Literature DB >> 28875116

Performance of Robotic Assistance for Skull Base Biopsy: A Phantom Study.

Jian-Hua Zhu1, Jing Wang1, Yong-Gui Wang2, Meng Li2, Yu-Xing Guo1, Xiao-Jing Liu1, Chuan-Bin Guo1.   

Abstract

Objectives  This study aims to evaluate the feasibility of a custom robot system guided by optical cone beam computed tomography (CBCT)-based navigation for skull base biopsy. Design  An accuracy study was conducted. Setting  Platform for navigation and robot-aided surgery technology. Participants  Phantom skull. Main Outcome Measures  The primary outcome measure was to investigate the accuracy of robot-assisted needle biopsy for skull base tumors. A 14-gauge needle was automatically inserted by the five degrees of freedom robot into the intended target, guided by optical navigation. The result was displayed on the graphical user interface after matrix transformation. Postoperative image scanning was performed, and the result was verified with image fusion. Results  All 20 interventions were successfully performed. The mean deviation of the needle tip was 0.56 ± 0.22 mm (measured by the navigation system) versus 1.73 ± 0.60 mm (measured by image fusion) ( p  < 0.05). The mean insertion depth was 52.3 mm (range: 49.7-55.2 mm). The mean angular deviations off the x-axis, y-axis, and z-axis were 1.51 ± 0.67, 2.33 ± 1.65, and 1.47 ± 1.16 degrees, respectively. Conclusions  The experimental results show the robot system is efficient, reliable, and safe. The navigation accuracy is a significant factor in robotic procedures.

Entities:  

Keywords:  image-guided biopsy; navigation; robotics; skull base

Year:  2017        PMID: 28875116      PMCID: PMC5582959          DOI: 10.1055/s-0037-1602791

Source DB:  PubMed          Journal:  J Neurol Surg B Skull Base        ISSN: 2193-634X


  28 in total

1.  System for robotically assisted percutaneous procedures with computed tomography guidance.

Authors:  K Masamune; G Fichtinger; A Patriciu; R C Susil; R H Taylor; L R Kavoussi; J H Anderson; I Sakuma; T Dohi; D Stoianovici
Journal:  Comput Aided Surg       Date:  2001

2.  Robotically driven interventions: a method of using CT fluoroscopy without radiation exposure to the physician.

Authors:  Stephen B Solomon; Alexandru Patriciu; Mark E Bohlman; Louis R Kavoussi; Dan Stoianovici
Journal:  Radiology       Date:  2002-10       Impact factor: 11.105

3.  Prospects in percutaneous ablative targeting: comparison of a computer-assisted navigation system and the AcuBot Robotic System.

Authors:  Richard Pollock; Pierre Mozer; Thomas J Guzzo; Jonathan Marx; Brian Matlaga; Doru Petrisor; Bogdan Vigaru; Shadie Badaan; Dan Stoianovici; Mohamad E Allaf
Journal:  J Endourol       Date:  2010-08       Impact factor: 2.942

4.  Robot arm based flat panel CT-guided electromagnetic tracked spine interventions: phantom and animal model experiments.

Authors:  Tobias Penzkofer; Peter Isfort; Philipp Bruners; Christian Wiemann; Yiannis Kyriakou; Willi A Kalender; Rolf W Günther; Thomas Schmitz-Rode; Andreas H Mahnken
Journal:  Eur Radiol       Date:  2010-06-23       Impact factor: 5.315

Review 5.  Interventional robotic systems: applications and technology state-of-the-art.

Authors:  Kevin Cleary; Andreas Melzer; Vance Watson; Gernot Kronreif; Dan Stoianovici
Journal:  Minim Invasive Ther Allied Technol       Date:  2006       Impact factor: 2.442

6.  Force modeling for needle insertion into soft tissue.

Authors:  Allison M Okamura; Christina Simone; Mark D O'Leary
Journal:  IEEE Trans Biomed Eng       Date:  2004-10       Impact factor: 4.538

7.  Robot-assisted biopsy using computed tomography-guidance: initial results from in vitro tests.

Authors:  Joachim Kettenbach; Gernot Kronreif; Michael Figl; Martin Fürst; Wolfgang Birkfellner; Rudolf Hanel; Wolfgang Ptacek; Helmar Bergmann
Journal:  Invest Radiol       Date:  2005-04       Impact factor: 6.016

8.  Risk analysis and safety assessment in surgical robotics: a case study on a biopsy robot.

Authors:  W Korb; M Kornfeld; W Birkfellner; R Boesecke; M Figl; M Fuerst; J Kettenbach; A Vogler; S Hassfeld; G Kornreif
Journal:  Minim Invasive Ther Allied Technol       Date:  2005       Impact factor: 2.442

Review 9.  Needle insertion into soft tissue: a survey.

Authors:  Niki Abolhassani; Rajni Patel; Mehrdad Moallem
Journal:  Med Eng Phys       Date:  2006-08-28       Impact factor: 2.242

10.  C-Arm Cone-Beam CT Virtual Navigation-Guided Percutaneous Mediastinal Mass Biopsy: Diagnostic Accuracy and Complications.

Authors:  Hyungjin Kim; Chang Min Park; Sang Min Lee; Jin Mo Goo
Journal:  Eur Radiol       Date:  2015-04-28       Impact factor: 5.315

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