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Comparison of three different risk-stratification models for predicting lymph node involvement in endometrioid endometrial cancer clinically confined to the uterus.

Vakkas KorkmazMehmet Mutlu Meydanlıİbrahim YalçınMustafa Erkan SarıHanifi SahinEda KocamanAli HaberalPolat DursunTayfun GüngörAli Ayhan
Published in: Journal of gynecologic oncology (2018)
The ESMO-modified classification seems to be the risk-stratification model that most accurately predicts LN involvement in endometrioid EC clinically confined to the uterus. However, the Mayo-modified classification may be an alternative model to achieve a precise balance between the desire to prevent over-treatment and the ability to diagnose LN involvement.
Keyphrases
  • endometrial cancer
  • lymph node
  • machine learning
  • deep learning
  • neoadjuvant chemotherapy
  • squamous cell carcinoma
  • early stage
  • radiation therapy
  • combination therapy
  • sentinel lymph node
  • rectal cancer
  • locally advanced