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Development and external validation of new ultrasound-based mathematical models for preoperative prediction of high-risk endometrial cancer

  • C. Van Holsbeke
  • , L. Ameye
  • , Antonia Carla Testa
  • , Floriana Mascilini
  • , P. Lindqvist
  • , D. Fischerova
  • , F. Frühauf
  • , S. Fransis
  • , E. De Jonge
  • , D. Timmerman
  • , E. Epstein
  • KU Leuven
  • Karolinska Institutet
  • Charles University
  • East Limburg Hospital

Research output: Contribution to journalArticle

Abstract

To develop and validate strategies, using new ultrasound-based mathematical models, for the prediction of high-risk endometrial cancer and compare them with strategies using previously developed models or the use of preoperative grading only.
Original languageEnglish
Pages (from-to)586-595
Number of pages10
JournalULTRASOUND IN OBSTETRICS & GYNECOLOGY
Volume43
DOIs
Publication statusPublished - 2014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Adult
  • Aged
  • Aged, 80 and over
  • Cervix Uteri
  • Early Detection of Cancer
  • Endometrial Neoplasms
  • Female
  • Humans
  • Middle Aged
  • Models, Theoretical
  • Myometrium
  • Neoplasm Invasiveness
  • Neoplasm Staging
  • Prospective Studies
  • Reproducibility of Results
  • Risk Assessment
  • Sensitivity and Specificity
  • Ultrasonics
  • Ultrasonography, Doppler, Color
  • endometrial cancer
  • high risk
  • mathematical models
  • prediction

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