Multi-level Trainable Segmentation for Measuring Gestational and Yolk Sacs from Ultrasound Images

As a non-hazardous and non-invasive approach to medical diagnostic imaging, ultrasound serves as an ideal candidate for tracking and monitoring pregnancy development. One critical assessment during the first trimester of the pregnancy is the size measurements of the Gestation Sac (GS) and the Yolk Sac (YS) from ultrasound images. Such measurements tend to give a strong indication on the viability of the pregnancy. This paper proposes a novel multi-level trainable segmentation method to achieve three objectives in the following order: (1) segmenting and measuring the GS, (2) automatically identifying the stage of pregnancy, and (3) segmenting and measuring the YS. The first level segmentation employs a trainable segmentation technique based on the histogram of oriented gradients to segment the GS and estimate its size. This is then followed by an automatic identification of the pregnancy stage based on histogram analysis of the content of the segmented GS. The second level segmentation is used after that to detect the YS and extract its relevant size measurements. A trained neural network classifier is employed to perform the segmentation at both levels. The effectiveness of the proposed solution has been evaluated by comparing the automatic size measurements of the GS and YS against the ones obtained gynaecologist. Experimental results on 199 ultrasound images demonstrate the effectiveness of the proposal in producing accurate measurements as well as identifying the correct stage of pregnancy

New first trimester crown-rump length's equations optimized by structured data collection from a French general population

--- Objectives --- Prior to foetal karyotyping, the likelihood of Down's syndrome is often determined combining maternal age, serum free beta-HCG, PAPP-A levels and embryonic measurements of crown-rump length and nuchal translucency for gestational ages between 11 and 13 weeks. It appeared important to get a precise knowledge of these scan parameters' normal values during the first trimester. This paper focused on crown-rump length. --- METHODS --- 402 pregnancies from in-vitro fertilization allowing a precise estimation of foetal ages (FA) were used to determine the best model that describes crown-rump length (CRL) as a function of FA. Scan measures by a single operator from 3846 spontaneous pregnancies representative of the general population from Northern France were used to build a mathematical model linking FA and CRL in a context as close as possible to normal scan screening used in Down's syndrome likelihood determination. We modeled both CRL as a function of FA and FA as a function of CRL. For this, we used a clear methodology and performed regressions with heteroskedastic corrections and robust regressions. The results were compared by cross-validation to retain the equations with the best predictive power. We also studied the errors between observed and predicted values. --- Results --- Data from 513 spontaneous pregnancies allowed to model CRL as a function of age of foetal age. The best model was a polynomial of degree 2. Datation with our equation that models spontaneous pregnancies from a general population was in quite agreement with objective datations obtained from 402 IVF pregnancies and thus support the validity of our model. The most precise measure of CRL was when the SD was minimal (1.83mm), for a CRL of 23.6 mm where our model predicted a 49.4 days of foetal age. Our study allowed to model the SD from 30 to 90 days of foetal age and offers the opportunity of using Zscores in the future to detect growth abnormalities. --- Conclusion --- With powerful statistical tools we report a good modeling of the first trimester embryonic growth in the general population allowing a better knowledge of the date of fertilization useful in the ultrasound screening of Down's syndrome. The optimal period to measure CRL and predict foetal age was 49.4 days (9 weeks of gestational age). Our results open the way to the detection of foetal growth abnormalities using CRL Zscores throughout the first trimester

San Juan Bautista (detalle)

Background According to the WHO Multicentre Growth Reference Study Group recommendations, boys and girls have different growth trajectories after birth. Our aim was to develop gender-specific fetal growth curves in a low-risk population and to compare immediate birth outcomes. Methods First, second, and third trimester fetal ultrasound examinations were conducted between 2002 and 2012. The data was selected using the following criteria: routine examinations in uncomplicated singleton pregnancies, Caucasian ethnicity, and confirmation of gestational age by a crown-rump length (CRL) measurement in the first trimester. Generalized Additive Model for Location, Scale and Shape (GAMLSS) was used to align the time frames of the longitudinal fetal measurements, corresponding with the methods of the postnatal growth curves of the WHO MGRS Group. Results A total of 27,680 complete scans were selected from the astraia© ultrasound database representing 12,368 pregnancies. Gender-specific fetal growth curves for biparietal diameter (BPD), head circumference (HC), abdominal circumference (AC), and femur length (FL) were derived. The HC and BPD were significantly larger in boys compared to girls from 20 weeks of gestation onwards (p < 0.001) equating to a 3-day difference at 20–24 weeks. Boys were significantly heavier, longer, and had greater head circumference than girls (p < 0.001) at birth. The Apgar score at 1 min (p = 0.01) and arterial cord pH (p < 0.001) were lower in boys. Conclusions These longitudinal fetal growth curves for the first time allow integration with neonatal and pediatric WHO gender-specific growth curves. Boys exceed head growth halfway of the pregnancy, and immediate birth outcomes are worse in boys than girls. Gender difference in intrauterine growth is sufficiently distinct to have a clinically important effect on fetal weight estimation but also on the second trimester dating. Therefore, these differences might already play a role in early fetal or immediate neonatal management

Investigating the influence of maternal cortisol and emotional state during pregnancy on the DNA methylation status of the glucocorticoid receptor gene (NR3C1) promoter region in cord blood

Background The methylation status of the human glucocorticoid receptor gene NR3C1 in newborns has been reported to be sensitive to prenatal maternal mood. This study investigates both the association between maternal cortisol and emotional state during pregnancy and the methylation state of the promoter region of NR3C1 gene. Methods We examined 83 pregnant women. Psychological data and diurnal cortisol data were assessed to evaluate maternal stress once each trimester. DNA methylation at different loci of the NR3C1 gene, including exon 1B, 1D and 1F, was analyzed in genomic DNA from cord blood mononuclear cells. Results Univariable analyses indicated pregnancy related anxiety to be the strongest psychological parameter throughout pregnancy. Most significant findings concerned 1F. Particularly the methylation state of CpG9 was significantly associated with maternal emotional wellbeing. In a multivariable model the proportion of variance in methylation state of F9 explained (PVE) by pregnancy related anxiety was 7.8% (p = 0.023) during T1. Furthermore different CpG-units located at the nerve growth factor inducible protein A (NGFI-A) binding sites of 1F were associated with maternal anxiety [(F20.21: PC PRAQ and fear of integrity in T1: respectively PVE:8.9% and PVE:9.0%; Fear of delivery T2: PVE:8.0%, Fear of integrity T2: PVE:6.0% and STAI T2: PVE:5.9%) – (F12.13: PC PRAQ T1: PVE:6.9%, fear of integrity T2: PVE:6.0% and fear of delivery T2: PVE:8.0%)] and cortisol (F38.39: PVE:8.9%) in T2. Conclusion These data indicate that prenatal maternal emotional state, particularly pregnancy related anxiety, are associated with the methylation state of the NR3C1 gene in the child. Keywords: Prenatal maternal emotional wellbeing, Maternal HPA axis, Methylation state NR3C1, Maternal anxiet

Investigating the influence of maternal cortisol and emotional state during pregnancy on the DNA methylation status of the glucocorticoid receptor gene (NR3C1) promoter region in cord blood

Background The methylation status of the human glucocorticoid receptor gene NR3C1 in newborns has been reported to be sensitive to prenatal maternal mood. This study investigates both the association between maternal cortisol and emotional state during pregnancy and the methylation state of the promoter region of NR3C1 gene. Methods We examined 83 pregnant women. Psychological data and diurnal cortisol data were assessed to evaluate maternal stress once each trimester. DNA methylation at different loci of the NR3C1 gene, including exon 1B, 1D and 1F, was analyzed in genomic DNA from cord blood mononuclear cells. Results Univariable analyses indicated pregnancy related anxiety to be the strongest psychological parameter throughout pregnancy. Most significant findings concerned 1F. Particularly the methylation state of CpG9 was significantly associated with maternal emotional wellbeing. In a multivariable model the proportion of variance in methylation state of F9 explained (PVE) by pregnancy related anxiety was 7.8% (p = 0.023) during T1. Furthermore different CpG-units located at the nerve growth factor inducible protein A (NGFI-A) binding sites of 1F were associated with maternal anxiety [(F20.21: PC PRAQ and fear of integrity in T1: respectively PVE:8.9% and PVE:9.0%; Fear of delivery T2: PVE:8.0%, Fear of integrity T2: PVE:6.0% and STAI T2: PVE:5.9%) – (F12.13: PC PRAQ T1: PVE:6.9%, fear of integrity T2: PVE:6.0% and fear of delivery T2: PVE:8.0%)] and cortisol (F38.39: PVE:8.9%) in T2. Conclusion These data indicate that prenatal maternal emotional state, particularly pregnancy related anxiety, are associated with the methylation state of the NR3C1 gene in the child. Keywords: Prenatal maternal emotional wellbeing, Maternal HPA axis, Methylation state NR3C1, Maternal anxiet