Open AccessImpact of age, follicle stimulating hormone and Johnsen's score on successful sperm retrieval by microdissection testicular sperm extraction
Author(s) -
TSUJIMURA AKIRA,
MIYAGAWA YASUSHI,
TAKAO TETSUYA,
FUJITA KAZUTOSHI,
KOMORI KAZUHIKO,
MATSUOKA YASUHIRO,
TAKADA SHINGO,
KOGA MINORU,
TAKEYAMA MASAMI,
FUJIOKA HIDEKI,
MATSUMIYA KIYOMI,
OKUYAMA AKIHIKO
Publication year - 2005
Publication title -
reproductive medicine and biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 22
eISSN - 1447-0578
pISSN - 1445-5781
DOI - 10.1111/j.1447-0578.2005.00082.x
Subject(s) - sperm retrieval , testicular sperm extraction , microdissection , sperm , andrology , reproductive medicine , follicle stimulating hormone , biology , gynecology , medicine , intracytoplasmic sperm injection , hormone , microbiology and biotechnology , luteinizing hormone , in vitro fertilisation , embryo , genetics , pregnancy , gene
Background: The spermatozoa retrieval rate achieved by microdissection testicular sperm extraction (TESE) for patients with non‐obstructive azoospermia is still approximately 50%, despite technical advances. Predicting a successful outcome is important to avoid unnecessary surgery. A study was conducted to determine a method for calculating the predicted probability of successful microdissection TESE. Methods: Testicular spermatozoa were retrieved in 41 of 100 patients by microdissection TESE. Ten clinical factors were examined in the search for an optimal logistic model for predicting a good outcome. Once the best delimiting value was established, sensitivity and specificity were calculated. Results: Patient age, serum follicle stimulating hormone (FSH) concentration and Johnsen's score (JS) were shown to be influential factors by multivariate logistic analysis. The mathematical model for predicting the probability of a successful outcome was as follows: P = (1 + exp[0.144 × patient age − 0.059 × serum FSH concentration − 1.310 × JS]) −1 . When a predictive probability of 49.7% was selected as the best cut‐off value, sensitivity and specificity were 78.0% and 76.3%, respectively. Conclusion: This present model is very useful for predicting successful microdissection TESE. In addition, we suggest that a younger patient age would increase the probability of success with this procedure. (Reprod Med Biol 2005; 4 : 53–57)