From AI-based image analysis to surgical decision support in prostate cancer: interdisciplinary application of the international radiomics platform - Takeaways - MDSpire

From AI-based image analysis to surgical decision support in prostate cancer: interdisciplinary application of the international radiomics platform

  • By

  • Fabian Tollens

  • Niklas Westhoff

  • Jan Moltz

  • Tim Hartenstein

  • Anne Sophie Michel

  • Mahnoosh Naeimi

  • Johannes Ludwig

  • Peter Kohlmann

  • Judith Herrmann

  • Konstantin Nikolaou

  • Stefan O. Schoenberg

  • Dominik Nörenberg

  • May 29, 2026

  • 0 min

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  • 1

    The study aimed to integrate AI-driven analysis with surgical decision support for prostate cancer using the International Radiomics Platform.

  • 2

    A total of 249 patients undergoing radical prostatectomy were included, with data harmonized from multiparametric MRI and clinical sources.

  • 3

    The integration of imaging-derived parameters significantly improved predictions for extracapsular extension, achieving an AUC of 0.90.

  • 4

    Radiomics features did not enhance predictions for positive surgical margins or nerve-sparing decisions beyond conventional clinical parameters.

  • 5

    The findings highlight the potential and limitations of AI integration in clinical workflows for prostate cancer surgical planning.

Original Source(s)

From AI-based image analysis to surgical decision support in prostate cancer: interdisciplinary application of the international radiomics platform

  • by Fabian Tollens, Niklas Westhoff, Jan Moltz, Tim Hartenstein, Anne Sophie Michel, Mahnoosh Naeimi, Johannes Ludwig, Peter Kohlmann, Judith Herrmann, Konstantin Nikolaou, Stefan O. Schoenberg, Dominik Nörenberg

  • May 29, 2026

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