Prospective assessment of reproducibility of three-dimensional ultrasound for fetal biometry

Grandjean, G.; Berveiller, Paul; Hossu, Gabriela; Noble, Prisca; Chamagne, Matthieu; Morel, Olivier

doi:10.1016/j.diii.2020.03.004

Cited by 5 publications

(3 citation statements)

References 19 publications

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“…The GA was accurately predicted and evaluated by estimating the maximum size of the gestational sac using 2D images. Although 3D ultrasound is better than 2D ultrasound in terms of the accuracy of fetal biometrics (25,26), 2D imaging exhibited solid clinical relevance, with the costs of B-ultrasound also lower. In summary, this study has demonstrated the advantages of a new program that automatically captures the contours of the pregnancy sac.…”

Section: Discussionmentioning

confidence: 99%

Rapid and automatic assessment of early gestational age using computer vision and biometric measurements based on ultrasound video

Pei¹,

Gao²,

E³

et al. 2022

Quant Imaging Med Surg

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Background: Early gestational age (GA) assessment using ultrasound is a routine and frequent examination performed in hospitals whereby clinicians manually measure the size of the gestational sac using ultrasound and calculate GA. However, the error is often substantial, and the process is laborious. To overcome these challenges, we propose a new system to assess early GA using a new end-to-end computer vision system and a new biometric measurement method based on ultrasound video.Methods: In this retrospective study, a new system was provided. B-ultrasound videos were first decomposed into two-dimensional (2D) images, and the contours of the gestational sac were extracted and drawn. The maximum length and short diameter of the gestational sac were then automatically measured and GA was calculated using the Hellman formula. Finally, through human-machine comparison, the clinicians' assessment errors were analyzed by SPSS 26.Results: In this study, 29,829 2D images of 191 B-ultrasound videos were evaluated using the new system. Clinicians usually require 15-20 min to complete assessments of GA, whereas with the new system assessments can be completed in approximately 30 s. Moreover, a human-machine comparison showed that the system helped intermediate skills clinicians improve their relative diagnostic error by 13.45% with an absolute error of 7 days. In addition, the new system was used to identify other lesions in the uterus and measure their size as a "sanity check". Conclusions:The proposed new system is a practical, reproducible, and reliable approach for assessing early GA.

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Section: Discussionmentioning

confidence: 99%

Rapid and automatic assessment of early gestational age using computer vision and biometric measurements based on ultrasound video

Pei¹,

Gao²,

E³

et al. 2022

Quant Imaging Med Surg

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“…2,6 Different ways of improving ultrasound training have been Supplemental material online at jultrasoundmed.org explored, that is, the contribution of threedimensional ultrasound or ultrasound simulator. 7,8 Unfortunately access to training in ultrasound is still limited not only because of lacking resources, but also because of a missing comprehensive structured training program. In academic prenatal care facilities such as University College London Hospital in England (UCLH) and at Maternité Regionale Universitaire de Nancy (MRUN) in France, a structured training program ensures that junior sonographers are being trained by senior sonographers in order to become independent in performing all levels of obstetric ultrasound screening examinations following international society recommendations.…”

mentioning

confidence: 99%

“…Experienced sonographers have been shown to obtain highly reliable measurements and that intra‐ and interobserver variability increases with advancing gestations 2,6 . Different ways of improving ultrasound training have been explored, that is, the contribution of three‐dimensional ultrasound or ultrasound simulator 7,8 . Unfortunately access to training in ultrasound is still limited not only because of lacking resources, but also because of a missing comprehensive structured training program.…”

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confidence: 99%

Training in Obstetric Ultrasound Biometry

Donadono

Grandjean

Stegen

et al. 2022

J of Ultrasound Medicine

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Objectives To assess the intra‐ and interobserver reproducibility of fetal biometry measurements obtained by trainee (junior) and experienced sonographers (senior) in the contest of two training programs in obstetric ultrasound. Methods This was a prospective study on 192 women recruited ensuring an even distribution throughout gestation (18–41 weeks), at University College London Hospital (UCLH), England (87 cases), and at Maternité Regionale Universitaire de Nancy (MRUN), France (105 cases). The training took place in two training centers with experience in ultrasound training and subspecialist training in fetal medicine. Measurements for head circumference (HC), abdominal circumference (AC), and femur length (FL) were obtained twice by junior and senior sonographers, blind to their own and each other's measurements. Differences between and within sonographers were expressed in millimeters and as a percentage of fetal dimensions. Reproducibility was assessed using Bland–Altman plots. Results Reproducibility was overall high with 95% confidence intervals (CI) within <6% for intraobserver and <8% for interobserver reproducibility. Intraobserver reproducibility was lower within junior than within senior sonographers' measurements for HC (95% CI: <4% versus <3%) and FL (95% CI: <6% and < 5%). Intraobserver reproducibility was similar between the two centers/training programs (AC 95% CI: <6%). Cumulative interobserver reproducibility in both centers was similar to the reproducibility within a single site (95% CI: <5%, <8%, and <7% for HC, AC, and FL, respectively). Conclusions Reproducibility of fetal biometry measurement was high in centers with structured training programs regardless of sonographers' experience. Reproducibility was higher in sonographers who completed the training.

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