ArticleThe journal of obstetrics and gynaecology research2022
Innovative approach for first-trimester fetal organ volume measurements using a Virtual Reality system: The Generation R Next Study.
Article in The journal of obstetrics and gynaecology research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Fetal Body Composition and Organ Volume Trajectories in Association With Maternal Perceived Stress or Depressive Symptoms in the Fetal 3D Study.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2025Article
- Maternal cardiovascular disorders before and during pregnancy and offspring cardiovascular risk across the life course.Nature reviews. Cardiology · 2023Review
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8 authors.
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Abstract
introductionTo investigate the reproducibility of first-trimester fetal organ volume measurements using three-dimensional (3D) ultrasound and a Virtual Reality system.
methodsWithin a population-based prospective cohort study, 3D ultrasound datasets of 25 first-trimester fetuses were collected by three sonographers. We used the V-scope application to perform Virtual Reality volume assessments of the fetal heart, lungs, and kidneys. All measurements were performed by two independent researchers.
resultsIntraobserver analyses for volume measurements of the fetal heart, lungs, and kidneys showed intraclass correlation coefficients ≥0.86, mean differences ≤8.3%, and coefficients of variation ≤22.8%. Interobserver analyses showed sufficient agreement for right lung volume measurements, but consistent measurement differences between observers for left lung, heart, and kidney volume measurements (p-values <0.05).
conclusionWe observed sufficient intraobserver reproducibility, but overall suboptimal interobserver reproducibility for first-trimester fetal heart, lung, and kidney volume measurements using an innovative Virtual Reality approach. In the current stage, these measurements might be promising for the use in research settings. The reproducibility of the measurements might be further improved by novel post-processing algorithms.
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