Objective: To evaluate the clinical significance of open diagnostic testicular biopsy as prognostic predictor of
successful sperm retrieval among azoospermic infertile patients.
Design: Prospective study.
Setting: Infertility clinic and assisted reproduction unit at the institute of embryo research and infertility
treatment, Baghdad University.
Patients: Sixty infertile azoospermic patients.
Intervention: Pieces of testicular tissue taking during open diagnostic multiple bilateral testicular biopsies was
prepared for histological examination and grouped according to well-defined histopathological patterns.
Measurement of testicular size and serum reproductive hormones (FSH, LH, Testosterone, and PRL) were done
for all these sixty azoospermic patients.
Main Outcome Measures: Sperm found with a new histopatholigical categorization and sub categorization.
Results: Our study showed no significant difference between mean testicular size and mean serum reproductive
hormonal (FSH, LH, T and PRL) concentrations of MAFS compared to CMA and that of SCOFS compared to
SCO. The sperm found with open diagnostic bilateral biopsy was positive in transverse section of seminiferous
tubules of NS, HS, MAFS, and SCOFS, where as it was negative in CMA, CSCO, and TF.
Conclusions: It was concluded from the results of the work that the new histological categorization of open
testicular biopsies was found to be practical, informative, and most useful diagnostic and prognostic predictor to
select the patients for TESE-ICSI
Analysis the economic and financial phenomena and other requires to build the appropriate model, which represents the causal relations between factors. The operation building of the model depends on Imaging conditions and factors surrounding an in mathematical formula and the Researchers target to build that formula appropriately. Classical linear regression models are an important statistical tool, but used in a limited way, where is assumed that the relationship between the variables illustrations and response variables identifiable. To expand the representation of relationships between variables that represent the phenomenon under discussion we used Varying Coefficient Models
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