The importance of quality management in fetal measurement
Abstract
OBJECTIVES: The aims of this study were to evaluate factors contributing to inaccuracy in fetal measurements and to assess the clinical importance of measurement quality. METHODS: One hundred images of biparietal diameter (BPD), head circumference (HC) and abdominal circumference (AC) measurements were collected from six centers (1800 measurements); the proportion meeting quality criteria was assessed. Four hundred images of AC were collected from one center, each image measured by ellipse fitting and tracing methods; clinical agreement between the methods was assessed. Fetal weight estimation (EFW) errors were compared between quality controlled and non-quality controlled studies. Images of three ACs on each of 400 fetuses were collected; where one measurement failed to meet quality criteria, it was compared with an optimal measurement on the same fetus. RESULTS: Eighty-nine percent, 87% and 60% of BPD, HC and AC, respectively, met all quality criteria. Limits of agreement between ellipse and traced AC were -4.7 mm to 12.5 mm; 22% of sections were non-elliptical. EFW errors were significantly different but were confounded by differences in time to delivery. Limits of agreement between optimal and suboptimal AC measurements were -15.1 mm to 7.7 mm. CONCLUSIONS: AC quality criteria are less easily recognized and obtained than those for head measurements; training, adherence to protocols and audit are important. Differences between ellipse and traced AC may not justify the use of separate charts; the number of non-elliptical sections suggests that ellipse fitting is not appropriate. Comparison between EFW errors is not a suitable tool for audit. Failure to meet quality criteria results in clinically significant errors.
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Incorrect fetal abdominal circumference measurement may lead to inaccurate fetal weight estimation and further increase the risk of misdiagnosis.
“In clinical examination and diagnosis, incorrect fetal AC measurement may lead to inaccurate fetal weight estimation and further increase the risk of misdiagnosis [98].”
From Deep Learning in Medical Ultrasound Analysis: A Review (2019) · cites this paper as [98]
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References 19 · Cited by 94
- Authors
- Dudley, N. J., & Chapman, E.
- Affiliations
- Nottingham City Hospital (GB)
- Corresponding author
- Dudley, N. J.
- Venue
- Ultrasound in Obstetrics & Gynecology
- Publisher
- Wiley
- Published
- 2002-02
- Volume
- 19
- Issue
- 2
- Pages
- 190-196
- ISSN
- 0960-7692 (ISSN-L)
- 1469-0705
- OpenAlex
- W2082941960
- Cited by
- 94
- References
- 19
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 3 · 2023: 7 · 2022: 2 · 2021: 8 · 2020: 5 · 2019: 6 · 2018: 4 · 2017: 8 · 2016: 1 · 2015: 3 · 2014: 5 · 2013: 5 · 2012: 4
- FWCI
- 2.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Ultrasound in Obstetrics and Gynecology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Prenatal Screening and Diagnostics
- Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Ultrasound in Clinical Applications
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Reliability and Agreement in Measurement
- Keywords
- fetal biometry, measurement quality, quality control, biparietal diameter, head circumference, abdominal circumference, fetal weight estimation, ellipse fitting, measurement error
- MeSH terms
- Abdomen, Female, Fetus, Gestational Age, Head, Humans, Pregnancy, Quality Control, Ultrasonography, Prenatal, Fetal Weight
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