Development and in vivo assessment of a novel MRI-compatible headframe system for the ovine animal model.
MR-compatible headframe
animal model
invivo trial
neurosurgery
ovine model
Journal
The international journal of medical robotics + computer assisted surgery : MRCAS
ISSN: 1478-596X
Titre abrégé: Int J Med Robot
Pays: England
ID NLM: 101250764
Informations de publication
Date de publication:
Aug 2021
Aug 2021
Historique:
revised:
26
02
2021
received:
30
07
2020
accepted:
26
03
2021
pubmed:
6
4
2021
medline:
19
8
2021
entrez:
5
4
2021
Statut:
ppublish
Résumé
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. 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. 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. These trial results demonstrate the robustness of the head frame system and its suitability to be employed within a real clinical setting.
Sections du résumé
BACKGROUND
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
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
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
CONCLUSIONS
These trial results demonstrate the robustness of the head frame system and its suitability to be employed within a real clinical setting.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2257Subventions
Organisme : H2020 European Institute of Innovation and Technology
ID : 688279
Organisme : European Union's EU Research and Innovation Programme Horizon 2020
ID : 688279
Informations de copyright
© 2021 The Authors. The International Journal of Medical Robotics and Computer Assisted Surgery published by John Wiley & Sons Ltd.
Références
Martini L, Fini M, Giavaresi G, Giardino R. Sheep model in orthopedic research: a literature review. Comp Med. 2001;51(4):292-299.
Dai J-X, Ma Y-B, Le N-Y, Cao J, Wang Y. Large animal models of traumatic brain injury. Int J Neurosci. 2018;128(3):243-254.
Karageorgos L, Hein L, Rozaklis T, et al. Glycosphingolipid analysis in a naturally occurring ovine model of acute neuronopathic Gaucher disease. Neurobiol Dis. 2016;91:143-154. https://doi.org/10.1016/j.nbd.2016.03.011
Reid SJ, Mckean NE, Henty K, et al. Alzheimer's disease markers in the aged sheep (Ovis aries). Neurobiol Aging. 2017;58:112-119. https://doi.org/10.1016/j.neurobiolaging.2017.06.020
Stypulkowski PH, Stanslaski SR, Jensen RM, Denison TJ, Giftakis JE. Brain stimulation for epilepsy - local and remote modulation of network excitability. Brain Stimul. 2014;7(3):350-358. https://doi.org/10.1016/j.brs.2014.02.002
Stypulkowski PH, Giftakis JE, Billstrom TM. Development of a large animal model for investigation of deep brain stimulation for epilepsy. Stereotact Funct Neurosurg. 2011;89:111-122. https://doi.org/10.1159/000323343
Stypulkowski PH, Stanslaski SR, Giftakis JE. Modulation of hippocampal activity with fornix deep brain stimulation. Brain Stimul. 2017;10(6):1125-1132. https://doi.org/10.1016/j.brs.2017.09.002
Bjarkam CR, Cancian G, Glud AN, Ettrup KS, Jørgensen RL, Sørensen J-C. MRI-guided stereotaxic targeting in pigs based on a stereotaxic localizer box fitted with an isocentric frame and use of SurgiPlan computer-planning software. J Neurosci Methods. 2009;183(2):119-126. https://doi.org/10.1016/j.jneumeth.2009.06.019
White E, Woolley M, Bienemann A, et al. A robust MRI-compatible system to facilitate highly accurate stereotactic administration of therapeutic agents to targets within the brain of a large animal model. J Neurosci Methods. 2011;195(1):78-87. https://doi.org/10.1016/j.jneumeth.2010.10.023
Oheim R, Beil FT, Barvencik F, et al. Targeting the lateral but not the third ventricle induces bone loss in Ewe. J Trauma Acute Care Surg. 2012;72(3):720-726.
Perentos N, Nicol AU, Martins AQ, Stewart JE, Taylor P, Morton AJ. Techniques for chronic monitoring of brain activity in freely moving sheep using wireless EEG recording. J Neurosci Methods. 2017;279:87-100. https://doi.org/10.1016/j.jneumeth.2016.11.010
Bjarkam CR, Cancian G, Larsen M, et al. A MRI-compatible stereotaxic localizer box enables high-precision stereotaxic procedures in pigs. J Neurosci Methods. 2004;139(2):293-298.
Edwards CA, Rusheen AE, Oh Y, et al. A novel re-attachable stereotactic frame for MRI-guided neuronavigation and its validation in a large animal and human cadaver model. J Neural Eng. 2018;15(6):066003. https://doi.org/10.1088/1741-2552/aadb49
Flecknell P. Replacement, reduction and refinement. ALTEX. 2002;19(2):73-78.
Pieri V, Trovatelli M, Cadioli M, et al. In vivo diffusion tensor magnetic resonance tractography of the sheep brain: an atlas of the ovine white matter fiber bundles. Front Vet Sci. 2019;6:345. https://doi.org/10.3389/fvets.2019.00345
Nitzsche Br, Frey S, Collins LD, et al. A stereotaxic, population-averaged T1w ovine brain atlas including cerebral morphology and tissue volumes. Front Neuroanat. 2015;9:69. https://doi.org/10.3389/fnana.2015.00069
Fedorov A, Beichel R, Kalpathy-Cramer J, et al. 3D slicer as an image computing platform for the quantitative imaging network. Magn Reson Imaging. 2012;30(9):1323-1341. Quantitative Imaging in Cancer. https://doi.org/10.1016/j.mri.2012.05.001
Fitzpatrick JM, West JB. The distribution of target registration error in rigid-body point-based registration. IEEE Trans Med Imaging. 2001;20(9):917-927. https://doi.org/10.1109/42.952729
Site VA. Scanning Instructions for Use of the MR Phantom for the ACRTM MRI Accreditation Program, Reston. VA: The American College of Radiology; 2020.
Rosslyn. Determination of signal-to-noise ratio (SNR) in diagnostic magnetic resonance imaging. National Electrical Manufacturers Association (NEMA). 2008;229(3):215-224.
Kaufman L, Kramer DM, Crooks LE, Ortendahl DA. Measuring signal-to-noise ratios in MR imaging. Radiology. 1989;173(1):265-267. https://doi.org/10.1148/radiology.173.1.2781018
Henkelman RM. Measurement of signal intensities in the presence of noise in MR images. Med Phys. 1985;12(2):232-233. https://doi.org/10.1118/1.595711
Dietrich O, Raya JG, Reeder SB, Reiser MF, Schoenberg SO. Measurement of signal-to-noise ratios in MR images: influence of multichannel coils, parallel imaging, and reconstruction filters. J Magn Reson Imaging. 2007;26(2):375-385. https://doi.org/10.1002/jmri.20969
Nestler EJ, Hyman SE. Animal models of neuropsychiatric disorders. Nat Neurosci. 2010;13(10):1161-1169.
David JL, Christopher CJ, Ian MC, et al. Continual recordings of cardiac sympathetic nerve activity in conscious sheep. Am J Physiol Heart CircPhysiol. 2002;282(1):H93-H99.
Finnie J. Animal models of traumatic brain injury: a review. Australian Vet J. 2001;79(9):628-633. https://doi.org/10.1111/j.1751-0813.2001.tb10785.x
Capitanio JP, Emborg ME. Contributions of non-human primates to neuroscience research. Lancet. 2008;371(9618):1126-1135. https://doi.org/10.1016/S0140-6736(08)60489-4
Grow DA, McCarrey JR, Navara CS. Advantages of nonhuman primates as preclinical models for evaluating stem cell-based therapies for Parkinson's disease. Stem Cell Res. 2016;17(2):352-366. https://doi.org/10.1016/j.scr.2016.08.013
Lind NM, Moustgaard A, Jelsing J, Vajta G, Cumming P, Hansen AK. The use of pigs in neuroscience: modeling brain disorders. Neurosci Biobehav Rev. 2007;31(5):728-751. https://doi.org/10.1016/j.neubiorev.2007.02.003
Sauleau P, Lapouble E, Val-Laillet D, Malbert C-H. The pig model in brain imaging and neurosurgery. Animal. 2009;3(8):1138-1151. https://doi.org/10.1017/S1751731109004649
Jan R. Surgery of the Brain and Spinal Cord in a Porcine Model: 165-173. New York, NY: Springer New York; 2016.
Taverner MR, Campbell RG, King RH, Johnson RJ. Effects of gender and genotype on the response of growing pigs to exogenous administration of porcine growth hormone1. J Animal Sci. 1990;68(9):2674-2681. https://doi.org/10.2527/1990.6892674x
Nitzsche B, Henryk B, Donald L, Johannes B, Vilia Z, DA Y. Focal Cerebral Ischemia by Permanent Middle Cerebral Artery Occlusion in Sheep: Surgical Technique, Clinical Imaging, and Histopathological Results: 195-225. New York, NY: Springer New York; 2016.
Bom vdI, Moser R, Gao G, et al. Finding the striatum in sheep: use of a multi-modal guided approach for convection enhanced delivery. J Huntingt Dis. 2013;2(1):41-45. https://doi.org/10.3233/JHD-130053
Staudacher A, Oevermann A, Stoffel MH, Gorgas D. Validation of a magnetic resonance imaging guided stereotactic access to the ovine brainstem. BMC Vet Res. 2014;10(216). https://doi.org/10.1186/s12917-014-0216-5
Kucharczyk W, Bernstein M. Do the benefits of image guidance in neurosurgery justify the costs? From stereotaxy to intraoperative MR\enleadertwodots. Am J Neuroradiol. 1997;18(10):1855-1859.
Sciortino T, Fernandes B, Conti Nibali M, et al. Frameless stereotactic biopsy for precision neurosurgery: diagnostic value, safety, and accuracy. Acta Neurochir. 2019;161(5):967-974. https://doi.org/10.1007/s00701-019-03873-w
Dhawan S, He Y, Bartek J, Alattar AA, Chen CC. Comparison of frame-based versus frameless intracranial stereotactic biopsy: systematic review and meta-analysis. World Neurosurg. 2019. https://doi.org/10.1016/j.wneu.2019.04.016
Smith JS, Quiñones-Hinojosa A, Barbaro NM, McDermott MW. Frame-based stereotactic biopsy remains an important diagnostic tool with distinct advantages over frameless stereotactic biopsy. J Neurooncol. 2005;73:173-179. https://doi.org/10.1007/s11060-004-4208-3