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Title: | How to perform a sonographic morphological assessment of the fetus at 11-14 weeks of gestation. | Authors: | Ramkrishna J.;da Silva Costa F.;Maxfield M.;Meagher S.;Teoh M.;Springhall E.A.;Rolnik D.L. ;Reddy M. ;Ganesan S. | Institution: | (Springhall, Rolnik, Reddy, Ganesan, Teoh) Monash Women's, Monash Medical Centre, 246 Clayton Road, Clayton, VIC 3168, Australia (Ganesan, Maxfield, Ramkrishna, Meagher) Monash Ultrasound for Women, 252 Clayton Road, Clayton, VIC 3168, Australia (Ramkrishna) Eastern Health, 5 Arnold Street, Box Hill, VIC 3168, Australia (Ramkrishna) Peninsula Health, 2 Hastings Road, Frankston, VIC 3199, Australia (da Silva Costa) Department of Gynecology and Obstetrics, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Sao Paulo, Brazil | Issue Date: | 30-Aug-2018 | Copyright year: | 2018 | Publisher: | John Wiley and Sons Inc. (E-mail: cs-journals@wiley.com) | Place of publication: | United States | Publication information: | Australasian Journal of Ultrasound in Medicine. 21 (3) (pp 125-137), 2018. Date of Publication: August 2018. | Abstract: | Introduction: First-trimester ultrasound is widely accepted as part of standard care in many countries. With improvements in equipment, expertise and increasing number of technical studies describing imaging techniques, the detection rate for major fetal anomalies in the first trimester continues to rise and can be as high as 60% in high-risk populations. Method(s): We set out to create a systematic pictorial guide for trained ultrasound providers to describe the common anatomical structures that are identifiable in the first trimester with provided images. In addition to normal anatomical structures, a number of anomalies with high detection rates are listed. Conclusion(s): A large proportion of the major fetal abnormalities can be detected in the first trimester. A systematic approach is essential to ensure that anomalies are equally likely to be detected for patients of any risk background.Copyright © 2018 Australasian Society for Ultrasound in Medicine | DOI: | http://monash.idm.oclc.org/login?url=http://dx.doi.org/10.1002/ajum.12109 | ORCID: | Rolnik, Daniel Lorber; ORCID: http://orcid.org/0000-0002-2263-3592 Reddy, Maya; ORCID: http://orcid.org/0000-0002-4251-7193 | ISSN: | 1836-6864 | URI: | https://repository.monashhealth.org/monashhealthjspui/handle/1/37594 | Type: | Article |
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