ArticleJournal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine2022
Fully Automated Placental Volume Quantification From 3D Ultrasound for Prediction of Small-for-Gestational-Age Infants.
Article in Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Ultrasound evaluation of placental volume and placental vascular indices in women developing hypertensive disorders in pregnancy compared to controls: a systematic review and meta-analysis.European heart journal. Quality of care & clinical outcomes · 2026Pooled it
- First-Trimester Prediction Models Based on Maternal Characteristics for Adverse Pregnancy Outcomes: A Systematic Review and Meta-Analysis.BJOG : an international journal of obstetrics and gynaecology · 2025Pooled it
- Artificial Intelligence in Imaging in the First Trimester of Pregnancy: A Systematic Review.Fetal diagnosis and therapy · 2024Pooled it
- Emerging applications of artificial intelligence for obstetric ultrasound: A scoping review.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Article
- SEGMENTATION CONFIDENCE FOR ARBITRARY CNNS.Proceedings. IEEE International Symposium on Biomedical Imaging · 2026Article
- PRISM Lite: A lightweight model for interactive 3D placenta segmentation in ultrasound.Proceedings of SPIE--the International Society for Optical Engineering · 2025Article
- Interactive Segmentation Model for Placenta Segmentation from 3D Ultrasound images.Simplifying medical ultrasound : 5th international workshop, ASMUS 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, proceedings. ASMUS (Workshop) (5th : 2024 : Marrakech, Morocco) · 2025Article
- Evolving the Era of 5D Ultrasound? A Systematic Literature Review on the Applications for Artificial Intelligence Ultrasound Imaging in Obstetrics and Gynecology.Journal of clinical medicine · 2023Review
- The human placenta project: Funded studies, imaging technologies, and future directions.Placenta · 2023Review
- Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view.Medical image analysis · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
objectivesEarly placental volume (PV) has been associated with small-for-gestational-age infants born under the 10th/5th centiles (SGA10/SGA5). Manual or semiautomated PV quantification from 3D ultrasound (3DUS) is time intensive, limiting its incorporation into clinical care. We devised a novel convolutional neural network (CNN) pipeline for fully automated placenta segmentation from 3DUS images, exploring the association between the calculated PV and SGA.
methodsVolumes of 3DUS obtained from singleton pregnancies at 11-14 weeks' gestation were automatically segmented by our CNN pipeline trained and tested on 99/25 images, combining two 2D and one 3D models with downsampling/upsampling architecture. The PVs derived from the automated segmentations (PV
resultsWe included 442 subjects with 37 (8.4%) and 18 (4.1%) SGA10/SGA5 infants, respectively. Our segmentation pipeline achieved a mean Dice score of 0.88 on an independent test-set. Adjusted models including PV
conclusionsFirst trimester PV measurements derived from our CNN segmentation pipeline are significantly associated with future SGA. This fully automated tool enables the incorporation of including placental volumetric biometry into the bedside clinical evaluation as part of a multivariable prediction model for risk stratification and patient counseling.
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