Robotic Needle-Guidance System for Prostate Biopsy

iSR’obot Mona Lisa 1.0 is a robotic needle-guidance system designed for urologist to plan and position biopsy needles on the locations as planned. With the ability to visualize lesions and confirm sampling on the identified lesions, urologists can localize and characterize prostate cancer.

Clinical studies using the first-generation iSR’obot Mona Lisa showed improvement in the detection of clinically significant prostate cancer, and minimal complications1-5.

HOW IT WORKS

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    A Robotic Needle-Guidance System

    iSR’obot Mona Lisa 1.0’s UroBiopsy software provides visualization and confirmation of the needle landing on the planned location on real-time transverse and sagittal ultrasound views.

    Correction of Needle Landing Location with Needle Deflection Adjustment

    The iSR’obot Mona Lisa 1.0’s UroBiopsy software corrects the   needle landing location by adjusting the Needle Guide for re-insertion of the needle to the planned location.

    Dual-Cone Needle Trajectory Technology Minimizes Complications

    The biopsy needle passes through a single point on each side of the mid-line on the perineum. The Needle Guide pivots to form a conical target zone. Multiple biopsy cores are extracted via the same two-needle punctures.

    Plan a Transperineal Prostate Biopsy Procedure with the iSR’obot Mona Lisa 1.0’s UroBiopsy Software

    1. SCAN

    During ultrasound scan, the Probe Sheath stabilizes the prostate and minimizes prostate deformation.

    2. MRI-US FUSION

    MRI-ultrasound fusion for targeted biopsy. 2D and 3D prostate and lesion models improves visualization of lesions and planned biopsy locations.

    3. PLAN

    Pre-defined targeted and saturation (12, 24 ,30 cores) plans facilitates biopsy plan customization.

    4. BIOPSY

    Robotic Arm guides the needle to the planned location. Needle landing location is confirmed on transverse and sagittal view.

    References:
    1. Mischinger, J., Kaufmann, S., Russo, G. I., Harland, N., Rausch, S., Amend, B., Scharpf, M., Loewe, L., Todenhoefer, T., Notohamiprodjo, M., Nikolaou, K., Stenzl, A., Bedke, J., & Kruck, S. (2018). Targeted vs systematic robot-assisted transperineal magnetic resonance imaging-transrectal ultrasonography fusion prostate biopsy. BJU international, 121(5), 791–798. https://doi.org/10.1111/bju.14089

    2. Kaufmann, S., Russo, G. I., Bamberg, F., Löwe, L., Morgia, G., Nikolaou, K., Stenzl, A., Kruck, S., & Bedke, J. (2018). Prostate cancer detection in patients with prior negative biopsy undergoing cognitive-, robotic- or in-bore MRI target biopsy. World journal of urology, 36(5), 761–768. https://doi.org/10.1007/s00345-018-2189-7

    3. Yang, X., Lee, A. Y., Law, Y. M., Sim, A., Tay, K. J., Lau, W., Ho, H., Yuen, J., & Chen, K. (2020). Stereotactic robot-assisted transperineal prostate biopsy under local anaesthesia and sedation: moving robotic biopsy from operating theatre to clinic. Journal of robotic surgery, 14(5), 767–772. https://doi.org/10.1007/s11701-020-01052-z

    4. Kroenig, M., Schaal, K., Benndorf, M., Soschynski, M., Lenz, P., Krauss, T., Drendel, V., Kayser, G., Kurz, P., Werner, M., Wetterauer, U., Schultze-Seemann, W., Langer, M., & Jilg, C. A. (2016). Diagnostic Accuracy of Robot-Guided, Software Based Transperineal MRI/TRUS Fusion Biopsy of the Prostate in a High Risk Population of Previously Biopsy Negative Men. BioMed research international, 2016, 2384894.

    5. Miah, S., Servian, P., Patel, A., Lovegrove, C., Skelton, L., Shah, T. T., Eldred-Evans, D., Arya, M., Tam, H., Ahmed, H. U., & Winkler, M. (2020). A prospective analysis of robotic targeted MRI-US fusion prostate biopsy using the centroid targeting approach. Journal of robotic surgery, 14(1), 69–74. https://doi.org/10.1007/s11701-019-00929-y