Literature DB >> 28604237

Robotically Driven CT-guided Needle Insertion: Preliminary Results in Phantom and Animal Experiments.

Takao Hiraki1, Tetsushi Kamegawa1, Takayuki Matsuno1, Jun Sakurai1, Yasuzo Kirita1, Ryutaro Matsuura1, Takuya Yamaguchi1, Takanori Sasaki1, Toshiharu Mitsuhashi1, Toshiyuki Komaki1, Yoshihisa Masaoka1, Yusuke Matsui1, Hiroyasu Fujiwara1, Toshihiro Iguchi1, Hideo Gobara1, Susumu Kanazawa1.   

Abstract

Purpose To evaluate the accuracy of the remote-controlled robotic computed tomography (CT)-guided needle insertion in phantom and animal experiments. Materials and Methods In a phantom experiment, 18 robotic and manual insertions each were performed with 19-gauge needles by using CT fluoroscopic guidance for the evaluation of the equivalence of accuracy of insertion between the two groups with a 1.0-mm margin. Needle insertion time, CT fluoroscopy time, and radiation exposure were compared by using the Student t test. The animal experiments were approved by the institutional animal care and use committee. In the animal experiment, five robotic insertions each were attempted toward targets in the liver, kidneys, lungs, and hip muscle of three swine by using 19-gauge or 17-gauge needles and by using conventional CT guidance. The feasibility, safety, and accuracy of robotic insertion were evaluated. Results The mean accuracies of robotic and manual insertion in phantoms were 1.6 and 1.4 mm, respectively. The 95% confidence interval of the mean difference was -0.3 to 0.6 mm. There were no significant differences in needle insertion time, CT fluoroscopy time, or radiation exposure to the phantom between the two methods. Effective dose to the physician during robotic insertion was always 0 μSv, while that during manual insertion was 5.7 μSv on average (P < .001). Robotic insertion was feasible in the animals, with an overall mean accuracy of 3.2 mm and three minor procedure-related complications. Conclusion Robotic insertion exhibited equivalent accuracy as manual insertion in phantoms, without radiation exposure to the physician. It was also found to be accurate in an in vivo procedure in animals. © RSNA, 2017 Online supplemental material is available for this article.

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Year:  2017        PMID: 28604237     DOI: 10.1148/radiol.2017162856

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  8 in total

1.  Robotic needle insertion during computed tomography fluoroscopy-guided biopsy: prospective first-in-human feasibility trial.

Authors:  Takao Hiraki; Tetsushi Kamegawa; Takayuki Matsuno; Jun Sakurai; Toshiyuki Komaki; Takuya Yamaguchi; Koji Tomita; Mayu Uka; Yusuke Matsui; Toshihiro Iguchi; Hideo Gobara; Susumu Kanazawa
Journal:  Eur Radiol       Date:  2019-08-23       Impact factor: 5.315

2.  Robot-assisted flexible needle insertion using universal distributional deep reinforcement learning.

Authors:  Xiaoyu Tan; Yonggu Lee; Chin-Boon Chng; Kah-Bin Lim; Chee-Kong Chui
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-11-25       Impact factor: 2.924

3.  Robotic Tissue Sampling for Safe Post-Mortem Biopsy in Infectious Corpses.

Authors:  Maximilian Neidhardt; Stefan Gerlach; Robin Mieling; Max-Heinrich Laves; Thorben Weib; Martin Gromniak; Antonia Fitzek; Dustin Mobius; Inga Kniep; Alexandra Ron; Julia Schadler; Axel Heinemann; Klaus Puschel; Benjamin Ondruschka; Alexander Schlaefer
Journal:  IEEE Trans Med Robot Bionics       Date:  2022-01-26

4.  Clinical evaluation of a robotic system for precise CT-guided percutaneous procedures.

Authors:  Shiran Levy; S Nahum Goldberg; Ido Roth; Moran Shochat; Jacob Sosna; Isaac Leichter; Sebastian Flacke
Journal:  Abdom Radiol (NY)       Date:  2021-06-19

5.  Feasibility, safety and accuracy of a CT-guided robotic assistance for percutaneous needle placement in a swine liver model.

Authors:  Boris Guiu; Thierry De Baère; Guillaume Noel; Maxime Ronot
Journal:  Sci Rep       Date:  2021-03-04       Impact factor: 4.379

6.  Risk Assessment-Oriented Design of a Needle Insertion Robotic System for Non-Resectable Liver Tumors.

Authors:  Bogdan Gherman; Nadim Al Hajjar; Paul Tucan; Corina Radu; Calin Vaida; Emil Mois; Alin Burz; Doina Pisla
Journal:  Healthcare (Basel)       Date:  2022-02-18

7.  Robotic assistance for percutaneous needle insertion in the kidney: preclinical proof on a swine animal model.

Authors:  Thierry de Baere; Charles Roux; Guillaume Noel; Alexandre Delpla; Frederic Deschamps; Eloi Varin; Lambros Tselikas
Journal:  Eur Radiol Exp       Date:  2022-03-08

Review 8.  Robot-Assisted Image-Guided Interventions.

Authors:  Michael Unger; Johann Berger; Andreas Melzer
Journal:  Front Robot AI       Date:  2021-07-12
  8 in total

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