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Elisenda Eixarch

Bio: Elisenda Eixarch is an academic researcher from University of Barcelona. The author has contributed to research in topics: Gestational age & Medicine. The author has an hindex of 32, co-authored 152 publications receiving 4297 citations. Previous affiliations of Elisenda Eixarch include Imperial College London & Hospital Sant Joan de Déu Barcelona.


Papers
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Proceedings ArticleDOI
14 Jun 2009
TL;DR: A potential use of the Polarization Second Harmonic Microscopy technique as an early diagnostic tool and an alternative method to understand pathophysiological processes related to Fetal growth restriction is shown.
Abstract: Fetal growth restriction (FGR) has recently shown a strong association with cardiac programming which predisposes to cardiovascular mortality in adulthood. Polarization Second Harmonic Microscopy can quantify molecular architecture changes with high sensitivity in cardiac myofibrils. In this work, we use myosin helical pitch angle as an example to quantify such alterations related to this high risk population. Importantly, this shows a potential use of the technique as an early diagnostic tool and an alternative method to understand pathophysiological processes.

3 citations

Proceedings ArticleDOI
08 Apr 2019
TL;DR: A fully-automated framework to achieve an accurate segmentation of the placenta and its peripheral vasculature in 3D US for twin-to-twin transfusion syndrome is proposed for the first time.
Abstract: Twin-to-twin transfusion syndrome is a serious condition that can affect pregnancies when identical twins share the placenta. In these cases, abnormal placental vessel connections (anastomoses) cause an uneven blood distribution between the babies. Ultrasound (US) enormously facilitates the assessment of these cases, but placenta segmentation is still a challenging task due to artifacts and high variability in its position, orientation, shape and appearance. We propose for the first time a fully-automated framework to achieve an accurate segmentation of the placenta and its peripheral vasculature in 3D US. A conditional Generative Adversarial Network is used to automatically identify the placenta. Afterwards, the entire vasculature is extracted using Modified Spatial Kernelized Fuzzy C-Means and Markov Random Fields. The method is tested on singleton and twin pregnancies from 15 to 38 gestational weeks, achieving a mean Dice coefficient of 0.75 ± 0.12 and 0.70 ± 0.14 for the placenta and its vessels.

3 citations

Journal ArticleDOI
TL;DR: Fetal CMV lesions remained stable with high-dose maternal valacyclovir and newborn viral load was unchanged despite treatment duration and fetal/neonatal abnormalities.
Abstract: Currently, there is no validated treatment for fetal cytomegalovirus (CMV). Two studies suggest that high-dose maternal valacyclovir decreases fetal viral load and improves outcomes in moderately-s...

3 citations

Journal ArticleDOI
TL;DR: The patch-based label fusion framework is revisited and extended, exploring the role of extracting appearance and label information from the native space of both atlases and target images, thus avoiding interpolation artifacts, and results indicate that using atlas patches in their native space yields superior performance than warping the atlased to the target image.

3 citations

Journal ArticleDOI
TL;DR: mean GA at birth does not seem to be correlated to fetal gender in twin pregnancies, and the distribution of preterm and very preterm births was similar in the three groups.
Abstract: If deliveries by planned Cesarean section and deliveries following induced labor are excluded, 872 twin pairs remain, where 28.6% were MMP, 44.6% were MFP and 26.8% were FFP. Mean GA at delivery was 246.8 days (SD 20.4) for MMP, 245.5 days (SD 21.8) for MFP and 246.2 days (SD 21.2) for FFP (p>0.05). The distribution of preterm and very preterm births was similar in the three groups. Conclusions: Mean GA at birth does not seem to be correlated to fetal gender in twin pregnancies.

3 citations


Cited by
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Book ChapterDOI
01 Jan 2010

5,842 citations

Journal ArticleDOI
04 Jul 2013-PLOS ONE
TL;DR: This work has developed a graph-theoretical network visualization toolbox, called BrainNet Viewer, to illustrate human connectomes as ball-and-stick models, and helps researchers to visualize brain networks in an easy, flexible and quick manner.
Abstract: The human brain is a complex system whose topological organization can be represented using connectomics. Recent studies have shown that human connectomes can be constructed using various neuroimaging technologies and further characterized using sophisticated analytic strategies, such as graph theory. These methods reveal the intriguing topological architectures of human brain networks in healthy populations and explore the changes throughout normal development and aging and under various pathological conditions. However, given the huge complexity of this methodology, toolboxes for graph-based network visualization are still lacking. Here, using MATLAB with a graphical user interface (GUI), we developed a graph-theoretical network visualization toolbox, called BrainNet Viewer, to illustrate human connectomes as ball-and-stick models. Within this toolbox, several combinations of defined files with connectome information can be loaded to display different combinations of brain surface, nodes and edges. In addition, display properties, such as the color and size of network elements or the layout of the figure, can be adjusted within a comprehensive but easy-to-use settings panel. Moreover, BrainNet Viewer draws the brain surface, nodes and edges in sequence and displays brain networks in multiple views, as required by the user. The figure can be manipulated with certain interaction functions to display more detailed information. Furthermore, the figures can be exported as commonly used image file formats or demonstration video for further use. BrainNet Viewer helps researchers to visualize brain networks in an easy, flexible and quick manner, and this software is freely available on the NITRC website (www.nitrc.org/projects/bnv/).

3,048 citations

Journal ArticleDOI
TL;DR: The revised sex-specific actual-age growth charts are based on the recommended growth goal for preterm infants, the fetus, followed by the term infant, and may support an improved transition of preterm infant growth monitoring to the WHO growth charts.
Abstract: The aim of this study was to revise the 2003 Fenton Preterm Growth Chart, specifically to: a) harmonize the preterm growth chart with the new World Health Organization (WHO) Growth Standard, b) smooth the data between the preterm and WHO estimates, informed by the Preterm Multicentre Growth (PreM Growth) study while maintaining data integrity from 22 to 36 and at 50 weeks, and to c) re-scale the chart x-axis to actual age (rather than completed weeks) to support growth monitoring. Systematic review, meta-analysis, and growth chart development. We systematically searched published and unpublished literature to find population-based preterm size at birth measurement (weight, length, and/or head circumference) references, from developed countries with: Corrected gestational ages through infant assessment and/or statistical correction; Data percentiles as low as 24 weeks gestational age or lower; Sample with greater than 500 infants less than 30 weeks. Growth curves for males and females were produced using cubic splines to 50 weeks post menstrual age. LMS parameters (skew, median, and standard deviation) were calculated. Six large population-based surveys of size at preterm birth representing 3,986,456 births (34,639 births < 30 weeks) from countries Germany, United States, Italy, Australia, Scotland, and Canada were combined in meta-analyses. Smooth growth chart curves were developed, while ensuring close agreement with the data between 24 and 36 weeks and at 50 weeks. The revised sex-specific actual-age growth charts are based on the recommended growth goal for preterm infants, the fetus, followed by the term infant. These preterm growth charts, with the disjunction between these datasets smoothing informed by the international PreM Growth study, may support an improved transition of preterm infant growth monitoring to the WHO growth charts.

1,687 citations

Journal ArticleDOI
TL;DR: In this article, a Delphi survey was conducted among an international panel of experts on early and late fetal growth restriction (FGR) to determine, by expert consensus, a definition for early FGR through Delphi procedure.
Abstract: Objective To determine, by expert consensus, a definition for early and late fetal growth restriction (FGR) through a Delphi procedure. Method A Delphi survey was conducted among an international panel of experts on FGR. Panel members were provided with 18 literature-based parameters for defining FGR and were asked to rate the importance of these parameters for the diagnosis of both early and late FGR on a 5-point Likert scale. Parameters were described as solitary parameters (parameters that are sufficient to diagnose FGR, even if all other parameters are normal) and contributory parameters (parameters that require other abnormal parameter(s) to be present for the diagnosis of FGR). Consensus was sought to determine the cut-off values for accepted parameters. Results A total of 106 experts were approached, of whom 56 agreed to participate and entered the first round, and 45 (80%) completed all four rounds. For early FGR ( 95th centile in either the UA or uterine artery) were agreed upon. For late FGR (≥ 32 weeks), two solitary parameters (AC or EFW two quartiles on growth charts and cerebroplacental ratio 95th centile) were defined. Conclusion Consensus-based definitions for early and late FGR, as well as cut-off values for parameters involved, were agreed upon by a panel of experts. Copyright © 2016 ISUOG. Published by John Wiley & Sons Ltd.

770 citations