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Molecular and pathologic data to guide selection of patients with endometrioid endometrial cancer for ovarian preservation.

Beryl L Manning-GeistEric V Rios-DoriaYing L LiuLora H EllensonQin C ZhouAlexia IasonosMario L LeitaoNadeem R Abu-RustumBritta WeigeltJennifer J Mueller
Published in: International journal of gynecological cancer : official journal of the International Gynecological Cancer Society (2024)
The integration of molecular and pathologic data may improve risk stratification of pre-menopausal patients with endometrial cancer and enhance candidate selection for ovarian preservation.
Keyphrases
  • endometrial cancer
  • neoadjuvant chemotherapy
  • electronic health record
  • big data
  • locally advanced
  • squamous cell carcinoma
  • machine learning
  • radiation therapy
  • data analysis
  • lymph node
  • deep learning