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3D/4D Ultrasound Being Applied to the Diagnosis of a True Knot in an Umbilical Cord | OMICS International
ISSN: 2376-127X
Journal of Pregnancy and Child Health
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3D/4D Ultrasound Being Applied to the Diagnosis of a True Knot in an Umbilical Cord

Elliot M Levine*
Advocate Illinois Masonic Medical Center, Obstetrics and Gynecology, Chicago, USA
*Corresponding Author : Elliot M Levine
Director of Informatics and Research
Advocate Illinois Masonic Medical Center
Obstetrics and Gynecology, Chicago, USA
Tel: 7732963450
E-mail: [email protected]
Received: January 21, 2016 Accepted: January 27, 2016 Published: February 3, 2016
Citation: Levine EM (2016) 3D/4D Ultrasound Being Applied to the Diagnosis of a True Knot in an Umbilical Cord. J Preg Child Health 3:e129. doi:10.4172/2155-6105.1000207
Copyright: © 2016 Levine EM. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Editorial
Viewing the articles published in this last issue of the Journal of Pregnancy and Child Health, one can see the various manuscripts that can be of interest to the obstetric (and related) clinician. What is also apparent, is the value of modern imaging for the diagnosis of conditions that may not have been diagnosable not too long ago. This includes 3D/4D Ultrasound being applied to the diagnosis of a true knot in an umbilical cord, or MRI for the diagnosis of endometriosis [1,2].
Clinicians also have the opportunity to recognize the importance of what has become a universally used vital statistic, namely Body Mass Index (BMI). This includes the understanding of the continuum of prepregnancy BMI and weight gain in pregnancy, in terms of the medical conditions that are associated with elevated BMI (e.g. gestational diabetes). This information helps us properly identify and manage these conditions that present themselves to the practicing clinician [3].
Finally, with our increasing reliance on “Big Data”, we can be able to view clinically significant trends, so that we can collectively improve the quality of medical care we provide. An example of this is the identification of iatrogenic risk of hemorrhage that may result from providing VTE prophylaxis (i.e., thrombolytic medications administered to prevent the occurrence of postoperative venous thromboembolism). That manuscript relied upon information electronically collected within an Enterprise Data Warehouse (EDW) [4]. This gives healthcare providers the necessary clinical tools which can result from using current technology (e.g. the Electronic Medical Record).
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