Developing a knowledge base to support the annotation of ultrasound images of ectopic pregnancy.

Journal: Journal of biomedical semantics
Published Date: Jan 31, 2017

Abstract

BACKGROUND: Ectopic pregnancy is a frequent early complication of pregnancy associated with significant rates of morbidly and mortality. The positive diagnosis of this condition is established through transvaginal ultrasound scanning. The timing of diagnosis depends on the operator expertise in identifying the signs of ectopic pregnancy, which varies dramatically among medical staff with heterogeneous training. Developing decision support systems in this context is expected to improve the identification of these signs and subsequently improve the quality of care. In this article, we present a new knowledge base for ectopic pregnancy, and we demonstrate its use on the annotation of clinical images.

Authors

  • Ferdinand Dhombres
    National Library of Medicine, National Institutes of Health, Bethesda, MD USA.
  • Paul Maurice
    UPMC Medical Faculty (Paris 6), Department of Fetal Medicine in Armand Trousseau Hospital (APHP), INSERM U1142 (LIMICS), 26 Avenue du Dr Arnold Netter, 75012, Paris, UE, France.
  • Stéphanie Friszer
    UPMC Medical Faculty (Paris 6), Department of Fetal Medicine in Armand Trousseau Hospital (APHP), INSERM U1142 (LIMICS), 26 Avenue du Dr Arnold Netter, 75012, Paris, UE, France.
  • Lucie Guilbaud
    UPMC Medical Faculty (Paris 6), Department of Fetal Medicine in Armand Trousseau Hospital (APHP), INSERM U1142 (LIMICS), 26 Avenue du Dr Arnold Netter, 75012, Paris, UE, France.
  • Nathalie Lelong
    INSERM U1153 (Obstetrical, Perinatal and Pediatric Epidemiology Research Team, Center for Biostatistics and Epidemiology), Maternité Port Royal, 53 Avenue de l'Observatoire, 75014, Paris, UE, France.
  • Babak Khoshnood
    INSERM U1153 (Obstetrical, Perinatal and Pediatric Epidemiology Research Team, Center for Biostatistics and Epidemiology), Maternité Port Royal, 53 Avenue de l'Observatoire, 75014, Paris, UE, France.
  • Jean Charlet
    INSERM, U1142, LIMICS, F-75006, Paris, France; Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1142, LIMICS, F-75006, Paris, France; Université Paris 13, Sorbonne Paris Cité, LIMICS.
  • Nicolas Perrot
    Pyramides Medical Imaging Center, 13 av. de l'Opéra, 75001, Paris, UE, France.
  • Eric Jauniaux
    University College Hospital (UCLH) Department of Obstetrics and Gynaecology, Academic Department of Obstetrics and Gynaecology, University College London (UCL) Institute for Women's Health, 86-96 Chenies Mews, London, WC1E 6HX, UE, UK.
  • Davor Jurkovic
    Department of Obstetrics and Gynaecology, Gynaecology Diagnostic and Outpatient Treatment Unit, University College Hospital (UCLH), 235 Euston Road, London, NW1 2BU, UE, UK.
  • Jean-Marie Jouannic
    UPMC Medical Faculty (Paris 6), Department of Fetal Medicine in Armand Trousseau Hospital (APHP), INSERM U1142 (LIMICS), 26 Avenue du Dr Arnold Netter, 75012, Paris, UE, France.

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