Literature DB >> 30093339

Comparison Study of Low-Cost Ultrasound Devices for Estimation of Gestational Age in Resource-Limited Countries.

Thomas L A van den Heuvel1, Dagmar de Bruijn2, Desirée Moens-van de Moesdijk2, Anette Beverdam2, Bram van Ginneken3, Chris L de Korte4.   

Abstract

We investigated how accurately low-cost ultrasound devices can estimate gestational age (GA) using both the standard plane and the obstetric sweep protocol (OSP). The OSP can be taught to health care workers without prior knowledge of ultrasound within one day and thus avoid the need to train dedicated sonographers. Three low-cost ultrasound devices were compared with one high-end ultrasound device. GA was estimated with the head circumference (HC), abdominal circumference (AC) and femur length (FL) using both the standard plane and the OSP. The results revealed that the HC, AC and FL can be used to estimate GA using low-cost ultrasound devices in the standard plane within the inter-observer variability presented in the literature. The OSP can be used to estimate GA by measuring the HC and the AC, but not the FL. This study shows that it is feasible to estimate GA in resource-limited countries with low-cost ultrasound devices using the OSP. This makes it possible to estimate GA and assess fetal growth for pregnant women in rural areas of resource-limited countries.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Obstetric sweep protocol; Obstetrics; Prenatal; Resource-limited countries; Ultrasound

Mesh:

Year:  2018        PMID: 30093339     DOI: 10.1016/j.ultrasmedbio.2018.05.023

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  3 in total

1.  Toward point-of-care ultrasound estimation of fetal gestational age from the trans-cerebellar diameter using CNN-based ultrasound image analysis.

Authors:  Mohammad A Maraci; Mohammad Yaqub; Rachel Craik; Sridevi Beriwal; Alice Self; Peter von Dadelszen; Aris Papageorghiou; J Alison Noble
Journal:  J Med Imaging (Bellingham)       Date:  2020-01-13

2.  Developing Clinical Artificial Intelligence for Obstetric Ultrasound to Improve Access in Underserved Regions: Protocol for a Computer-Assisted Low-Cost Point-of-Care UltraSound (CALOPUS) Study.

Authors:  Shinjini Bhatnagar; Aris T Papageorghiou; J Alison Noble; Alice Self; Qingchao Chen; Bapu Koundinya Desiraju; Sumeet Dhariwal; Alexander D Gleed; Divyanshu Mishra; Ramachandran Thiruvengadam; Varun Chandramohan; Rachel Craik; Elizabeth Wilden; Ashok Khurana
Journal:  JMIR Res Protoc       Date:  2022-09-01

3.  A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment.

Authors:  Ryan G Gomes; Bellington Vwalika; Chace Lee; Angelica Willis; Marcin Sieniek; Joan T Price; Christina Chen; Margaret P Kasaro; James A Taylor; Elizabeth M Stringer; Scott Mayer McKinney; Ntazana Sindano; George E Dahl; William Goodnight; Justin Gilmer; Benjamin H Chi; Charles Lau; Terry Spitz; T Saensuksopa; Kris Liu; Tiya Tiyasirichokchai; Jonny Wong; Rory Pilgrim; Akib Uddin; Greg Corrado; Lily Peng; Katherine Chou; Daniel Tse; Jeffrey S A Stringer; Shravya Shetty
Journal:  Commun Med (Lond)       Date:  2022-10-11
  3 in total

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