PLoS ONE (Jan 2024)

Prediction of final pathology depending on preoperative myometrial invasion and grade assessment in low-risk endometrial cancer patients: A Korean Gynecologic Oncology Group ancillary study.

  • Dong-Hoon Jang,
  • Hyun-Gyu Lee,
  • Banghyun Lee,
  • Sokbom Kang,
  • Jong-Hyeok Kim,
  • Byoung-Gie Kim,
  • Jae-Weon Kim,
  • Moon-Hong Kim,
  • Xiaojun Chen,
  • Jae Hong No,
  • Jong-Min Lee,
  • Jae-Hoon Kim,
  • Hidemich Watari,
  • Seok Mo Kim,
  • Sung Hoon Kim,
  • Seok Ju Seong,
  • Dae Hoon Jeong,
  • Yun Hwan Kim

DOI
https://doi.org/10.1371/journal.pone.0305360
Journal volume & issue
Vol. 19, no. 6
p. e0305360

Abstract

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ObjectivesFertility-sparing treatment (FST) might be considered an option for reproductive patients with low-risk endometrial cancer (EC). On the other hand, the matching rates between preoperative assessment and postoperative pathology in low-risk EC patients are not high enough. We aimed to predict the postoperative pathology depending on preoperative myometrial invasion (MI) and grade in low-risk EC patients to help extend the current criteria for FST.Methods/materialsThis ancillary study (KGOG 2015S) of Korean Gynecologic Oncology Group 2015, a prospective, multicenter study included patients with no MI or MI ResultsAmong 251 eligible patients, Groups 1-4 included 106, 41, 74, and 30 patients, respectively. The new prediction models showed superior prediction values to those from conventional analysis. In the new prediction models, the best NPV, sensitivity, and AUC of preoperative each group to predict postoperative each group were as follows: 87.2%, 71.6%, and 0.732 (Group 1); 97.6%, 78.6%, and 0.656 (Group 2); 71.3%, 78.6% and 0.588 (Group 3); 91.8%, 64.9%, and 0.676% (Group 4).ConclusionsIn low-risk EC patients, the prediction of postoperative pathology was ineffective, but the new prediction models provided a better prediction.