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Anomalous venoatrial connections - CT and MRI assessment. | LitMetric

AI Article Synopsis

  • - Abnormal venous atrial (VA) connections are a complex congenital heart disease that poses challenges for pediatric cardiologists, making accurate anatomical evaluation difficult during prenatal and perinatal stages, impacting surgical outcomes.
  • - Echocardiograms are the primary imaging method used for diagnosing simpler VA connections, while CT and MRI are essential for more intricate cases, referred to as "nightmare cases," which require detailed anatomical insights for effective surgical planning.
  • - The article reviews a decade of cases (2013-2022) from a specialized CHD center, showcasing complex VA anomalies through advanced imaging techniques like volume rendering (VR) and multiplanar reconstructions (MPR), emphasizing the importance of 3D modeling for tailoring surgical approaches and

Article Abstract

Abnormal venous atrial (VA) connections present a congenital heart disease (CHD) challenge for pediatric cardiologists. Fully anatomical evaluation is very difficult in prenatal and perinatal follow-up, but it has a profound impact on surgical correction and outcome. The echocardiogram is first-line imaging and represents the gold standard tool for simple abnormal VA connection. CT and MRI are mandatory for more complex heart disease and "nightmare cases". 3D post-processing of volumetric CT and MRI acquisition helps to clarify anatomical relationships and allows for the creation of 3D printing models that can become crucial in customizing surgical strategy. Our article describes a ten-year (2013-2022) tertiary referral CHD center of abnormal AV connections investigated with CT and MRI, illustrating most of these complex diseases with the help of volume rendering (VR) or multiplanar reconstructions (MPR). The nightmarish cases will also be addressed due to the complex cardiovascular arrangement that requires a challenging surgical solution for correction along with the post-surgical complications.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415622PMC
http://dx.doi.org/10.1016/j.heliyon.2023.e18462DOI Listing

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