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Selective Clamping for Robot-Assisted Surgical Procedures.

Gabriele Furnari, Marco Minelli, Stefano Puliatti

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    Summary

    This study presents a system for precise renal artery clamping during partial nephrectomy to minimize kidney ischemia. The automated approach identifies optimal clamping points, enhancing surgical outcomes and preserving renal parenchyma health.

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    Area of Science:

    • Surgical Innovation
    • Medical Robotics
    • Renal Physiology

    Background:

    • Partial nephrectomy is standard for renal tumors, requiring renal artery clamping.
    • Temporary blood flow interruption can cause renal ischemia and damage.
    • Selective clamping aims to minimize ischemia by targeting tumor-feeding arteries.

    Purpose of the Study:

    • To develop an automated system for identifying optimal renal artery clamping points.
    • To minimize renal parenchyma ischemia during partial nephrectomy.
    • To integrate this system with robotic surgery for automated clamping procedures.

    Main Methods:

    • Development of a computational method to determine optimal clamping points.
    • Algorithm design for selective renal artery clamping.

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  • Validation of the system using diverse patient anatomies and a robotic surgical setup.

    • Main Results:

    • The proposed system successfully identifies optimal clamping points.
    • The method effectively minimizes the percentage of renal ischemia.
    • Robotic emulation of the clamping procedure demonstrates feasibility.

    Conclusions:

    • Automated identification of clamping points can significantly reduce renal ischemia during partial nephrectomy.
    • This technology enhances the precision and safety of robotic-assisted partial nephrectomy.
    • The system contributes to preserving renal function after tumor removal.