Prediction of sperm retrieval in men with non-obstructive azoospermia using artificial neural networks: leptin is a good assistant diagnostic marker.
BACKGROUND
At present, non-invasive methods are not comprehensive enough to enable urologists to predict sperm retrieval results accurately in patients with non-obstructive azoospermia (NOA). Our aim was to improve the prediction accuracy of sperm retrieval by using leptin and artificial neural networks (ANNs).


METHODS
Data from May 2004 to July 2010 for 280 patients with NOA were reviewed and assigned into the training and testing set for ANNs. All patients underwent standard diagnostic infertility evaluation and testicular sperm extraction (TESE). Twelve factors were recorded as the input variables for ANNs: (1)testicular volume, (2)semen volume, seminal pH, seminal alpha-glucosidase and fructose, (3)serum hormones including FSH, LH, total testosterone (TT), prolactin, estradiol, (4)serum and seminal leptin. Three ANN models were constructed with the following input variables: ANN1-(1)(2)(3)(4), ANN2-(1)(2)(3) and ANN3-(1)(2)(4). The prediction accuracy for FSH, leptin and ANN models was compared by receiver operating characteristic (ROC) curve analysis.


RESULTS
All ANN models were better than FSH. ANN1 had the largest area under the curve (AUC = 0.83) and demonstrated significant improvement compared with FSH (AUC = 0.63, P < 0.01) and leptin (AUC = 0.59, P< 0.01).


CONCLUSIONS
ANNs improve the prediction accuracy of sperm retrieval. Although the leptin AUC is low, combined use of leptin and FSH can significantly improve the prediction accuracy for sperm recovery in NOA patients. Leptin may be a good assistant marker for diagnosing NOA. However, studies with larger numbers of patients are required to confirm the improved predictive performance of ANNs.
Department of Science and Study, Renji Hospital, Shanghai JiaoTong University School of Medicine, 7th floor, Building No.1, No145 Middle Shandong Road, Shanghai, China.
Yi
Y
Ma
Bin
B
Chen
Hongxiang
H
Wang
Kai
K
Hu
Yiran
Y
Huang
D053713:Azoospermia / Q000503:physiopathology*; D015415:Biomarkers / Q000097:blood*; D005640:Follicle Stimulating Hormone / Q000097:blood; D006801:Humans; D020738:Leptin / Q000097:blood*; D008297:Male; D016571:Neural Networks, Computer; D012372:ROC Curve; D055101:Semen Analysis; D053625:Sperm Retrieval
D015415:Biomarkers; D020738:Leptin; D005640:Follicle Stimulating Hormone