The Development and External Validation of Artificial Intelligence-Driven MRI-Based Models to Improve Prediction of Lesion-Specific Extraprostatic Extension in Patients with Prostate Cancer


Ingeborg van den Berg, Timo F. W. Soeterik, Erik J. R. J. van der Hoeven,Bart Claassen , Wyger M. Brink, Diederik J. H. Baas, J. P. Michiel Sedelaar ,Lizette Heine, Jim Tol , Jochem R. N. van der Voort van Zyp, Cornelis A. T. van den Berg, Roderick C. N. van den Bergh, Jean-Paul A. van Basten, and Harm H. E. van Melick

  • The use of artificial intelligence algorithms can improve the prediction of lesion-specific histopathological extraprostatic extension (EPE) on MRI in prostate cancer patients. 
  • A lesion-specific prediction model can be helpful in counseling patients for radical prostatectomy and adequate preoperative information of the exact location of EPE may contribute to a total removal of the prostate cancer.