Are two children at once better than one? Risk analysis of twin pregnancies and births after assisted reproduction

Goeckenjan, Maren; Madej, Daria; Klimová, Anna; Wimberger, Pauline; Birdir, C; Glaß, K

doi:10.1016/j.ejogrb.2021.06.047

Cited by 5 publications

(3 citation statements)

References 11 publications

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“…Mo scoring is used to determine an embryo's viability prior to transfer into the Moreover, IVF involves the risk of multiple pregnancies, which is a threat to and baby and results in several risks. The single-embryo transfer is a scheme tively reduces the chances of multiple pregnancies [6]. Blastocyst assessment i to determine the most viable embryo for single embryo transfer for a safe IVF [7].…”

Section: Compartments Of the Blastocystmentioning

confidence: 99%

Deep Learning-Based Detection of Human Blastocyst Compartments with Fractal Dimension Estimation

Arsalan,

Haider,

Hong

et al. 2024

Fractal Fract

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In vitro fertilization (IVF) is an efficacious form of aided reproduction to deal with infertility. Human embryos are taken from the body, and these are kept in a supervised laboratory atmosphere during the IVF technique until they exhibit blastocyst properties. A human expert manually analyzes the morphometric properties of the blastocyst and its compartments to predict viability through manual microscopic evaluation. A few deep learning-based approaches deal with this task via semantic segmentation, but they are inaccurate and use expensive architecture. To automatically detect the human blastocyst compartments, we propose a parallel stream fusion network (PSF-Net) that performs the semantic segmentation of embryo microscopic images with inexpensive shallow architecture. The PSF-Net has a shallow architecture that combines the benefits of feature aggregation through depth-wise concatenation and element-wise summation, which helps the network to provide accurate detection using 0.7 million trainable parameters only. In addition, we compute fractal dimension estimation for all compartments of the blastocyst, providing medical experts with significant information regarding the distributional characteristics of blastocyst compartments. An open dataset of microscopic images of the human embryo is used to evaluate the proposed approach. The proposed method also demonstrates promising segmentation performance for all compartments of the blastocyst compared with state-of-the-art methods, achieving a mean Jaccard index (MJI) of 87.69%. The effectiveness of PSF-Net architecture is also confirmed with the ablation studies.

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Section: Compartments Of the Blastocystmentioning

confidence: 99%

Deep Learning-Based Detection of Human Blastocyst Compartments with Fractal Dimension Estimation

Arsalan,

Haider,

Hong

et al. 2024

Fractal Fract

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“…Previous studies examining complications in MC pregnancies after ART mainly looked at maternal complications in different conception methods and did not include typical MC complications, such as TTTS or TAPS 20 21 . In addition, most studies focused on dichorionic (DC) pregnancies only or did not discriminate between MC and DC pregnancies 22 23 24 .…”

Section: Introductionmentioning

confidence: 99%

Is There a Cumulative Effect for Congenital Heart Defects in Monochorionic Twins after Assisted Reproduction? – A Retrospective Analysis at a Tertiary Referral Center

Zdanowicz,

Yildrim,

Fonseca

et al. 2024

Geburtshilfe Frauenheilkd

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The aim of our study was to compare maternal, chorionicity and neonatal complications in monochorionic (MC) twins between spontaneously conceived (SC) and assisted reproductive technologies (ART) pregnancies.This was a retrospective cohort study between January 2010 to December 2019 at a tertiary referral University center. All consecutive pregnancies with MC twins that delivered at our University hospital were included. Maternal, chorionicity and neonatal complications were recorded and compared between SC and ART pregnancies.393 MC pregnancies were included for final analysis, including 353 (89.8%) SC and 40 (10.2%) pregnancies conceived after ART. Hypothyroidism was the only maternal condition seen significantly more often in ART pregnancies (35.0% vs 12.5%, p = 0.001). There were no significant differences in chorionicity complications, such as twin-twin transfusion syndrome, selective fetal growth restriction and twin anemia-polycythemia sequence (40.0% in ART pregnancies vs 31.6% in SC pregnancies, p = 0.291). At least one congenital anomaly in one twin was seen significantly more often in ART pregnancies (18.8% vs 8.1%, p = 0.004), especially congenital heart defects (16.3% vs 6.2%, p = 0.005). There were no other significant differences in neonatal outcomes between both groups, however, there were non-significant trends in gestational age at delivery (34 weeks in ART pregnancies vs 35 weeks, p = 0.078) and birthweight (1951 g ± 747 in ART pregnancies vs 2143 g ± 579, p = 0.066).This is the largest cohort study to date comparing maternal, chorionicity and neonatal complications between MC twin pregnancies after ART and after SC. Hypothyroidism was the only maternal condition occurring more frequently in pregnancies conceived after ART. There were no significant differences in chorionicity complications, in contrast to previously reported studies. While MC twins and ART pregnancies per se are known to be at risk for congenital heart defects, there seems to be a cumulative effect in MC pregnancies conceived after ART.

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“…According to blastocyst euploid selective transfer (BEST) trials, the success rate of single euploid blastocyst transfer was 69% and 61% for clinical pregnancy and ongoing pregnancy, respectively, whereas the success rate of untested 2-blastocyst transfer was 81%, and 65% for clinical pregnancy and ongoing pregnancy, respectively [ 13 , 14 ]. A single-embryo transfer is considered safe as it helps to avoid maternofetal risks [ 15 ]. Blastocyst competence assessment is important to determine the best single embryo that has the highest potential for pregnancy [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

Human Blastocyst Components Detection Using Multiscale Aggregation Semantic Segmentation Network for Embryonic Analysis

et al. 2022

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Infertility is one of the most important health concerns worldwide. It is characterized by not being successful of pregnancy after some periods of periodic unprotected sexual intercourse. In vitro fertilization (IVF) is an assisted reproduction technique that efficiently addresses infertility. IVF replaces the actual mode of reproduction through a manual procedure wherein embryos are cultivated in a controlled laboratory environment until they reach the blastocyst stage. The standard IVF procedure includes the transfer of one or two blastocysts from several blastocysts that are grown in a controlled environment. The morphometric properties of blastocysts with their compartments such as trophectoderm (TE), zona pellucida (ZP), inner cell mass (ICM), and blastocoel (BL), are analyzed through manual microscopic analysis to predict viability. Deep learning has been extensively used for medical diagnosis and analysis and can be a powerful tool to automate the morphological analysis of human blastocysts. However, the existing approaches are inaccurate and require extensive preprocessing and expensive architectures. Thus, to cope with the automatic detection of blastocyst components, this study proposed a novel multiscale aggregation semantic segmentation network (MASS-Net) that combined four different scales via depth-wise concatenation. The extensive use of depthwise separable convolutions resulted in a decrease in the number of trainable parameters. Further, the innovative multiscale design provided rich spatial information of different resolutions, thereby achieving good segmentation performance without a very deep architecture. MASS-Net utilized 2.06 million trainable parameters and accurately detects TE, ZP, ICM, and BL without using preprocessing stages. Moreover, it can provide a separate binary mask for each blastocyst component simultaneously, and these masks provide the structure of each component for embryonic analysis. Further, the proposed MASS-Net was evaluated using publicly available human blastocyst (microscopic) imaging data. The experimental results revealed that it can effectively detect TE, ZP, ICM, and BL with mean Jaccard indices of 79.08, 84.69, 85.88%, and 89.28%, respectively, for embryological analysis, which was higher than those of the state-of-the-art methods.

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Are two children at once better than one? Risk analysis of twin pregnancies and births after assisted reproduction

Cited by 5 publications

References 11 publications

Deep Learning-Based Detection of Human Blastocyst Compartments with Fractal Dimension Estimation

Deep Learning-Based Detection of Human Blastocyst Compartments with Fractal Dimension Estimation

Is There a Cumulative Effect for Congenital Heart Defects in Monochorionic Twins after Assisted Reproduction? – A Retrospective Analysis at a Tertiary Referral Center

Human Blastocyst Components Detection Using Multiscale Aggregation Semantic Segmentation Network for Embryonic Analysis

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