Construction and validation of a preoperative malignancy risk prediction model for ovarian-adnexal masses based on clinical and ultrasonographic features - Takeaways - MDSpire

Construction and validation of a preoperative malignancy risk prediction model for ovarian-adnexal masses based on clinical and ultrasonographic features

  • By

  • Liyan Zhang

  • Li Xiao

  • Huan Yang

  • Haiyan Wang

  • June 11, 2026

  • 0 min

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  • 1

    A nomogram was developed to predict the malignancy risk of ovarian-adnexal masses using clinical and ultrasound characteristics.

  • 2

    The study analyzed 930 patients with pathologically confirmed ovarian-adnexal masses, utilizing a training and validation set approach.

  • 3

    LASSO regression identified 8 independent risk factors for malignancy, including menopausal status and ultrasound features.

  • 4

    Machine learning models demonstrated excellent discriminatory performance, with AUC values reaching up to 0.97 for the nomogram.

  • 5

    The nomogram offers a quantitative basis for individualized treatment plans and shows potential for clinical decision-making.

Original Source(s)

Construction and validation of a preoperative malignancy risk prediction model for ovarian-adnexal masses based on clinical and ultrasonographic features

  • by Liyan Zhang, Li Xiao, Huan Yang, Haiyan Wang

  • June 11, 2026

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