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ICSI/IVF treatments allocation using CASAs compared to manual semen analyses
Murong Xu1,2, Mingpeng Zhao1,3, Huixia Yang1
1Assisted Reproductive Technology Unit, Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Medicine
|February 10, 2025
Summary
Computer-assisted sperm analysis (CASA) systems show inconsistent results compared to the manual method, particularly for sperm morphology. Current CASA systems cannot replace manual analysis for male infertility diagnosis and require further improvement.
Area of Science:
- Andrology
- Reproductive Medicine
- Medical Laboratory Science
Background:
- Manual semen analysis is crucial but labor-intensive and subjective.
- Computer-assisted sperm analysis (CASA) systems aim to improve efficiency and objectivity.
- Consistency of CASA results with manual methods, especially for male infertility diagnosis, remains unclear.
Purpose of the Study:
- To compare the consistency of three CASA systems (Hamilton-Thorne CEROS II, LensHooke X1 Pro, SQA-V Gold) with the manual semen analysis method.
- To evaluate the performance of CASA systems in diagnosing male infertility conditions like oligozoospermia, asthenozoospermia, and teratozoospermia.
Main Methods:
- A total of 326 individuals were recruited between January 2020 and October 2020.
- Manual semen analysis served as the gold standard.
- Pairwise comparisons using intraclass correlation coefficients (ICC) and kappa statistics were conducted between CASA systems and the manual method.
Main Results:
- LensHooke X1 Pro showed the best performance in sperm concentration (ICC=0.842), while CEROS II (ICC=0.723) and SQA-V Gold (ICC=0.631) had moderate agreement.
- Motility analysis showed moderate agreement with CEROS II (ICC=0.634) but poor agreement with LensHooke (ICC=0.417) and SQA-V Gold (ICC=0.451).
- Morphology analysis lacked consistency with manual results (LensHooke ICC=0.160, SQA-V Gold ICC=0.261). CASA systems tended to favor conventional IVF over ICSI, potentially skewing treatment allocation.
Conclusions:
- Current CASA systems demonstrate variable consistency with manual semen analysis, with significant discrepancies in motility and morphology.
- The manual method remains indispensable for andrology laboratories; tested CASA systems cannot replace it currently.
- Improvements in CASA algorithms, particularly for morphology, are necessary, and results should be interpreted cautiously pending further validation.
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