Focus Issue on Male Infertility

Kobayashi, Hideyuki; Nagao, Kōichi; Nakajima, Koichi

doi:10.1155/2012/823582

Cited by 14 publications

(10 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Obstructive azoospermia implies adequate sperm production but failure in delivery of sperm into the ejaculate because of ductal obstruction. Non-obstructive azoospermia refers to a lack of sperm production 2 .…”

Section: Introductionmentioning

confidence: 99%

A method for utilizing automated machine learning for histopathological classification of testis based on Johnsen scores

Ito

Unagami

Yamabe

et al. 2021

Sci Rep

Self Cite

View full text Add to dashboard Cite

We examined whether a tool for determining Johnsen scores automatically using artificial intelligence (AI) could be used in place of traditional Johnsen scoring to support pathologists’ evaluations. Average precision, precision, and recall were assessed by the Google Cloud AutoML Vision platform. We obtained testicular tissues for 275 patients and were able to use haematoxylin and eosin (H&E)-stained glass microscope slides from 264 patients. In addition, we cut out of parts of the histopathology images (5.0 × 5.0 cm) for expansion of Johnsen’s characteristic areas with seminiferous tubules. We defined four labels: Johnsen score 1–3, 4–5, 6–7, and 8–10 to distinguish Johnsen scores in clinical practice. All images were uploaded to the Google Cloud AutoML Vision platform. We obtained a dataset of 7155 images at magnification 400× and a dataset of 9822 expansion images for the 5.0 × 5.0 cm cutouts. For the 400× magnification image dataset, the average precision (positive predictive value) of the algorithm was 82.6%, precision was 80.31%, and recall was 60.96%. For the expansion image dataset (5.0 × 5.0 cm), the average precision was 99.5%, precision was 96.29%, and recall was 96.23%. This is the first report of an AI-based algorithm for predicting Johnsen scores.

show abstract

Section: Introductionmentioning

confidence: 99%

A method for utilizing automated machine learning for histopathological classification of testis based on Johnsen scores

Ito

Unagami

Yamabe

et al. 2021

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…Male infertility problems can occur when sperms are limited in number or function [1] . A large proportion of infertile men fail to fertile the female ovum because of lack of sperm (Azoospermia) or too little sperm (Oligozoospermia); infertility may also be due to abnormal sperm morphology (Teratozoospermia) and insufficient sperm motility (Asthenozoospermia) [2] .Many men of apparently normal have problem impregnating their partners even when their fertility status by routine semen analysis is considered normal.…”

Section: Introductionmentioning

confidence: 99%

Effects of Low Seminal Plasma Antioxidant Potential on Semen Quality and Male Fertility

Palani

Asdallh

2019

PJBAS

View full text Add to dashboard Cite

It is very important to identify the factors which affect normal sperm functions. New Biochemical parameters in seminal plasma were analyzed to determine the biochemical factors that affect normal sperm function. The research groups consists of infertile groups Asthenozoospermia (n=31) and Normozoospermia (n=27) with a healthy men as a control (n=24). The patients have been selected and examined according to the World Health Organization (2010). In addition the seminal fluid analysis the biochemical parameters were analyzed in the seminal plasma of each sample including; Total antioxidant capacity, Catalase, Glutathione Reductase , glutathione and Malondialdehyde.Results showed a decrease in seminal plasma total antioxidant capacity of Astheno-zoospermia and Normozoospermia , and a significance decrease in catalase level for both infertile groups, Malondialdehyde level significantly increased in both infertile groups and Glutathione level significantly decreased in Asthenozoospermia group as compared to control group. Antioxidants have an important role in sperm protection via disturbing the balance in ROS production which destroys sperm plasma membrane causing loss sperm activity and it's ability to fertilize the egg.

show abstract

“…Many important substances derived from foods and dietary supplements (antioxidants and fatty acids) have been shown to exert metabolic and biological actions in reproduction and performance in both animals and humans. Between 30% and 70% of men with male infertility have some degree of concurrent endocrine dysfunction (Cooper et al, 2009;Kobayashi et al, 2012;Taneja, 2004). The reproductive organ is highly complex, and the focus of endocrine physiology in the human reproductive system has centered on the hypothalamic-pituitary-gonadal (HPG) axis (Ojeda and Griffin, 2000;Nussey and Whitehead, 2001;Nelson, 2005).…”

Section: Nutraceuticals In Reproductive and Developmental Disordersmentioning

confidence: 99%

Nutraceuticals in Reproductive and Developmental Disorders

Singh¹

2016

Nutraceuticals

View full text Add to dashboard Cite

Focus Issue on Male Infertility

Cited by 14 publications

References 39 publications

A method for utilizing automated machine learning for histopathological classification of testis based on Johnsen scores

A method for utilizing automated machine learning for histopathological classification of testis based on Johnsen scores

Effects of Low Seminal Plasma Antioxidant Potential on Semen Quality and Male Fertility

Nutraceuticals in Reproductive and Developmental Disorders

Contact Info

Product

Resources

About