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    4D Fetal Echocardiography

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    Contributor(s)
    Rizzo, Giuseppe (editor)
    Arduini, Domenico (editor)
    Language
    English
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    Abstract
    Congenital heart defects (CHD) are the most frequent malformation in the human fetus and are the leading cause of mortality due to malformations in the first year of life. Despite its clinical importance screening performed by ultrasonographic examination during the second trimester of pregnancy has shown disappointingly low detection rates mainly due to the difficulties in obtaining an adequate examination of the fetal heart. Four-dimensional (4D) ultrasound of the fetal heart has been recently suggested as a tool to improve the detection rate of CHD by decreasing the dependency on operator skills required in two-dimensional ultrasound scans but up to now no practical manuals are available in describing its application in clinical practice for the study of fetal heart. The objective of this Ebook is to explain the role of 4D during second trimester examination and in fetuses with CHD. The technique of obtaining 4D volume of the fetal heart, how to navigate in the volume to obtain diagnostic planes and how to use semiautomatic and automatic software of analysis are described. We believe that after reading this book the standard fetal cardiac anatomy survey can be performed in the second trimester fetus by 4D in both normal and abnormal hearts. This approach may reduce the operator dependency in diagnosis CHD. This Ebook should prove to be a valuable resource for obstetricians, sonographers and pediatric cardiologists.
    URI
    https://library.oapen.org/handle/20.500.12657/75859
    Keywords
    Medicine; Preatal Diagnosis; Fetal Heart; Fetal Echocardiography
    DOI
    10.2174/97816080504441100101
    ISBN
    9781608050444, 9781608056347, 9781608050444
    Publisher
    Bentham Science Publishers
    Publication date and place
    2010
    Imprint
    Bentham Science Publishers
    Pages
    215
    Rights
    https://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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