Development of a semi-automated tool to measure fetal abdominal wall thickness during ultrasound at 20 weeks' gestation

  • Suresh Seshadri
  • , Sindhu Pudhukudi
  • , Jayanti Vajiravelu
  • , Ponnusamy Saravanan
  • , Jon Hyett
  • , Uma Ram

Research output: Contribution to journalArticlepeer-review

Abstract

Objectives: To develop a semi-automated tool for measuring fetal abdominal wall thickness (AWT). To validate the software using images captured by other centers and create a nomogram for fetal AWT between 18 and 20 weeks. Methods: A semiautomated tool that measured AWT was developed using images captured at the routine 20-week morphology scan. The software was developed using digital images captured routinely during scans of low-risk women. Inter- and intraobserver reliability was assessed between manual and semi-automated measures. The tool was validated using images acquired from other centers. Linear regression and quadratic polynomials were used to create a nomogram for AWT. Results: The semi-automated tool was able to measure AWT in all images. Interoperator reliability was 0.90 and 0.97 (P < 0.05) for manual and semi-automated methods, respectively. Measurement agreement varied between three operators from moderate to excellent (0.77, 0.87, 0.92), with overall agreement being good (0.85). The tool could be successfully applied to 89% of images from other centers. A nomogram was generated for AWT measurements of fetuses at 18–20 weeks in normal, low risk mothers. Conclusion: Semi-automated measurement of AWT was feasible using images captured during the routine 20-week scan. This approach had lower inter- and intraobserver variability compared to manual measurement.

Original languageEnglish
Pages (from-to)1191-1197
Number of pages7
JournalInternational Journal of Gynecology and Obstetrics
Volume166
Issue number3
DOIs
Publication statusPublished - Sept 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2024 International Federation of Gynecology and Obstetrics.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • abdominal wall thickness
  • automated measurement
  • fetal adiposity
  • fetal growth
  • gestational diabetes

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