Nodal infiltration in endometrial cancer: a prediction model using best subset regression.

Yuka Kuriyama Matsumoto,Yuki Himoto,Mizuho Nishio,Nao Kikkawa,Satoshi Otani,Kimiteru Ito,Koji Yamanoi,Tomoyasu Kato,Koji Fujimoto,Yasuhisa Kurata,Yusaku Moribata,Hiroshi Yoshida,Sachiko Minamiguchi,Masaki Mandai,Aki Kido,Yuji Nakamoto

European radiology（2023）

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摘要

•Diagnostic performance of lymph node metastases (LNM) in endometrial cancer is low based on size criteria and can be improved by combining with other clinical information. •The optimized logistic regression model for regional LNM consists of lymph node ≥ 6 mm, deep myometrial invasion, cancer antigen-125, and biopsy, showing high diagnostic performance. •Our model predicts the preoperative risk of LNM, which may avoid unnecessary lymphadenectomies.

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