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Expected-value bias in routine third-trimester growth scans.

Drukker, L; Droste, R; Chatelain, P; Noble, JA; Papageorghiou, AT (2020) Expected-value bias in routine third-trimester growth scans. Ultrasound Obstet Gynecol, 55 (3). pp. 375-382. ISSN 1469-0705 https://doi.org/10.1002/uog.21929
SGUL Authors: Papageorghiou, Aris

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Abstract

OBJECTIVES: Operators performing fetal growth scans are usually aware of the gestational age of the pregnancy, which may lead to expected-value bias when performing biometric measurements. We aimed to evaluate the incidence of expected-value bias in routine fetal growth scans and assess its impact on standard biometric measurements. METHODS: We collected prospectively full-length video recordings of routine ultrasound growth scans coupled with operator eye tracking. Expected value was defined as the gestational age at the time of the scan, based on the estimated due date that was established at the dating scan. Expected-value bias was defined as occurring when the operator looked at the measurement box on the screen during the process of caliper adjustment before saving a measurement. We studied the three standard biometric planes on which measurements of head circumference (HC), abdominal circumference (AC) and femur length (FL) are obtained. We evaluated the incidence of expected-value bias and quantified the impact of biased measurements. RESULTS: We analyzed 272 third-trimester growth scans, performed by 16 operators, during which a total of 1409 measurements (354 HC, 703 AC and 352 FL; including repeat measurements) were obtained. Expected-value bias occurred in 91.4% of the saved standard biometric plane measurements (85.0% for HC, 92.9% for AC and 94.9% for FL). The operators were more likely to adjust the measurements towards the expected value than away from it (47.7% vs 19.7% of measurements; P < 0.001). On average, measurements were corrected by 2.3 ± 5.6, 2.4 ± 10.4 and 3.2 ± 10.4 days of gestation towards the expected gestational age for the HC, AC, and FL measurements, respectively. Additionally, we noted a statistically significant reduction in measurement variance once the operator was biased (P = 0.026). Comparing the lowest and highest possible estimated fetal weight (using the smallest and largest biased HC, AC and FL measurements), we noted that the discordance, in percentage terms, was 10.1% ± 6.5%, and that in 17% (95% CI, 12-21%) of the scans, the fetus could be considered as small-for-gestational age or appropriate-for-gestational age if using the smallest or largest possible measurements, respectively. Similarly, in 13% (95% CI, 9-16%) of scans, the fetus could be considered as large-for-gestational age or appropriate-for-gestational age if using the largest or smallest possible measurements, respectively. CONCLUSIONS: During routine third-trimester growth scans, expected-value bias frequently occurs and significantly changes standard biometric measurements obtained. © 2019 the Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of the International Society of Ultrasound in Obstetrics and Gynecology.

Item Type: Article
Additional Information: © 2019 the Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of the International Society of Ultrasound in Obstetrics and Gynecology. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: artificial intelligence, ascertainment bias, detection bias, expectancy bias, eye tracking, fetal biometry, growth scan, observer bias, observer effect, ultrasound, artificial intelligence, ascertainment bias, detection bias, expectancy bias, eye tracking, fetal biometry, growth scan, observer bias, observer effect, ultrasound, 1114 Paediatrics and Reproductive Medicine, Obstetrics & Reproductive Medicine
SGUL Research Institute / Research Centre: Academic Structure > Institute of Medical & Biomedical Education (IMBE)
Academic Structure > Institute of Medical & Biomedical Education (IMBE) > Centre for Clinical Education (INMECE )
Journal or Publication Title: Ultrasound Obstet Gynecol
ISSN: 1469-0705
Language: eng
Dates:
DateEvent
2 March 2020Published
25 November 2019Published Online
14 November 2019Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
ERC-ADG-2015 694581European Research Councilhttp://dx.doi.org/10.13039/501100000781
PubMed ID: 31763735
Web of Science ID: WOS:000517286300012
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/111831
Publisher's version: https://doi.org/10.1002/uog.21929

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