The impact of in vitro fertilization on the risk of recurrence in fertility-sparing management of endometrial atypical hyperplasia and grade 1 adenocarcinoma with chlormadinone acetate

2021 ◽  
Author(s):  
M. Vaugon ◽  
M. Peigné ◽  
J. Phelippeau ◽  
C. Gonthier ◽  
M. Koskas
Keyword(s):  
In Vitro Fertilization ◽  
Atypical Hyperplasia ◽  
Vitro Fertilization ◽  
Risk Of Recurrence ◽  
Chlormadinone Acetate ◽  
Fertility Sparing ◽  
The Impact

scholarly journals Individualized embryo selection strategy developed by stacking machine learning model for better in vitro fertilization outcomes: an application study

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Qingsong Xi ◽  
Qiyu Yang ◽  
Meng Wang ◽  
Bo Huang ◽  
Bo Zhang ◽  
...  
Keyword(s):  
Machine Learning ◽  
In Vitro Fertilization ◽  
Endometrial Thickness ◽  
Learning System ◽  
Embryo Selection ◽  
Selection Strategy ◽  
Application Study ◽  
Vitro Fertilization ◽  
The Impact

Abstract Background To minimize the rate of in vitro fertilization (IVF)- associated multiple-embryo gestation, significant efforts have been made. Previous studies related to machine learning in IVF mainly focused on selecting the top-quality embryos to improve outcomes, however, in patients with sub-optimal prognosis or with medium- or inferior-quality embryos, the selection between SET and DET could be perplexing. Methods This was an application study including 9211 patients with 10,076 embryos treated during 2016 to 2018, in Tongji Hospital, Wuhan, China. A hierarchical model was established using the machine learning system XGBoost, to learn embryo implantation potential and the impact of double embryos transfer (DET) simultaneously. The performance of the model was evaluated with the AUC of the ROC curve. Multiple regression analyses were also conducted on the 19 selected features to demonstrate the differences between feature importance for prediction and statistical relationship with outcomes. Results For a single embryo transfer (SET) pregnancy, the following variables remained significant: age, attempts at IVF, estradiol level on hCG day, and endometrial thickness. For DET pregnancy, age, attempts at IVF, endometrial thickness, and the newly added P1 + P2 remained significant. For DET twin risk, age, attempts at IVF, 2PN/ MII, and P1 × P2 remained significant. The algorithm was repeated 30 times, and averaged AUC of 0.7945, 0.8385, and 0.7229 were achieved for SET pregnancy, DET pregnancy, and DET twin risk, respectively. The trend of predictive and observed rates both in pregnancy and twin risk was basically identical. XGBoost outperformed the other two algorithms: logistic regression and classification and regression tree. Conclusion Artificial intelligence based on determinant-weighting analysis could offer an individualized embryo selection strategy for any given patient, and predict clinical pregnancy rate and twin risk, therefore optimizing clinical outcomes.

scholarly journals The Effect of Stress, Anxiety and Depression on In Vitro Fertilization Outcome in Kazakhstani Public Clinical Setting: A Cross-Sectional Study

2021 ◽  
Vol 10 (5) ◽  
pp. 937
Author(s):  
Gauri Bapayeva ◽  
Gulzhanat Aimagambetova ◽  
Alpamys Issanov ◽  
Sanja Terzic ◽  
Talshyn Ukybassova ◽  
...  
Keyword(s):  
In Vitro Fertilization ◽  
Depressed Mood ◽  
Depression Scale ◽  
Anxiety Scale ◽  
Clinical Depression ◽  
Cross Sectional ◽  
Vitro Fertilization ◽  
Scale Scores ◽  
The Impact

Although it is clear that infertility leads to heightened stress for patients, the impact of depressed mood and anxiety on treatment outcome is inconsistently reported. The aim of this study was to evaluate the effect of stress, depression and anxiety on in vitro fertilization (IVF) outcomes in Kazakhstani public assisted reproductive technology (ART) clinics. The prospective cohort study was performed between June 2019 and September 2020 using questionnaires to assess psychological stress, depressed mood and anxiety in women referred to IVF clinics in two public clinical centers in Kazakhstan, Nur-Sultan and Aktobe. Our study sample comprised 142 women with the average age of 33.9 ± 4.9 years, and infertility duration 6.0 ± 3.5 years. More than half of respondents had Center for Epidemiological Studies Depression Scale (CES-D) scores higher than 16, indicating their risk of developing clinical depression. Ninety-one percent of women from Aktobe city were at risk for clinical depression (p < 0.001). Aktobe city respondents had higher stress subscale scores and anxiety scale scores (p < 0.001) than Nur-Sultan respondents. Statistical analysis showed that IVF outcome was not significantly associated with depression and stress, while the higher anxiety scale scores were negatively associated with clinical pregnancy after IVF.

scholarly journals Expression of mRNAs for Pro-and Anti-Apoptotic Factors in Granulosa Cells and Follicular Fluid of Women Undergoing in Vitro Fertilization. A Pilot Study

2021 ◽  
Author(s):  
Jozsef Bodis ◽  
Endre Sulyok ◽  
Akos Varnagy ◽  
Viktória Prémusz ◽  
Krisztina Godony ◽  
...  
Keyword(s):  
Gene Expression ◽  
In Vitro Fertilization ◽  
Mrna Expression ◽  
Granulosa Cells ◽  
Follicular Fluid ◽  
Vitro Fertilization ◽  
Expression Levels ◽  
The Impact ◽  
Apoptotic Factors

Abstract BackgroundThis observational clinical study evaluated the expression levels and predictive values of some apoptosis-related genes in granulosa cells (GCs) and follicular fluid (FF) of women undergoing in vitro fertilization (IVF).Methods GCs and FF were obtained at oocyte retrieval from 31 consecutive patients with heterogeneous infertility diagnosis (age: 34.3±5.8 years, body mass index: 24.02±3.12 kg/m2, duration of infertility: 4.2±2.1 years). mRNA expression of pro-apoptotic (BAX, CASP3, CASP8) and anti-apoptotic (BCL2, AMH, AMHR, FSHR, LHR, CYP19A1) factors was determined by quantitative RT-PCR using ROCHE LightCycler 480. Results No significant difference in GC or FF mRNA expression of pro- and anti-apoptotic factors could be demonstrated between IVF patients with (9 patients) or without (22 patients) clinical pregnancy. Each transcript investigated was detected in FF, but their levels were markedly reduced and independent of those in GCs. The number of retrieved oocytes was positively associated with GC AMHR (r=0.393, p=0.029), but the day of embryo transfer was negatively associated with GC LHR (r=-0.414, p=0.020) and GC FSHR transcripts (r=-0.535, p=0.002). When pregnancy positive group was analysed separately the impact of apoptosis- related gene expressions on some selected measures of IVF success could be observed. Strong positive relationship was found between gene expression levels of pro- and anti-apoptotic factors in GCs.ConclusionOur study provides only marginal evidences for the apoptosis dependence of IVF outcome and suggests that the apoptosis process induces adaptive increases of the anti-apoptotic gene expression to attenuate apoptosis and to protect cell survival.

scholarly journals The impact of temperature and relative humidity on outcomes of ovarian stimulation and in vitro fertilization using an oocyte donation cohort

2019 ◽  
Vol 112 (3) ◽  
pp. e156-e157
Author(s):  
Audrey J. Gaskins ◽  
Zsolt Peter Nagy ◽  
Sarah M. Capelouto ◽  
Daniel B. Shapiro ◽  
Jessica B. Spencer ◽  
...  
Keyword(s):  
In Vitro Fertilization ◽  
Relative Humidity ◽  
Ovarian Stimulation ◽  
Oocyte Donation ◽  
Vitro Fertilization ◽  
The Impact

The impact of high progesterone levels in the follicular phase of in vitro fertilization (IVF) cycles: A comparative study

1989 ◽  
Vol 6 (1) ◽  
pp. 11-14 ◽  
Author(s):  
Dov Feldberg ◽  
Gil A. Goldman ◽  
Jacob Ashkenazi ◽  
Dov Dicker ◽  
Michal Shelef ◽  
...  
Keyword(s):  
In Vitro Fertilization ◽  
Comparative Study ◽  
Follicular Phase ◽  
Vitro Fertilization ◽  
The Impact

In vitro fertilization in women age 40 and older: The impact of assisted hatching

1995 ◽  
Vol 12 (9) ◽  
pp. 581-584 ◽  
Author(s):  
William B. Schoolcraft ◽  
Terry Schlenker ◽  
Georgeanna S. Jones ◽  
Howard W. Jones
Keyword(s):  
In Vitro Fertilization ◽  
Assisted Hatching ◽  
Vitro Fertilization ◽  
The Impact

scholarly journals SUN-715 IIM May Influence Matured Oocytes’ DNA Methylation of PCOS Patients

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Congru Li ◽  
Yang Yu
Keyword(s):  
Dna Methylation ◽  
In Vitro Fertilization ◽  
Embryonic Development ◽  
Embryo Transfer ◽  
Cpg Island ◽  
Reproductive Technologies ◽  
Childbearing Age ◽  
Vitro Fertilization ◽  
The Impact

Abstract Polycystic ovary syndrome (PCOS) is the most common endocrine disorder in women of childbearing age and is the main cause of anovulatory infertility. To increase the number of oocytes obtained, controlled ovarian stimulation (COS) has become a routine choice for in vitro fertilization-embryo transfer (IVF-ET), which is one of the common assisted reproductive technologies for PCOS patients. However, for these patients, there is a high risk of ovarian hyperstimulation syndrome (OHSS). Obtaining in vitro maturation (IVM) of immature oocytes, and then in vitro fertilization and embryo transfer of mature oocytes provides a possible way for people to solve the above problems. Since the IVM technology will expose oocytes to in vitro conditions for a longer period of time, theoretically increasing the risk of the oocytes being affected by the culture environment, further research and explorations are needed for study in gene programming, epigenetics, etc. Therefore, to explore the impact of IVM operation on embryonic development is of great significance for further clarifying assisted reproductive safety and improving IVM operation conditions. Here we focused on DNA methylation reprogramming process which was essential for embryonic development. We tested the DNA methylation of sperm, IVM oocytes and IVM generated early stage embryos including pronucleus, 4cell, 8cell, morula, inner cell mass, trophoectoderm (TE) as well as six-week embryos by Nimble Gen Human DNA Methylation 3x729K CpG Island Plus RefSeq Promoter Array and compared the data with our published genome-wide DNA methylomes of human gametes and early embryos generated from in vivo maturation oocytes. We showed that IVM embryos show abnormal DNA methylation reprogramming pattern. By analyzing the abnormally reprogrammed promoters, we further found that IVM may affect the functions of demethylation related genes. Oocytes from IVM manipulation were tested with higher DNA methylation levels, and their abnormal methylated promoters mainly enriched in immune and metabolism pathways. Furthermore, we investigated the DNA methylation of TE, which was directly related with implantation process and revealed the abnormal methylated promoters were related with metabolism pathway too. Our data support that IVM may influence the DNA methylome of oocytes, which in turn affects the methylome of their embryos. However, due to the limited number of samples and the inability of the chip to cover all CpG sites, the results of this study require further research and validation.

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