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Developing a multivariable normal tissue complication probability model to predict late rectal bleeding following

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A new model predicts rectal bleeding after radiation therapy. Platelet count, patient risk group, and rectal V65 are key factors for predicting moderate to severe bleeding.

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Area of Science:

  • Radiation Oncology
  • Medical Physics
  • Oncology

Background:

  • Intensity-modulated radiation therapy (IMRT) is a common treatment for prostate cancer.
  • Late rectal bleeding (grade 2+) is a significant complication following IMRT.
  • Predictive models are needed to identify patients at higher risk.

Purpose of the Study:

  • To develop a multivariable normal tissue complication probability (NTCP) model.
  • To predict moderate to severe late rectal bleeding after IMRT for prostate cancer.
  • To identify key predictors for rectal bleeding.

Main Methods:

  • Sixty-eight prostate cancer patients treated with IMRT were analyzed.
  • The least absolute shrinkage and selection operator (LASSO) identified model predictors.
  • A multivariable logistic regression model was developed.

Main Results:

  • Platelet count, D'Amico risk group, and rectal volume receiving 65 Gy (V65) were significant predictors.
  • The developed NTCP model demonstrated predictive capability for grade 2+ rectal bleeding.
  • The model equation incorporates these three key predictors.

Conclusions:

  • A LASSO-based NTCP model effectively predicts grade 2+ late rectal bleeding after IMRT.
  • Platelet count, risk group, and V65 are crucial factors in rectal complication prediction.
  • This model can aid in personalized treatment planning to minimize rectal toxicity.