHODS: The study was conducted between January and June 2015 at the Andrology Laboratory of the Division of Infertility and Reproductive Endocrinology, Poznań University of Medical Sciences, Poland. The study group consisted of 230 men who gave sperm samples for the first time in our center as part of an infertility investigation. The samples underwent manual and computer-assisted assessment of concentration, motility and morphology. A total of 184 samples were examined twice: manually, according to the 2010 WHO recommendations, and with CASA, using the program set-tings provided by the manufacturer. Additionally, 46 samples underwent two manual analyses and two computer-assisted analyses. The p-value of p < 0.05 was considered as statistically significant.
RESULTS: Statistically significant differences were found between all of the investigated sperm parameters, except for non-progressive motility, measured with CASA and manually. In the group of patients where all analyses with each method were performed twice on the same sample we found no significant differences between both assessments of the same probe, neither in the samples analyzed manually nor with CASA, although standard deviation was higher in the CASA group.
CONCLUSIONS: Our results suggest that computer-assisted sperm analysis requires further improvement for a wider application in clinical practice.

Entities:  

Keywords:  CASA; Computer-assisted sperm analysis; infertility; sperm parameters

Mesh:

Year:  2017        PMID: 28326513     DOI: 10.5603/GP.a2017.0012

Source DB:  PubMed          Journal:  Ginekol Pol        ISSN: 0017-0011            Impact factor:   1.232


  10 in total

1.  A collective tracking method for preliminary sperm analysis.

Authors:  Sung-Yang Wei; Hsuan-Hao Chao; Han-Ping Huang; Chang Francis Hsu; Sheng-Hsiang Li; Long Hsu
Journal:  Biomed Eng Online       Date:  2019-11-27       Impact factor: 2.819

2.  Characteristics of miRNAs Present in Bovine Sperm and Associations With Differences in Fertility.

Authors:  Nicholas Werry; Stewart J Russell; Daniel J Gillis; Sarah Miller; Katie Hickey; Steven Larmer; Michael Lohuis; Clifford Librach; Jonathan LaMarre
Journal:  Front Endocrinol (Lausanne)       Date:  2022-05-19       Impact factor: 6.055

3.  Using Herbal dyes as an alternative staining method for sperm evaluation.

Authors:  Mohammadreza Ebrahimi; Abbas Parham
Journal:  Vet Med Sci       Date:  2020-04-23

4.  Evolutionary and functional analysis of RBMY1 gene copy number variation on the human Y chromosome.

Authors:  Wentao Shi; Sandra Louzada; Marina Grigorova; Andrea Massaia; Elena Arciero; Laura Kibena; Xiangyu Jack Ge; Yuan Chen; Qasim Ayub; Olev Poolamets; Chris Tyler-Smith; Margus Punab; Maris Laan; Fengtang Yang; Pille Hallast; Yali Xue
Journal:  Hum Mol Genet       Date:  2019-08-15       Impact factor: 6.150

5.  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 6.  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

7.  Validation of LensHooke® X1 PRO and Computer-Assisted Semen Analyzer Compared with Laboratory-Based Manual Semen Analysis.

Authors:  Ashok Agarwal; Manesh Kumar Panner Selvam; Rafael F Ambar
Journal:  World J Mens Health       Date:  2021-02-05       Impact factor: 5.400

Review 8.  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

9.  Multistage Optimization Using a Modified Gaussian Mixture Model in Sperm Motility Tracking.

Authors:  Mohammed Alameri; Khairunnisa Hasikin; Nahrizul Adib Kadri; Nashrul Fazli Mohd Nasir; Prabu Mohandas; Jerline Sheeba Anni; Muhammad Mokhzaini Azizan
Journal:  Comput Math Methods Med       Date:  2021-08-29       Impact factor: 2.238

Review 10.  Sperm Morphology Assessment in the Era of Intracytoplasmic Sperm Injection: Reliable Results Require Focus on Standardization, Quality Control, and Training.

Authors:  Ashok Agarwal; Rakesh Sharma; Sajal Gupta; Renata Finelli; Neel Parekh; Manesh Kumar Panner Selvam; Ralf Henkel; Damayanthi Durairajanayagam; Camila Pompeu; Sarah Madani; Andrea Belo; Neha Singh; Simryn Covarrubias; Sara Darbandi; Raha Sadeghi; Mahsa Darbandi; Paraskevi Vogiatzi; Florence Boitrelle; Mara Simopoulou; Ramadan Saleh; Mohamed Arafa; Ahmad Majzoub; Hussein Kandil; Armand Zini; Edmund Ko; Juan G Alvarez; Marlon Martinez; Jonathan Ramsay; Sunil Jindal; Gian Maria Busetto; Hassan Sallam; Israel Maldonado; Christina Anagnostopoulou; Marco G Alves; Pallav Sengupta; Kambiz Gilany; Donald P Evenson; Sheena E M Lewis; Jaime Gosalvez; Rafael F Ambar; Rupin Shah
Journal:  World J Mens Health       Date:  2021-06-17       Impact factor: 6.494

  10 in total

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