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Biomedical subjects

Craig S Niederberger

Publications and source records attributed to Craig S Niederberger.

15 recordsLinked to original sources

Assisted reproductive technologies on the Web.

The rapid advance of the World Wide Web presents significant challenges for ensuring quality of health care information presented to a global audience. Using American Medical Association guidelines, Huang and co-authors have issued a report card for Society for Assisted Reproductive Technology-affiliated websites, indicating much room for improvement.

Ambulatory Care Facilities↗

Computational models for prediction of IVF/ICSI outcomes with surgically retrieved spermatozoa.

IVF/intracytoplasmic sperm injection (ICSI) using surgically retrieved spermatozoa (SRS) is a key option in the treatment of severe male infertility. It was aimed to develop a computational model for the prediction of this modality's outcome. A dataset of 113 exemplars, derived from patients who underwent IVF/ICSI with SRS, was retrospectively analysed. The dataset, containing input features maternal age, sperm retrieval technique, type of spermatozoa used, type of male factor and output intrauterine pregnancy, was randomized into a modelling ('training') set of 83 and cross-validation ('test') set of 30. neUROn++, a set of C++ programs, was used to model the dataset using linear and quadratic discriminant function analysis, logistic regression, and neural computation. A 4-hidden node neural network was found to have the highest accuracy, with a test set receiver operator characteristic (ROC) curve area of 0.783. Reverse regression of this neural network showed maternal age to be the most significant feature in predicting pregnancy (P = 0.025), followed by sperm type (P = 0.076). Type of male factor (P = 0.47) and sperm retrieval technique (P = 0.88) did not predict outcome. In summary, a neural network of clinical relevance was found to be superior in terms of IVF/ICSI outcome prediction. Future media deployment is planned.

Adult↗

Computational models for detection of erectile dysfunction.

PURPOSE: Vascular comorbidities are well known to correlate with erectile dysfunction (ED) but a correlation with hypogonadism and depression is less clear. Using several linear and nonlinear mathematical models we investigated the correlation of age, hypogonadism and depression with ED using the Sexual Health Inventory for Men (SHIM) as a surrogate marker for ED. MATERIALS AND METHODS: A data set of 140 exemplars containing the input features age, total testosterone in ng/dl, Center for Epidemiologic Studies Depression scale score and output SHIM score (thresholded to 10 for moderate ED) was randomized into a modeling (training) set of 105 and a cross-validation (test) set of 35 with similar outcome frequencies preserved in each set. Using neUROn++, a set of C++ programs that we developed using the Cygwin (Red Hat, Raleigh, North Carolina) GNU C++ port for Windows (Microsoft, Redmond, Washington) distributed across Pentium (Intel, Santa Clara, California) platforms we modeled the data set using the linear methods, linear and quadratic discriminant function analysis, and logistic regression, and the nonlinear method of neural computation with several investigated architectures. RESULTS: A 4 hidden node network was found to have the highest accuracy compared to linear and quadratic discriminant function analyses, and logistic regression. ROC areas for the test set were 0.702, 0.645, 0.676 and 0.618, respectively. Analysis of the neural network demonstrated that moderate ED correlated with patient age and depression score. Forward and reverse regression of the neural network based on Wilk's generalized likelihood ratio test revealed that age was most significant (p <0.001), followed by Center for Epidemiologic Studies Depression Scale score (p <0.03), followed by testosterone (p >0.6). CONCLUSIONS: We investigated linear and nonlinear computational models of moderate ED. To our knowledge this is the first demonstration that SHIM correlates with age and a depression metric. Furthermore, moderate ED based on SHIM with a correlation with age may now provide a rationale and basis for future investigation into the understanding of age related erectile pathophysiology.

Adult↗

Herniorrhaphy with polypropylene mesh causing inguinal vasal obstruction: a preventable cause of obstructive azoospermia.

OBJECTIVE: To report a multiinstitutional experience of men presenting with infertility secondary to inguinal hernia repair using polypropylene mesh. SUMMARY BACKGROUND DATA: An estimated 80% of inguinal hernia operations involve placement of a knitted polypropylene mesh to form a "tension-free" herniorrhaphy. The prosthetic mesh induces a chronic foreign-body fibroblastic response creating scar tissue that imparts strength to the floor and leads to fewer recurrences. However, little is known about the long-term effects of the polypropylene mesh on the vas deferens, especially with regard to fertility. METHODS: Eight institutions in the United States reported a total of 14 cases of azoospermia secondary to inguinal vasal obstruction related to previous polypropylene mesh herniorrhaphy. Patient characteristics and operative findings were forwarded to 1 center for tabulation of data. RESULTS: Mean patient age was 35.5 years with an average duration of infertility of 1.8 years. Mean number of years between urologic evaluation and herniorrhaphy was 6.3 years. Types of inguinal hernia repair previously performed were: open (10), laparoscopic (2), or both (2). Nine patients had bilateral obstruction and 5 patients had unilateral obstruction with contralateral testicular atrophy or epididymal obstruction. Surgical exploration revealed a dense fibroblastic response encompassing the polypropylene mesh with either trapped or obliterated vas in all patients. Surgical reconstruction was performed in 8 of 14 men (57%). CONCLUSION: Reconstruction to restore fertility can be difficult secondary to fibrotic reaction. Before undergoing polypropylene mesh herniorrhaphy, men, especially of young reproductive age or with a solitary testicle, need to be carefully advised of potential obstruction and compromise to future fertility.

Adult↗

A neurocomputational model for prostate carcinoma detection.

BACKGROUND: Current guidelines for prostate carcinoma screening rely primarily on the digital rectal examination (DRE) and prostate specific antigen (PSA). Well described patient risk factors for prostate carcinoma also include age, ethnicity, family history, and complexed PSA. However, due to the nonlinear relation of each of these variables with prostate carcinoma, it is difficult to predict reliably each patient's risk based on linear univariate analysis. The authors investigated a neural network to model the risk of prostate carcinoma by seven readily available clinical features. METHODS: The database for the current study comprised 3268 men recently evaluated for the early detection of prostate carcinoma. The seven clinical features evaluated included age, race, family history, International Prostate Symptom Score (IPSS), DRE, and total and complexed PSA. Three hundred forty-eight subjects in the dataset included men with determined prostate biopsy outcomes and for whom at least 6 of 7 features were available. The dataset was divided randomly into a training set (60%) and a test set (40%), with n1/n2 cross-validation used to evaluate model accuracy, and was modeled with linear and quadratic discriminant function analysis and a neural computational system. After a model with acceptable goodness of fit was achieved, reverse regression analysis using Wilks's generalized likelihood ratio test was performed to evaluate the statistical significance of each input variable. RESULTS: The receiving operating characteristic (ROC) area for the neural computational system in the test set was 0.825, whereas total PSA and complexed PSA alone had ROC areas of 0.678 and 0.697, respectively. The ROC area of logistic regression in the test set was 0.510, linear discriminant function analysis was 0.674, and quadratic discriminant function analysis was 0.011. All were significantly less than the ROC area of the neural computational model (all Ps < 0.002). Reverse regression based on Wilks's generalized likelihood ratio test demonstrated each input feature to be highly significant to the model (all Ps << 0.000001). CONCLUSIONS: The authors modeled a combination of well described patient risk factors for prostate carcinoma using a neural computational system with acceptable goodness of fit. They demonstrated that each of the seven variates on which the model was based was critically significant to model performance. The authors presented this model for clinical use and suggested that clinicians use it in deciding to perform prostate biopsy.

Age Factors↗

Male infertility.

Explore the source record for details and available documents.

Case Reports↗

The influence of obstructive interval on patency rates following microsurgical epididymovasostomy.

To determine whether or not obstructive interval (OI) negatively affects patency rates in epididymovasostomy (EV) as a sole procedure alone, we reviewed medical records from obstructive azoospermia (OA) patients who underwent unilateral or bilateral epididymovasostomy. For the purpose of analysis, patients were placed into short OI (15 years or less) or long OI (more than 15 years) categories. Patency rate for the short OI group was 58%, compared to 15% for the long OI group (P<0.01). In conclusion, we observed that patency rates worsened with obstructive interval greater than 15 years. Epididymovasostomy is a challenging procedure that may not be successful, and, thus, patients should be counseled that obstructive interval might affect surgical outcomes. We routinely perform testicular sperm extraction (TESE) with sperm cryopreservation in this patient population due to the high likelihood that it will ultimately be required for assisted reproductive technology (ART).

Adult↗

Understanding the epidemiology of fertility treatments.

The science of statistics forms the basis of much of what urologists do and why. Understanding basic statistics is crucial to the appropriate interpretation of urologic studies. As valid as they are, the statistics taught in medical school represent only a small part of what computation can do for the urologist. Contemporary tools such as neural computation coupled with electronic technology that provides increasingly greater computational power in smaller space hold promise to integrate into the field of clinical urology as seamlessly as a ballpoint pen or cystoscope.

Andrology↗

The role of testicular biopsy in the modern management of male infertility.

PURPOSE: We evaluate the traditional role of isolated testicular biopsy as a diagnostic tool, as opposed to the value as a therapeutic procedure for azoospermic men. MATERIALS AND METHODS: The medical records of azoospermic patients who were evaluated, and treated between 1995 and 2000 were retrospectively analyzed for history, physical examination findings, endocrine profiles, testicular histology and sperm retrieval rates. Based on these parameters, cases were placed into diagnostic categories that included obstructive or nonobstructive azoospermia. Diagnostic parameters used to distinguish obstructive from nonobstructive azoospermia were subjected to statistical analysis with the t-test, analysis of variance and receiver operating characteristics curve. RESULTS: A total of 153 azoospermic men were included in our analysis. Of men with obstructive azoospermia 96% had follicle-stimulating hormone (FSH) 7.6 mIU/ml. or less, or testicular long axis greater than 4.6 cm. Conversely, 89% of men with nonobstructive azoospermia had FSH greater than 7.6 mIU/ml., or testicular long axis 4.6 cm. or less. Receiver operating characteristics analysis revealed that FSH, testicular long axis, and luteinizing hormone were the best individual diagnostic predictors, with areas 0.87, 0.83 and 0.79, respectively. CONCLUSIONS: In the vast majority of patients obstructive azoospermia may be distinguished clinically from nonobstructive azoospermia with a thorough analysis of diagnostic parameters. Based on this result, we believe that the isolated diagnostic testicular biopsy is rarely if ever indicated. Men with FSH 7.6 mIU/ml. or greater, or testicular long axis 4.6 cm. or less may be considered to have nonobstructive azoospermia and counseled accordingly. These men are best treated with therapeutic testicular biopsy and sperm extraction, with processing and cryopreservation for usage in in vitro fertilization and intracytoplasmic sperm injection if they accept advanced reproductive treatment. Diagnostic biopsy is of no other value in this group. Men with FSH 7.6 mIU/ml. or less, or testicular long axis greater than 4.6 cm. may elect to undergo reconstructive surgery with or without testicular biopsy and sperm extraction, or testicular biopsy and sperm extraction alone depending on their reproductive goals.

Analysis of Variance↗

Erectile dysfunction in smokers: a penile dynamic and vascular study.

In this study, we aimed to determine the hemodynamic mechanisms through which cigarette smoking, as an independent risk factor, induces erectile dysfunction (ED). We performed a standard ED evaluation that included history; a physical exam; and serum glucose, testosterone, and prolactin levels. We then excluded ED patients with abnormal androgen profiles and patients with ED risk factors other than smoking. A total of 109 ED patients entered the study, including 71 current smokers and 38 nonsmokers. All patients then underwent extensive evaluation, including nocturnal penile tumescence and rigidity (NPTR) monitoring with Rigiscan, followed by pharmacopenile duplex ultrasonography (PPDU) and redosing pharmacocavernosometry (RPC). Results of the above tests were compared in the smoker and nonsmoker groups. We also performed receiver operating characteristic (ROC) curve analysis to determine which diagnostic parameter is most affected by cigarette smoking. The 4 most significant variates served as input features for a logistic regression model, designed to predict smoking. The average age for smokers and nonsmokers was 44.3 and 51.2 years, respectively (P = .02). Eighty-six percent of smokers had abnormal NPTR testing compared with 55% of nonsmokers (P = .02). The average peak systolic velocity (PSV) was 26.8 and 31.2 cm/s for smokers and nonsmokers, respectively, and this difference was not found to be statistically significant (P = .19) in this study. On performing RPC, an abnormal maintenance flow (MF) of >5 mL/min was detected in 89% of smokers and in 47% of nonsmokers, and the difference was significant (P < .01). With the use of smoking as the outcome, the ROC area of different diagnostic parameters was as follows: 0.79 for penile base rigidity, 0.58 for PSV, and 0.77 for MF. A logistic regression model that used the 4 most significant variates as input features yielded a ROC of 0.857. The results of NPTR testing in our smoker and nonsmoker groups indicated that ED in smokers is mainly of organic etiology. On the basis of the PPDU findings and the higher incidence of abnormal MF in the smoker group and its relatively high ROC value, we concluded that dysfunction of penile veno-occlusive mechanisms plays a substantial role in the development of ED in smokers.

Adult↗

Analysis of outcomes of cryopreserved surgically retrieved sperm for IVF/ICSI.

We evaluated our experience to date with in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) after either cryopreserved sperm or sperm produced on the date of IVF/ICSI was used. We performed a retrospective statistical analysis of data derived from 188 women undergoing IVF/ICSI cycles using surgically retrieved sperm. A total of 318 IVF/ICSI treatment cycles with 3280 ova were performed using testicular sperm extraction (TESE, 304 cycles) or microsurgical epididymal sperm aspiration (MESA, 14 cycles). Sperm obtained at time of IVF/ICSI (fresh) or thawed cryopreserved sperm samples were used in 38 and 280 of the ICSI cycles, respectively. For IVF/ICSI cycles using both TESE and MESA sperm, the fertilization rate was 59.9% for cryopreserved sperm, and 53.6% when fresh sperm was used (chi2 P-alpha < .02, Cramer's 0.04). The fertilization rate for the TESE group alone was 60.0% for cryopreserved sperm and 55.1% for fresh sperm (chi2P-alpha = .075). Cohen effect size was computed at 0.03; yielding for P-beta = .8, 6597 ova would be required to demonstrate similarity between fresh and cryopreserved sperm in the TESE group. To demonstrate superiority of cryopreserved sperm in this group at a P-alpha significance level of .05, 7524 ova would be necessary. The pregnancy rate for the TESE group was 27.3% for cryopreserved sperm and 27% for fresh sperm. Further analysis of the pregnancy data in this group, using the methods described, yielded a chi2 P-alpha and power of 0.971 (effect size calculated at 0.002). While our fertilization rates for cryopreserved sperm are greater in analyses of surgically derived sperm, based on the 7 years required to obtain data on 3280 ova, full numerical resolution of the issue of whether cryopreserved sperm is superior or similar will not be available until approximately 2010. However, we believe these results, along with the similarity shown in pregnancy rates achieved with both types of sperm, clearly indicate that cryopreserved sperm is not inferior to fresh sperm.

Cryopreservation↗