• Clinical and Experimental Reproductive Medicine
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• v.46 no.2
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• pp.95-98
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• 2019

Obstructive azoospermia caused by acute epididymitis is usually permanent, and microsurgical vasoepididymostomy is the only reconstructive treatment option. There have been no reports of delayed recovery of sperm count after over 1 year in a patient with obstructive azoospermia related to history of acute epididymitis. We present a young male patient who had azoospermia and a history of acute epididymitis who experienced delayed recovery, with complete restoration of sperm production and the ability to conceive naturally.

• 대한생식의학회:학술대회논문집
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• 2006.11a
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• pp.115-115
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• 2006

• Clinical and Experimental Reproductive Medicine
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• v.44 no.4
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• pp.175-180
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• 2017

Fertility preservation plays a central role in cancer care since an increasingly large number of cancer patients are surviving as a result of improvements in diagnostic and therapeutic strategies. Physicians who take part in the initial diagnosis and management of gynecologic cancer should understand the importance of fertility preservation. Since indications for fertility preservation are limited to early-stage gynecologic cancer, a surgeon must carefully consider each indication. Before performing fertility-sparing surgery, health professionals should compare its oncologic and pregnancy outcomes with those of other standard treatments. Individualized treatment strategies should be delivered depending on the patient's situation, and physicians should provide timely information and appropriate counseling.

• 대한생식의학회:학술대회논문집
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• 2006.11a
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• pp.121.2-122
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• 2006

• 대한생식의학회:학술대회논문집
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• 2006.06a
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• pp.164.1-164.1
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• 2006

• 대한생식의학회:학술대회논문집
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• 2006.06a
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• pp.169.2-169.2
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• 2006

• The Korean Journal of Applied Statistics
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• v.34 no.1
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• pp.75-98
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• 2021

This paper compares three statistical models that examine the relationship between national and provincespecific fertility rates. The three models are two of the regression models and a cointegration model. The regression model is by substituting Gompit transformation for the cumulative fertility rate by the average for ten years, and this model applies the raw data without transformation of the fertility data. A cointegration model can be considered when fitting the unstable time series of fertility rate in probability process. This paper proposes the following when it is intended to derive the relation of non-stationary fertility rate between the national and provinces. The cointegrated relationship between national and regional fertility rates is first derived. Furthermore, if this relationship is not significant, it is proposed to look at the national and regional fertility rate relationships with a regression model approach using raw data without transformation. Also, the regression model method of substituting Gompit transformation data resulted in an overestimation of fertility rates compared to other methods. Finally, Seoul, Busan, Daegu, Incheon, Gwangju, Daejeon and Gyeonggi province are expected to show a total fertility rate of 1.0 or less from 2025 to 2030, so an urgent and efficient policy to raise this level is needed.

• The Korean Journal of Applied Statistics
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• v.31 no.6
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• pp.677-692
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• 2018

The total fertility rate of Korea was 1.05 in 2017, showing a return to the 1.08 level in the year 2005. 1.05 is a very low fertility level that is far from replacement level fertility or safety zone 1.5. The number may indicate a low fertility trap. It is therefore important to predict fertility than at any other time. In the meantime, we have predicted the age-specific fertility rate and total fertility rate by various statistical methods. When the data trend is disconnected or fluctuating, it applied a nonparametric method applying the smoothness and weight. In addition, the Bayesian method of using the pre-distribution of fertility rates in advanced countries with reference to the three-stage transition phenomenon have been applied. This paper examines which method is reasonable in terms of precision and feasibility by applying estimation, forecasting, and comparing the results of the recent variability of the Korean fertility rate with parametric, non-parametric and Bayesian methods. The results of the analysis showed that the total fertility rate was in the order of KOSTAT's total fertility rate, Bayesian, parametric and non-parametric method outcomes. Given the level of TFR 1.05 in 2017, the predicted total fertility rate derived from the parametric and nonparametric models is most reasonable. In addition, if a fertility rate data is highly complete and a quality is good, the parametric model approach is superior to other methods in terms of parameter estimation, calculation efficiency and goodness-of-fit.

• Clinical and Experimental Reproductive Medicine
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• v.40 no.4
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• pp.143-147
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• 2013

Oocyte in vitro maturation (IVM) is an assisted reproductive technology in which oocytes are retrieved from the antral follicles of unstimulated or minimally stimulated ovaries. IVM of human oocytes has emerged as a promising procedure. This new technology has advantages over controlled ovarian stimulation such as reduction of costs, simplicity, and elimination of ovarian hyperstimulation syndrome. By elimination or reduction of gonadotropin stimulation, IVM offers eligible infertile couples a safe and convenient form of treatment, and IVM outcomes are currently comparable in safety and efficacy to those of conventional in vitro fertilization. IVM has been applied mainly in patients with polycystic ovary syndrome or ultrasound-only polycystic ovaries, but with time, the indications for IVM have expanded to other uncommon situations such as fertility preservation, as well as to normal responders. In this review, the current clinical experiences with IVM will be described.

• Journal of Families and Better Life
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• v.28 no.6
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• pp.59-69
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• 2010

This study is to understand the determinants affecting women's fertility behavior (additional fertility plan) using the Korean Longitudinal Survey of Women & Families of 2007. Patterns of married women's life courses are divided into five groups depending on family role and economic activity: family-centered (no work experience) type, latent M type, M type, work-family reconciliation type, and first job entry type. This study performs a binomial logistic regression analysis and the key findings from the study are summarized as follows. First, five distinctive patterns show the different composition: family-centered type (4.5%), latent M type (69.6%), M type (10.4%), work-family reconciliation type (7.4%), and first job entry type (8.1%). Second, socio-economic characteristics, husband characteristics, and value characteristics are statistically significant to additional fertility behavior ; however, institutional character is not significant. Finally, significant factors affecting additional fertility plans vary in different patterns of life courses. Based on these results, this study suggests some policy implications and future research directions.