Objective: To determine the precise degree of variability that is represented by the reproducibility and reliability of semen analysis. The general assumption is that semen analyses need to be repeated because of a high degree of within-individual variability. However, the precise degree of variability is not well established in male partners of subfertile couples.
Design: Retrospective cohort study.
Setting: Two university hospitals in the Netherlands, which routinely perform two semen analyses in the male partner of subfertile couples.
Patient(s): Male partners of subfertile couples.
Interventions: None.
Main Outcome Measure(s): We assessed the test-retest reproducibility, by calculating the coefficient of variation (CV(w)) for five semen parameters. The CV(w) expresses, on a relative scale, the degree of closeness of repeated measurements taken in the same subject. We also estimated the reliability of these semen parameters, in terms of the intraclass correlation coefficient, which expresses the ratio of the between-subject variability over the total variability.
Result(s): We analyzed the data of 5,240 men and found that the CV(w) of all semen parameters ranged from 28% to 34%. The intraclass correlation coefficients of these semen parameters were moderate to high: volume: 0.70; concentration: 0.89; motility: 0.58; morphology: 0.60; total motile count: 0.73.
Conclusion(s): This study affirmed the presumed large within-subject variability and the limited reproducibility of semen analyses in subfertile men. Whether this degree of variability within men justifies one or more repetitions of the semen analysis in view of consequences for clinical management should be the topic of future studies. Until then it seems reasonable to perform two semen analyses.
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http://dx.doi.org/10.1016/j.fertnstert.2010.03.021 | DOI Listing |
Nutrients
January 2025
ART and Reproductive Biology Laboratory, University Hospital and School of Medicine, Picardie University Jules Verne, CHU Sud, 80000 Amiens, France.
Today, accumulating evidence highlights the impact of oxidative stress (OS) on semen quality. It is considered to be a key factor contributing to the decline in male fertility. OS is detected in 30-80% of men with infertility, highlighting its strong association with impaired reproductive function and with clinical outcomes following the use of assisted reproductive technologies.
View Article and Find Full Text PDFJ Clin Med
January 2025
Department of Urology, Faculty of Medicine, Recep Tayyip Erdogan University, 53000 Rize, Turkey.
Semen analysis is universally regarded as the gold standard for diagnosing male infertility, while ultrasonography plays a vital role as a complementary diagnostic tool. This study aims to assess the effectiveness of artificial intelligence (AI)-driven deep learning algorithms in predicting semen analysis parameters based on testicular ultrasonography images. This study included male patients aged 18-54 who sought evaluation for infertility at the Urology Outpatient Clinic of our hospital between February 2022 and April 2023.
View Article and Find Full Text PDFInt J Mol Sci
January 2025
State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Science, Inner Mongolia University, Hohhot 010070, China.
N6-methyladenosine (m6A) modification is a key methylation modification involved in reproductive processes. gene editing (MT) in cattle is known to enhance muscle mass and productivity. However, the changes in m6A modification in MT bull sperm remain poorly understood.
View Article and Find Full Text PDFMedicina (Kaunas)
December 2024
Department of Pharmacy, Tajen University, Pingtung 907, Taiwan.
: This study aimed to illustrate a novel method for improving presbyopia by drinking cassiae tea. : A total of 425 eyes from 425 participants (aged 52.5 ± 9.
View Article and Find Full Text PDFGenes (Basel)
January 2025
Institute for Regenerative Medicine and Biotherapy (IRMB), University of Montpellier, INSERM, CHU Montpellier, 34295 Montpellier, France.
Background: Sperm samples are separated into bad and good quality samples in function of their phenotype, but this does not indicate their genetic quality.
Methods: Here, we used GeneChip miRNA arrays to analyze microRNA expression in ten semen samples selected based on high-magnification morphology (score 6 vs. score 0) to identify miRNAs linked to sperm phenotype.
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