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RONNA Medical
RONNA Medical
Home
Company
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Scientific studies
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Contact
Home
Company
Products
Scientific studies
Team
Contact
  • Abstract:

    This study reports the first combined brain biopsy and external ventricular drainage (EVD) placement using the RONNA G4 robotic system. The procedure demonstrated feasibility and safety in a single operative session. 

    Conclusion:

    The RONNA G4 system effectively facilitated combined brain biopsy and EVD placement, offering a promising approach for complex neurosurgical procedures. 

    Authors: Raguž, M.; Dlaka, D.; Orešković, D.; Kaštelančić, A.; Chudy, D.; Jerbić, B.; Šekoranja, B.; Šuligoj, F.; Švaco, M.

    Journal: Journal of Surgical Case Reports

    Year: 2022 (5), rjac151

    Link to the Paper: https://doi.org/10.1093/jscr/rjac151

  • Abstract:

    This prospective study evaluated 23 robot-assisted frameless brain biopsies using the RONNA G4 system. The diagnostic yield was 95.6%, with an average target point error of 2.15 ± 1.22 mm. 

    Conclusion:

    The RONNA G4 system is a safe and accurate tool for brain biopsy, with a high diagnostic yield and minimal complications. 

    Authors: Dlaka, D.; Švaco, M.; Chudy, D.; Jerbić, B.; Šekoranja, B.; Šuligoj, F.; Vidaković, J.; Almahariq, F.; Romić, D.; Raguž, M.

    Journal: Croat Med J

    Year: 2021, 62 (4), 318–327.

    Link to the Paper: https://doi.org/10.3325/cmj.2021.62.318

  • Abstract:

    This study assessed 32 robot-assisted frameless brain biopsies with the RONNA G4 system. The mean entry point error was 1.42 ± 0.74 mm, and the diagnostic yield was 96.87%. 

    Conclusion:

    The RONNA G4 system provides precise and highly accurate assistance for frameless brain biopsies, with a high diagnostic yield. 

    Authors: Dlaka, D.; Švaco, M.; Chudy, D.; Jerbić, B.; Šekoranja, B.; Šuligoj, F.; Vidaković, J.; Romić, D.; Raguž, M

    Journal: Int J Med Robot

    Year: 6 February 2021, rcs.2245.

    Link to the Paper: https://doi.org/10.1002/rcs.2245

  • Abstract:

    This review examines various phantom designs used in stereotactic neurosurgery for system calibration and accuracy assessment. It highlights the importance of phantom models in evaluating robotic systems. 

    Conclusion:

    Phantom models are essential for calibrating and assessing the accuracy of stereotactic neurosurgical systems, ensuring optimal performance. 

    Authors: Švaco, M.; Stiperski, I.; Dlaka, D.; Šuligoj, F.; Jerbić, B.; Chudy, D.; Raguž, M.

    Journal: Front. Neurorobot.

    Year: 2020, 14, 549603.

    Link to the Paper: https://doi.org/10.3389/fnbot.2020.549603

  • Abstract:

    This study introduces an automated patient registration framework using fiducial markers in robotic neurosurgery. The algorithm achieved a high success rate in point pairing, enhancing registration accuracy. 

    Conclusion:

    Automated patient registration using fiducial markers improves accuracy and efficiency in robotic neurosurgical procedures. 

    Authors: Šuligoj, F.; Jerbić, B.; Švaco, M.; Šekoranja, B.

    Journal: International Journal of Simulation Modelling

    Year: 2018, 17 (3), 458–471

    Link to the Paper: https://doi.org/10.2507/IJSIMM17(3)442

  • Abstract:

    This paper analyzes the impact of different localization strategies on the accuracy of the RONNA robotic system. The study found that specific strategies significantly reduce application errors. 

    Conclusion:

    Implementing optimal localization strategies enhances the accuracy of robotic neurosurgical systems. 

    Authors: Šuligoj, F.; Jerbić, B.; Šekoranja, B.; Vidaković, J.; Švaco, M.

    Journal: Transactions of FAMENA

    Year: 2018, 42 (2), 27–38.

    Link to the Paper: https://doi.org/10.21278/TOF.42203

  • Abstract:

    This case study presents a brain biopsy performed using the RONNA G3 robotic system. The procedure was successful with no complications, demonstrating the system's efficacy. 

    Conclusion:

    The RONNA G3 system is a safe and precise tool for brain biopsy, offering a reliable alternative to traditional methods. 


    Authors:
    Šuligoj, F.; Jerbić, B.; Švaco, M.; Šekoranja, B.

    Journal: The International Journal of Medical Robotics and Computer Assisted Surgery

    Year: 2017, 1–7.

    Link to the Paper: https://doi.org/10.1002/rcs.1884

  • Abstract:

    This research addresses the challenges of positioning collaborative robots in neurosurgery. It proposes strategies to optimize robot placement, enhancing surgical outcomes. 

    Conclusion:

    Effective positioning strategies are crucial for the successful application of collaborative robots in neurosurgery. 


    Authors:
    Vidaković, J.; Jerbić, B.; Švaco, M.; Šuligoj, F.; Šekoranja, B.

    Journal: Tehnicki vjesnik - Technical Gazette

    Year: 2017, 24 (6)

    Link to the Paper: https://doi.org/10.17559/TV-20170213110534

* All images displayed represent a pre-certification product and are for illustrative purposes only. *


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