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

Research output: Contribution to journalArticle

18 Citations (Scopus)

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

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

Fingerprint

Dive into the research topics of 'Development and external validation of new ultrasound-based mathematical models for preoperative prediction of high-risk endometrial cancer'. Together they form a unique fingerprint.

Cite this