Recent Advances in Assisted Reproductive Technology

Brezina, Paul R.; Ning, Ning; Mitchell, Eric; Zacur, Howard A.; Baramki, Theodore A.; Zhao, Yulian

doi:10.1007/s13669-012-0019-2

Cited by 9 publications

(8 citation statements)

References 91 publications

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“…THE process of in vitro fertilization (IVF) is a great achievement of modern medicine and the reproductive sciences, and since 1978, when IVF was first performed, impressive advances have been made in fertilization, cultivation, and implantation methods (1). However, relatively little progress has been made in improving the imaging techniques used to assess human sperm for IVF.…”

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confidence: 99%

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Automated analysis of individual sperm cells using stain‐free interferometric phase microscopy and machine learning

et al. 2017

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Currently, the delicate process of selecting sperm cells to be used for in vitro fertilization (IVF) is still based on the subjective, qualitative analysis of experienced clinicians using non-quantitative optical microscopy techniques. In this work, a method was developed for the automated analysis of sperm cells based on the quantitative phase maps acquired through use of interferometric phase microscopy (IPM). Over 1,400 human sperm cells from 8 donors were imaged using IPM, and an algorithm was designed to digitally isolate sperm cell heads from the quantitative phase maps while taking into consideration both the cell 3D morphology and contents, as well as acquire features describing sperm head morphology. A subset of these features was used to train a support vector machine (SVM) classifier to automatically classify sperm of good and bad morphology. The SVM achieves an area under the receiver operating characteristic curve of 88.59% and an area under the precision-recall curve of 88.67%, as well as precisions of 90% or higher. We believe that our automatic analysis can become the basis for objective and automatic sperm cell selection in IVF. © 2017 International Society for Advancement of Cytometry.

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confidence: 99%

“…The resulting phase map image, after multiplying by the central illumination wavelength and dividing by 2p, provides the actual optical thickness, or optical path delay (OPD) of the sample, at each spatial point (x,y) in the resulting image (5), as defined in Eq. (1).…”

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Automated analysis of individual sperm cells using stain‐free interferometric phase microscopy and machine learning

et al. 2017

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“…Following continued development, assisted reproductive technology (ART) procedures now have enormous potential as a tool for treating infertility ( 6 ). The numerous advances in this field over recent decades have led to the development of increasingly complex diagnostic tools and treatment options ( 7 , 8 ). It is estimated that over 9 million babies have been born following ART treatments worldwide ( 9 ) since the first in vitro fertilisation (IVF) baby was born in 1978 ( 10 ).…”

Section: Introductionmentioning

confidence: 99%

Optimising Follicular Development, Pituitary Suppression, Triggering and Luteal Phase Support During Assisted Reproductive Technology: A Delphi Consensus

et al. 2021

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BackgroundA Delphi consensus was conducted to evaluate global expert opinions on key aspects of assisted reproductive technology (ART) treatment.MethodsTen experts plus the Scientific Coordinator discussed and amended statements plus supporting references proposed by the Scientific Coordinator. The statements were distributed via an online survey to 35 experts, who voted on their level of agreement or disagreement with each statement. Consensus was reached if the proportion of participants agreeing or disagreeing with a statement was >66%.ResultsEighteen statements were developed. All statements reached consensus and the most relevant are summarised here. (1) Follicular development and stimulation with gonadotropins (n = 9 statements): Recombinant human follicle stimulating hormone (r-hFSH) alone is sufficient for follicular development in normogonadotropic patients aged <35 years. Oocyte number and live birth rate are strongly correlated; there is a positive linear correlation with cumulative live birth rate. Different r-hFSH preparations have identical polypeptide chains but different glycosylation patterns, affecting the biospecific activity of r-hFSH. r-hFSH plus recombinant human LH (r-hFSH:r-hLH) demonstrates improved pregnancy rates and cost efficacy versus human menopausal gonadotropin (hMG) in patients with severe FSH and LH deficiency. (2) Pituitary suppression (n = 2 statements): Gonadotropin releasing hormone (GnRH) antagonists are associated with lower rates of any grade ovarian hyperstimulation syndrome (OHSS) and cycle cancellation versus GnRH agonists. (3) Final oocyte maturation triggering (n=4 statements): Human chorionic gonadotropin (hCG) represents the gold standard in fresh cycles. The efficacy of hCG triggering for frozen transfers in modified natural cycles is controversial compared with LH peak monitoring. Current evidence supports significantly higher pregnancy rates with hCG + GnRH agonist versus hCG alone, but further evidence is needed. GnRH agonist trigger, in GnRH antagonist protocol, is recommended for final oocyte maturation in women at risk of OHSS. (4) Luteal-phase support (n = 3 statements): Vaginal progesterone therapy represents the gold standard for luteal-phase support.ConclusionsThis Delphi consensus provides a real-world clinical perspective on the specific approaches during the key steps of ART treatment from a diverse group of international experts. Additional guidance from clinicians on ART strategies could complement guidelines and policies, and may help to further improve treatment outcomes.

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“…Despite the upward trend in the application of ART processes around the world, there are many aspects that should be improved during the execution of these processes [6]. One of the most critical aspects is to establish and define quality and control mechanisms [7] in Biological Sample Management (BSM) and traceability of biological samples in ART when these biological samples (ovules, sperm and embryos) are manipulated by embryologists in fertilization laboratories.…”

Section: Introductionmentioning

confidence: 99%

Traceability Management of Systemsof Systems: A Systematic Reviewin the Assisted Reproduction Domain

Trujillo

Garca

Lizcano

et al. 2019

JWE

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Over last decade, Assisted Reproductive Treatment (ART) has become a very used health service by more and more people around the world because of problems such as the delay in the maternity age, singleparent couples, etc. In this context, health agencies have performed innovations to improve healthcare processes of ARTs, to optimize the performance of health professionals who work in fertilization laboratories and to improve Biological Sample Management (BSM) and sample traceability in ART. However, there are important handicaps in ART processes from the point of view of quality, safety and management. On the one hand, these processes are mainly based on manual execution tasks and manual control tasks. This excess of manual tasks could lead to fatal traceability and safety errors during BSM. On the other hand, ART processes require real, interoperable and traceable communications between different software systems that have to collaborate together (health information systems, biological sample management systems, patient management systems, etc.), but, at present, it is possible to identify some limitations in this domain, that is, the domain of systems of systems (SoS). This paper aims to conduct an exhaustive study was carried out both in the research community and in the commercial field to identify and analyze SoS solutions and theoretical proposals for BSM in ART processes. We have applied the Systematic Literature Review (SLR) methodology to carry out our study and we conclude it is a very young research line that shows a growing trend and that in the actuality there are very few technologies that deal with the problem of the BSM in ART.After analyzing the results, this paper presents as future work an initial Model-Driven conceptual solution to improve BSM in ART.

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Recent Advances in Assisted Reproductive Technology

Cited by 9 publications

References 91 publications

Automated analysis of individual sperm cells using stain‐free interferometric phase microscopy and machine learning

Automated analysis of individual sperm cells using stain‐free interferometric phase microscopy and machine learning

Optimising Follicular Development, Pituitary Suppression, Triggering and Luteal Phase Support During Assisted Reproductive Technology: A Delphi Consensus

Traceability Management of Systemsof Systems: A Systematic Reviewin the Assisted Reproduction Domain

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