Artificial intelligence-enhanced magnetic resonance imaging-based pre-operative staging in patients with endometrial cancer.

Journal: International journal of gynecological cancer : official journal of the International Gynecological Cancer Society
PMID: 39878275

Abstract

OBJECTIVE: Evaluation of prognostic factors is crucial in patients with endometrial cancer for optimal treatment planning and prognosis assessment. This study proposes a deep learning pipeline for tumor and uterus segmentation from magnetic resonance imaging (MRI) images to predict deep myometrial invasion and cervical stroma invasion and thus assist clinicians in pre-operative workups.

Authors

  • Lise Lecointre
    IHU Strasbourg, Strasbourg, France; University of Strasbourg, UMR 7357 CNRS, ICube, Strasbourg, France; University Hospitals of Strasbourg, Strasbourg, France.
  • Julia Alekseenko
    Institute of Image-Guided Surgery, IHU Strasbourg, France; University of Strasbourg, ICube, Laboratory of Engineering, Computer Science and Imaging, Department of Robotics, Imaging, Teledetection and Healthcare Technologies, CNRS, UMR, Strasbourg, France.
  • Matteo Pavone
    IHU Strasbourg, Strasbourg, France; UOC Ginecologia Oncologica, Dipartimento di Scienze per la salute della Donna e del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy; University of Strasbourg, UMR 7357 CNRS, ICube, Strasbourg, France; IRCAD Strasbourg, Strasbourg, France.
  • Alexandros Karargyris
    IHU Strasbourg, Strasbourg, France.
  • Francesco Fanfani
    Department of Medicine and Aging Sciences, University "G. d'Annunzio" of Chieti-Pescara, Chieti, Italy.
  • Anna Fagotti
    Department of Women's, Child and Public Health Sciences, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy.
  • Giovanni Scambia
    Division of Gynecological Oncology, Department of Obstetrics and Gynecology, Catholic University of Sacred Heart, Rome, Italy.
  • Denis Querleu
    UOC Ginecologia Oncologica, Dipartimento di Scienze per la salute della Donna e del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
  • Cherif Akladios
    Department of Obstetrics and Reproductive Medicine, Strasbourg University Hospital, Strasbourg, France.
  • Jérémy Dana
    IHU of Strasbourg, Strasbourg, France; Inserm & University of Strasbourg UMR-S1110, Strasbourg, France; Faculty of Medicine, University of Paris, Paris, France.
  • Nicolas Padoy
    IHU Strasbourg, Strasbourg, France.

Keywords

External Resources

Popular Topics
Recent Journals