Development and validation of multidimensional nomograms for predicting prostate cancer risk: a retrospective study - Takeaways - MDSpire

Development and validation of multidimensional nomograms for predicting prostate cancer risk: a retrospective study

  • By

  • Tao Zhang

  • Xue Li

  • Junsong Zeng

  • Maosen Xu

  • Yan Tie

  • June 30, 2026

  • 0 min

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  • 1

    The study developed two logistic regression models to predict prostate cancer and high-grade disease in men with tPSA >10 ng/mL.

  • 2

    Model 1 distinguished benign from malignant cases, while Model 2 differentiated high-grade from low-grade cancer among malignant cases.

  • 3

    The study included 461 men, with 54.7% diagnosed with prostate cancer and 55.2% of those having high-grade disease.

  • 4

    Model 1 achieved a validation AUC of 0.871, and Model 2 had an AUC of 0.779, indicating strong predictive performance.

  • 5

    Both models outperformed fPSA% alone in risk stratification, potentially reducing unnecessary biopsies.

Original Source(s)

Development and validation of multidimensional nomograms for predicting prostate cancer risk: a retrospective study

  • by Tao Zhang, Xue Li, Junsong Zeng, Maosen Xu, Yan Tie

  • June 30, 2026

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