Probe motion during mid-trimester fetal anomaly scan in the clinical setting: A prospective observational study.

Anomaly scans Fetal ultrasound Metrics Obstetrics Pregnancy Probe trajectory Screening Trajectory

Journal

European journal of obstetrics, gynecology, and reproductive biology
ISSN: 1872-7654
Titre abrégé: Eur J Obstet Gynecol Reprod Biol
Pays: Ireland
ID NLM: 0375672

Informations de publication

Date de publication:
03 May 2024
Historique:
received: 13 11 2023
revised: 11 04 2024
accepted: 29 04 2024
medline: 6 5 2024
pubmed: 6 5 2024
entrez: 5 5 2024
Statut: aheadofprint

Résumé

This study aims to investigate probe motion during full mid-trimester anomaly scans. We undertook a prospective, observational study of obstetric sonographers at a UK University Teaching Hospital. We collected prospectively full-length video recordings of routine second-trimester anomaly scans synchronized with probe trajectory tracking data during the scan. Videos were reviewed and trajectories analyzed using duration, path metrics (path length, velocity, acceleration, jerk, and volume) and angular metrics (spectral arc, angular area, angular velocity, angular acceleration, and angular jerk). These trajectories were then compared according to the participant level of expertise, fetal presentation, and patient BMI. A total of 17 anomaly scans were recorded. The average velocity of the probe was 12.9 ± 3.4 mm/s for the consultants versus 24.6 ± 5.7 mm/s for the fellows (p = 0.02), the average acceleration 170.4 ± 26.3 mm/s Some differences in the probe path metrics (velocity, acceleration, jerk and working volume) were noticed according to operator's level.

Identifiants

pubmed: 38705008
pii: S0301-2115(24)00217-3
doi: 10.1016/j.ejogrb.2024.04.042
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

13-17

Informations de copyright

Copyright © 2024 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Maela Le Lous (M)

Department of Obstetrics and Gynecology, University Hospital of Rennes, France; Univ Rennes, INSERM, LTSI - UMR 1099, F35000 Rennes, France; CIC Inserm 1414, University Hospital of Rennes, University of Rennes 1, Rennes, France; Department of Computer Science, Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United Kingdom. Electronic address: maela.le.lous@chu-rennes.fr.

Francisco Vasconcelos (F)

Department of Computer Science, Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United Kingdom.

Chiara Di Vece (C)

Department of Computer Science, Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United Kingdom.

Brian Dromey (B)

Department of Computer Science, Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United Kingdom; Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, United Kingdom.

Raffaele Napolitano (R)

Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, United Kingdom; Fetal Medicine Unit, Elizabeth Garrett Anderson Wing, University College London Hospitals NHS Foundation Trust, London, United Kingdom.

Soojoeong Yoo (S)

Department of Computer Science, Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United Kingdom.

Eddie Edwards (E)

Department of Computer Science, Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United Kingdom.

Arnaud Huaulme (A)

Univ Rennes, INSERM, LTSI - UMR 1099, F35000 Rennes, France.

Donald Peebles (D)

Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, United Kingdom; Fetal Medicine Unit, Elizabeth Garrett Anderson Wing, University College London Hospitals NHS Foundation Trust, London, United Kingdom.

Danail Stoyanov (D)

Department of Computer Science, Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United Kingdom.

Pierre Jannin (P)

Univ Rennes, INSERM, LTSI - UMR 1099, F35000 Rennes, France.

Classifications MeSH