DocumentCode
3380086
Title
The application of computer-assisted semen analysis parameters in semen quality analysis
Author
Jiang, Yufeng ; Zheng, Shiying ; Yan, Chunyin ; Zhang, Wei
Author_Institution
Dept. of Urology, Soochow Univ., Suzhou, China
fYear
2009
fDate
13-14 Dec. 2009
Firstpage
256
Lastpage
258
Abstract
Objective-To preliminarily investigate the clinical value of computer-assisted semen analysis (CASA) parameters. Methods 513 male infertile semen samples and 40 male fertile semen samples were analyzed by means of CASA. Results Among the 513 infertile semen samples, 197 were normozoospermia (38.4%), 180 were asthenozoospermia (35.1%), 75 were oligospermia (14.6%) and 61 were azoospermia (11.9%). Compared with fertile control group, VCL, VSL, VAP and BCF in asthenozoospermia group and oligospermia group were significantly decreased (P<0.05), while ALH, MAD, LIN, STR and WOB had no significant difference (P>0.05). VCL, VSL, VAP, ALH, MAD, LIN, STR, WOB and BCF in normozoospermia group had no significant difference compared with fertile control group. Progressive motility rate was successively reduced in fertile control group, normozoospermia group, asthenozoospermia group, aligospermia group and azoospermia group. And it was the only parameter that showed significant difference in all groups (P<0.05). Conclusions progressive motility rate may serve as a key parameter in human semen analysis. It can provide a valuable reference for the diagnosis of male infertility and the evaluation of assisted reproductive technology.
Keywords
medical diagnostic computing; ALH; BCF; LIN; MAD; STR; VAP; VCL; VSL; WOB; aligospermia group; assisted reproductive technology; asthenozoospermia group; azoospermia group; computer-assisted semen analysis parameters; fertile control group; male infertility diagnosis; normozoospermia group; oligospermia group; progressive motility rate; semen quality analysis; Application software; Biomedical computing; Biomedical engineering; Computer applications; Containers; Hospitals; Humans; Information analysis; Statistical analysis; Testing; computer-assisted semen analysis; male infertility; progressive motility rate;
fLanguage
English
Publisher
ieee
Conference_Titel
BioMedical Information Engineering, 2009. FBIE 2009. International Conference on Future
Conference_Location
Sanya
Print_ISBN
978-1-4244-4690-2
Electronic_ISBN
978-1-4244-4692-6
Type
conf
DOI
10.1109/FBIE.2009.5405901
Filename
5405901
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