scholarly journals Evaluation of Uterine Cavity Abnormality using Saline Infusion Sonohysterography Before In Vitro Fertilization

2021 ◽  
Vol 9 (B) ◽  
pp. 917-920
Author(s):  
Ichwanul Adenin ◽  
Hilma Putri Lubis ◽  
Binarwan Halim
Keyword(s):  
In Vitro Fertilization ◽  
Treatment Success ◽  
Uterine Cavity ◽  
Saline Infusion ◽  
Infertile Woman ◽  
Success Rates ◽  
Endometrial Polyps ◽  
Vitro Fertilization ◽  
Saline Infusion Sonohysterography

BACKGROUND: Some studies suggested that saline infusion sonohysterography (SIS) has been used to detect uterine cavity abnormalities before in vitro fertilization (IVF) cycles to improve treatment success rates and decrease the number of cycle cancellations and embryo implantation failures. Some of the factors contributing to the dissemination and acceptance of the technique include the fact that it is a simple, less painful, less expensive, less invasive, and well-tolerated procedure when compared to hysteroscopy. AIM: The aim of the study is to evaluate uterine cavity abnormality with SIS performed before IVF. METHODS: A descriptive retrospective study involving 551 female partners who had SIS before IVF/ICSI treatment at private Halim Fertility Center from January 2014 until December 2017. Five hundred and fifty-one infertile woman was included in this study before IVF/ICSI cycles. Patients agreed to have an ultrasound assessment of the uterine cavity with the use of saline as the contrast medium. SIS procedure was scheduled postmenstrual period in the early-mid follicular phase and 1-3 months before starting IVF/ICSI treatment. RESULTS: From 551 patients, we found 527 (94.4%) cases with the normal uterine cavity. The uterine cavity abnormalities were detected in 5.56% of cases included in this study (28 (5.02%) cases with endometrial polyps, two (0.36%) cases with intrauterine adhesions, and one (0.18%) case with Müllerian duct anomalies). CONCLUSION: SIS before IVF treatment could be a good option for evaluating uterus cavity before IVF to improve success rates of pregnancy.

scholarly journals Omics and Artificial Intelligence to Improve In Vitro Fertilization (IVF) Success: A Proposed Protocol

Diagnostics ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 743
Author(s):  
Charalampos Siristatidis ◽  
Sofoklis Stavros ◽  
Andrew Drakeley ◽  
Stefano Bettocchi ◽  
Abraham Pouliakis ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
In Vitro Fertilization ◽  
Treatment Options ◽  
Treatment Success ◽  
Multiple Gestation ◽  
Success Rates ◽  
Neural Network Models ◽  
Vitro Fertilization ◽  
Infertile Couples

The prediction of in vitro fertilization (IVF) outcome is an imperative achievement in assisted reproduction, substantially aiding infertile couples, health systems and communities. To date, the assessment of infertile couples depends on medical/reproductive history, biochemical indications and investigations of the reproductive tract, along with data obtained from previous IVF cycles, if any. Our project aims to develop a novel tool, integrating omics and artificial intelligence, to propose optimal treatment options and enhance treatment success rates. For this purpose, we will proceed with the following: (1) recording subfertile couples’ lifestyle and demographic parameters and previous IVF cycle characteristics; (2) measurement and evaluation of metabolomics, transcriptomics and biomarkers, and deep machine learning assessment of the oocyte, sperm and embryo; (3) creation of artificial neural network models to increase objectivity and accuracy in comparison to traditional techniques for the improvement of the success rates of IVF cycles following an IVF failure. Therefore, “omics” data are a valuable parameter for embryo selection optimization and promoting personalized IVF treatment. “Omics” combined with predictive models will substantially promote health management individualization; contribute to the successful treatment of infertile couples, particularly those with unexplained infertility or repeated implantation failures; and reduce multiple gestation rates.

scholarly journals Robust Metabolomics Approach For The Evaluation Of Human Embryos From In-Vitro Fertilization.

2021 ◽  
Author(s):  
Cecilia Figoli ◽  
Marcelo Garcea ◽  
Claudio Bisioli ◽  
Valeria Tafintseva ◽  
Volha Shapaval ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
In Vitro Fertilization ◽  
Selection Criterion ◽  
Human Embryos ◽  
Spectral Features ◽  
Success Rates ◽  
Vitro Fertilization ◽  
Main Challenge ◽  
Culture Supernatants

Abstract The identification of the most competent embryos for transfer to the uterus constitutes the main challenge of in-vitro fertilization (IVF). We established a metabolomic-based approach applying Fourier Transform Infrared spectroscopy (FTIR) on 130 samples of 3-days embryo culture supernatants from 26 embryos that implanted and 104 that failed. Examining the internal structure of the data by unsupervised multivariate analysis, it was observed that the supernatants of nonimplanted embryos contained highly heterogeneous spectral features. These features were overlapping with metabolic-implantation fingerprints, thus demonstrating that in establishing embryo-assessment models a one-class modelling involving only the samples with positive-implantation outcomes should be applied. Analysis of variance confirmed that the women´s age (>40 years) undermined the implantation of the embryos exhibiting implantation metabolomics, and also that constituted a condition triggering embryos to express nonimplantation metabolomics. We conclude that IVF-success rates can be significantly improved if FTIR spectroscopy is used as an embryo-selection criterion.

scholarly journals Comparative Study Between Mock Embryo Transfer Prior To The Treatment Cycle and Real Embryo Transfer In In Vitro Fertilization

KnE Medicine ◽  
2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Hilma Putri Lubis
Keyword(s):  
In Vitro Fertilization ◽  
Embryo Transfer ◽  
Treatment Cycle ◽  
Uterine Cavity ◽  
Pregnancy Rates ◽  
Clinical Pregnancy ◽  
Vitro Fertilization ◽  
Significant Difference ◽  
Clinical Pregnancy Rates

<p><strong>Introduction</strong><strong></strong></p><p>A trial or mock embryo transfer (ET) may influence pregnancy rates and it performed prior to ET allows the clinician to assess the uterine cavity and the utero-cervical angle. The aim of this study is to compare the consistency of the type of ET in mock ET with real ET.</p><p><strong>Material &amp; Methods</strong></p><p>A retrospective comparative analysis of  patients who underwent in vitro fertilization or ICSI cycle from January 2014 to December 2014 in Halim Fertility Center was done. The type of transfer was divided into two groups: ‘easy’ or ‘difficult’. An easy ET was defined as a transfer that occurred without the use of manipulation or other instrumentation and difficult ET was considered when additional instrumentation was required.</p><p><strong>Results</strong></p><p>From the study, 103 patients who underwent Mock-ET, we  found 58 patients (56.3%) with easy ET and 45 patients (43.7%) with difficult ET, which with hard catheter ET in 17 patients (16.5%), with osfander assistance in 20 patients (19.4%) and with stylet in 8 patients (7,8%). 58 patients with Easy Mock ET group were entirely easy real ET (100%) and 45 patients with difficult Mock ET group also entirely were difficult real ET (100%). The Statistical analysis shows no significant difference between the mock ET and real ET groups (p&gt;0,05). In easy real ET, clinical pregnancy rates were 32.8% and in difficult real ET, clinical pregnancy rates were 26.7% with no significant difference between the  groups (p&gt;0,05).</p><p><strong>Conclusion:</strong></p><p>Mock ET prior to the treatment cycle is consistent with real ET.</p>

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