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Robot-assisted MRI/US transperineal target prostate biopsy with Biobot Mona Lisa 2.0: first experience in Europe

Prostate Cancer and Prostatic Diseases (2026)Cite this article

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Abstract

Introduction

The Mona Lisa 2.0 robotic platform integrates MRI/ultrasound fusion, AI-based prostate segmentation, and automated needle trajectory planning to optimize transperineal targeted biopsy (TB) precision.

Case presentation

We report the first European experience in 10 consecutive patients undergoing robot-assisted TB, with optional systematic cores. Clinically significant prostate cancer was detected in all rTB procedures. Standard cores added limited diagnostic yield and mainly sampled perilesional “penumbra” areas. Mean biopsy duration was 12.9 min, no peri- or post-procedural complications occurred, and high-quality tissue samples were consistently obtained.

Conclusions

These preliminary data confirm feasibility, safety, and reproducibility of Mona Lisa 2.0 robotic platform, as a new kid on the block in urologic robotic armamentarium.

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Fig. 1: The Biobot system.

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Acknowledgements

This work was supported by FPRC 5×1000 Ministero della Salute 2021 EMAGEN and Italian Ministry of Health, Ricerca Corrente 2025.

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Authors and Affiliations

  1. Division of Urology, Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Turin, Italy

    Enrico Checcucci, Gabriele Bignante, Gabriele Volpi, Saverio Liguori, Paolo Alessio, Michele Sica, Michele Ortenzi, Daniele Amparore & Francesco Porpiglia

  2. Division of Anesthesiology, Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Turin, Italy

    Alessandra Saliva & Alessandro Cerutti

  3. Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy

    Alberto Piana & Stefano De Luca

Authors
  1. Enrico Checcucci
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  2. Gabriele Bignante
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  3. Gabriele Volpi
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  4. Saverio Liguori
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  5. Paolo Alessio
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  6. Michele Sica
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  7. Michele Ortenzi
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  8. Daniele Amparore
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  9. Alessandra Saliva
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  10. Alberto Piana
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  11. Stefano De Luca
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  12. Alessandro Cerutti
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  13. Francesco Porpiglia
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Contributions

Manuscript writing: EC. Data collection: GB, GV, SL, PA, MS, MO, AP. Statistical analysis: EC, GB. Supervision: DA, SDL, AS, AC, FP.

Corresponding author

Correspondence to Enrico Checcucci.

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Checcucci, E., Bignante, G., Volpi, G. et al. Robot-assisted MRI/US transperineal target prostate biopsy with Biobot Mona Lisa 2.0: first experience in Europe. Prostate Cancer Prostatic Dis (2026). https://doi.org/10.1038/s41391-026-01094-8

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