Literature DB >> 33817973

Development and in vivo assessment of a novel MRI-compatible headframe system for the ovine animal model.

Marco Trovatelli1, Stefano Brizzola1, Davide Danilo Zani1, Antonella Castellano2, Paola Mangili3, Marco Riva4, Max Woolley5, Dave Johnson5, Ferdinando Rodriguez Y Baena6, Lorenzo Bello4, Andrea Falini2, Riccardo Secoli6.   

Abstract

BACKGROUND: The brain of sheep has primarily been used in neuroscience as an animal model because of its similarity to the human brain, in particular if compared to other models such as the lissencephalic rodent brain. Their brain size also makes sheep an ideal model for the development of neurosurgical techniques using conventional clinical CT/MRI scanners and stereotactic systems for neurosurgery.
METHODS: In this study, we present the design and validation of a new CT/MRI compatible head frame for the ovine model and software, with its assessment under two real clinical scenarios.
RESULTS: Ex-vivo and in vivo trial results report an average linear displacement of the ovine head frame during conventional surgical procedures of 0.81 mm for ex-vivo trials and 0.68 mm for in vivo tests, respectively.
CONCLUSIONS: These trial results demonstrate the robustness of the head frame system and its suitability to be employed within a real clinical setting.
© 2021 The Authors. The International Journal of Medical Robotics and Computer Assisted Surgery published by John Wiley & Sons Ltd.

Entities:  

Keywords:  MR-compatible headframe; animal model; invivo trial; neurosurgery; ovine model

Year:  2021        PMID: 33817973     DOI: 10.1002/rcs.2257

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


  1 in total

1.  Modular robotic platform for precision neurosurgery with a bio-inspired needle: System overview and first in-vivo deployment.

Authors:  Riccardo Secoli; Eloise Matheson; Marlene Pinzi; Stefano Galvan; Abdulhamit Donder; Thomas Watts; Marco Riva; Davide Danilo Zani; Lorenzo Bello; Ferdinando Rodriguez Y Baena
Journal:  PLoS One       Date:  2022-10-19       Impact factor: 3.752

  1 in total

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