Literature DB >> 17914750

Validation of the PathFinder neurosurgical robot using a phantom.

M S Eljamel1.   

Abstract

BACKGROUND: Minimally invasive surgery was born out of recent advances in neuro-imaging and stereotactic technology. As a result, the scale of neurosurgical procedures will soon be so small that it will not be within the ability of the most gifted and skilled neurosurgeons of today. Hence, neurosurgical robotics is the natural evolution in this field. The aim of this study was to evaluate the performance of a new robotic system in a neurosurgical phantom, comparing it to standard frame-based and frameless technology of today.
METHODS: In total, 19 different targets were approached by two standard stereotactic frames, the Stealth Station frameless system and the robot. The CRW and the ZD stereotactic frames were used. The frameless system was the Stealth Station image guidance system. The phantom used was a replica of the human skull fitted with 10 surface and nine deep targets.
RESULTS: The robotic system outperformed both frame-based and frameless systems in all experiments in this study. The application accuracies were: robot, 0.5 mm; stereotactic frames, 0.98 mm; and frameless system, 1.96 mm.
CONCLUSIONS: The robotic system was as accurate as the stereotactic frame, but without technical restrictions and cumbersome manual adjustments. Furthermore, the robotic system had near-absolute geometric accuracy, was reliable to perform the same procedure over and over without tiresomeness, variation or boredom, and would be impervious to biohazards and hostile environments. (c) 2007 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2007        PMID: 17914750     DOI: 10.1002/rcs.153

Source DB:  PubMed          Journal:  Int J Med Robot        ISSN: 1478-5951            Impact factor:   2.547


  8 in total

1.  Calibration of the motor-assisted robotic stereotaxy system: MARS.

Authors:  Maximilian Heinig; Ulrich G Hofmann; Alexander Schlaefer
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-03-14       Impact factor: 2.924

2.  Surgical bedside master console for neurosurgical robotic system.

Authors:  Jumpei Arata; Hajime Kenmotsu; Motoki Takagi; Tatsuya Hori; Takahiro Miyagi; Hideo Fujimoto; Yasukazu Kajita; Yuichiro Hayashi; Kiyoyuki Chinzei; Makoto Hashizume
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-05-15       Impact factor: 2.924

3.  An Integrated Robotic System for MRI-Guided Neuroablation: Preclinical Evaluation.

Authors:  Niravkumar A Patel; Christopher J Nycz; Paulo A Carvalho; Katie Y Gandomi; Radian Gondokaryono; Gang Li; Tamas Heffter; Everette Clif Burdette; Julie G Pilitsis; Gregory S Fischer
Journal:  IEEE Trans Biomed Eng       Date:  2020-02-17       Impact factor: 4.538

4.  Robotic-Assisted Stereotaxy for Deep Brain Stimulation Lead Implantation in Awake Patients.

Authors:  Amir H Faraji; Vasileios Kokkinos; James C Sweat; Donald J Crammond; R Mark Richardson
Journal:  Oper Neurosurg (Hagerstown)       Date:  2020-09-15       Impact factor: 2.703

5.  A Fully Actuated Robotic Assistant for MRI-Guided Precision Conformal Ablation of Brain Tumors.

Authors:  Gang Li; Niravkumar A Patel; Everette C Burdette; Julie G Pilitsis; Hao Su; Gregory S Fischer
Journal:  IEEE ASME Trans Mechatron       Date:  2020-07-29       Impact factor: 5.303

6.  Strategies for the return of behavioral surgery.

Authors:  Sam Eljamel
Journal:  Surg Neurol Int       Date:  2012-01-14

7.  [Stereotaxy and robotics for ablation - toy or tool?].

Authors:  R Bale; G Widmann; W Jaschke
Journal:  Radiologe       Date:  2012-01       Impact factor: 0.635

8.  Stereotactic Neuro-Navigation Phantom Designs: A Systematic Review.

Authors:  Marko Švaco; Ivan Stiperski; Domagoj Dlaka; Filip Šuligoj; Bojan Jerbić; Darko Chudy; Marina Raguž
Journal:  Front Neurorobot       Date:  2020-10-23       Impact factor: 2.650

  8 in total

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