Literature DB >> 1917688

Relationship between sperm motility assessed with the Hamilton-Thorn motility analyzer and fertilization rates in vitro.

D Y Liu1, G N Clarke, H W Baker.   

Abstract

To determine which sperm movement characteristics are related to in vitro fertilization rates, semen and swim-up preparations used for in vitro fertilization in 108 patients were assessed using the Hamilton-Thorn HTM-2030 Motility Analyzer (HTMA) and other sperm tests. There were highly significant correlations between manual and HTMA results for sperm concentration (Spearman r = 0.881; P less than 0.001) and the percentage of motile spermatozoa (Spearman r = 0.580; P less than 0.001). The percentage of motile spermatozoa with average path velocities greater than 10 microns/s and greater than 20 microns/s, straight line and curvilinear velocity, linearity (straight line velocity vs curvilinear velocity), amplitude of lateral head displacement, and beat-cross frequency were significantly higher in the insemination medium after selection of motile spermatozoa by the swim-up technique than in the semen. Linearity (P less than 0.01), the percentage of morphologically normal spermatozoa (P less than 0.05) and straight line velocity (P less than 0.05) in semen, and the percentage of motile spermatozoa with average path velocities greater than 10 microns/s in both semen (P less than 0.05) and insemination medium (P less than 0.05) were significantly correlated with in vitro fertilization rate when examined by a nonparametric (Spearman) test. With logistic regression analysis of all data, only the diagnoses of male infertility and tubal disease, linearity in semen, and the percentage of motile spermatozoa with average path velocities between 10 and 20 microns/s in insemination medium were significantly related to in vitro fertilization rates.(ABSTRACT TRUNCATED AT 250 WORDS)

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Mesh:

Year:  1991        PMID: 1917688

Source DB:  PubMed          Journal:  J Androl        ISSN: 0196-3635


  18 in total

1.  Relationships between sperm motility characteristics assessed by the computer-aided sperm analysis (CASA) and fertilization rates in vitro.

Authors:  Y Hirano; H Shibahara; H Obara; T Suzuki; S Takamizawa; C Yamaguchi; H Tsunoda; I Sato
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2.  A novel test of the phenotype-linked fertility hypothesis reveals independent components of fertility.

Authors:  Tommaso Pizzari; Per Jensen; Charles K Cornwallis
Journal:  Proc Biol Sci       Date:  2004-01-07       Impact factor: 5.349

3.  Compact and light-weight automated semen analysis platform using lensfree on-chip microscopy.

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Journal:  Anal Chem       Date:  2010-10-01       Impact factor: 6.986

4.  CASAnova: a multiclass support vector machine model for the classification of human sperm motility patterns.

Authors:  Summer G Goodson; Sarah White; Alicia M Stevans; Sanjana Bhat; Chia-Yu Kao; Scott Jaworski; Tamara R Marlowe; Martin Kohlmeier; Leonard McMillan; Steven H Zeisel; Deborah A O'Brien
Journal:  Biol Reprod       Date:  2017-11-01       Impact factor: 4.285

5.  Exogenous platelet-activating factor improves the motility of human spermatozoa evaluated with C.A.S.A.: optimal concentration and incubation time.

Authors:  G Grassi; N Cappello; M F Gheorghe; L Salton; C Di Bisceglie; C Manieri; C Benedetto
Journal:  J Endocrinol Invest       Date:  2010-03-10       Impact factor: 4.256

6.  Sperm speed is associated with sex bias of siblings in a human population.

Authors:  Jim A Mossman; Jon Slate; Tim R Birkhead; Harry D Moore; Allan A Pacey
Journal:  Asian J Androl       Date:  2012-12-03       Impact factor: 3.285

7.  Ram Sperm Motility Parameters under The Influence of Epidermal Growth Factor.

Authors:  Eliška Spaleková; Alexander V Makarevich; Norbert Lukáč
Journal:  Vet Med Int       Date:  2011-05-09

8.  Beneficial effects of relaxin on motility characteristics of stored boar spermatozoa.

Authors:  Jean M Feugang; Juan C Rodríguez-Muñoz; Darby S Dillard; Mark A Crenshaw; Scott T Willard; Peter L Ryan
Journal:  Reprod Biol Endocrinol       Date:  2015-03-31       Impact factor: 5.211

9.  Semen molecular and cellular features: these parameters can reliably predict subsequent ART outcome in a goat model.

Authors:  Fiammetta Berlinguer; Manuela Madeddu; Valeria Pasciu; Sara Succu; Antonio Spezzigu; Valentina Satta; Paolo Mereu; Giovanni G Leoni; Salvatore Naitana
Journal:  Reprod Biol Endocrinol       Date:  2009-11-09       Impact factor: 5.211

10.  Are sperm parameters able to predict the success of assisted reproductive technology? A retrospective analysis of over 22,000 assisted reproductive technology cycles.

Authors:  Maria Teresa Villani; Daria Morini; Giorgia Spaggiari; Angela Immacolata Falbo; Beatrice Melli; Giovanni Battista La Sala; Marilina Romeo; Manuela Simoni; Lorenzo Aguzzoli; Daniele Santi
Journal:  Andrology       Date:  2021-11-12       Impact factor: 4.456

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