A System-Agnostic, Adaptable and Extensible Animal Support Cradle System for Cardio-Respiratory-Synchronised, and Other, Multi-Modal Imaging of Small Animals.
handling apparatus
imaging-compatible
multi-modal imaging
multi-vendor
optimisation
Journal
Tomography (Ann Arbor, Mich.)
ISSN: 2379-139X
Titre abrégé: Tomography
Pays: Switzerland
ID NLM: 101671170
Informations de publication
Date de publication:
03 2021
03 2021
Historique:
received:
29
01
2021
accepted:
01
02
2021
entrez:
8
3
2021
pubmed:
9
3
2021
medline:
3
8
2021
Statut:
epublish
Résumé
Standardisation of animal handling procedures for a wide range of preclinical imaging scanners will improve imaging performance and reproducibility of scientific data. Whilst there has been significant effort in defining how well scanners should operate and how in vivo experimentation should be practised, there is little detail on how to achieve optimal scanner performance with best practices in animal welfare. Here, we describe a system-agnostic, adaptable and extensible animal support cradle system for cardio-respiratory-synchronised, and other, multi-modal imaging of small animals. The animal support cradle can be adapted on a per application basis and features integrated tubing for anaesthetic and tracer delivery, an electrically driven rectal temperature maintenance system and respiratory and cardiac monitoring. Through a combination of careful material and device selection, we have described an approach that allows animals to be transferred whilst under general anaesthesia between any of the tomographic scanners we currently or have previously operated. The set-up is minimally invasive, cheap and easy to implement and for multi-modal, multi-vendor imaging of small animals.
Identifiants
pubmed: 33681462
doi: 10.3390/tomography7010004
pii: tomography7010004
pmc: PMC7934707
doi:
Substances chimiques
Anesthetics
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
39-54Informations de copyright
© 2021 by the authors.
Déclaration de conflit d'intérêts
Conflicts of InterestThe authors declare no conflict of interest.
Références
Phys Med Biol. 2016 Jun 7;61(11):4300-15
pubmed: 27206135
EJNMMI Phys. 2015 Dec;2(1):31
pubmed: 26560138
Lab Anim. 2010 Oct;44(4):377-8
pubmed: 20660161
J Nucl Med. 2020 Mar;61(3):461-468
pubmed: 31562220
Eur J Nucl Med Mol Imaging. 2010 Mar;37(3):672-81
pubmed: 20135120
PLoS One. 2017 Apr 28;12(4):e0176693
pubmed: 28453537
Magn Reson Imaging. 2019 Jul;60:1-6
pubmed: 30928386
PLoS One. 2019 Feb 12;14(2):e0212172
pubmed: 30753240
Tomography. 2019 Jun;5(2):274-281
pubmed: 31245549
Comp Med. 2011 Dec;61(6):499-504
pubmed: 22330576
Nature. 2016 May 25;533(7604):452-4
pubmed: 27225100
PLoS Biol. 2010 Jun 29;8(6):e1000412
pubmed: 20613859
J Am Assoc Lab Anim Sci. 2015 Sep;54(5):545-8
pubmed: 26424253
Lab Anim. 2020 Aug;54(4):353-364
pubmed: 31526094
J Neurosci Methods. 2005 Jun 15;144(2):207-13
pubmed: 15910980
J Am Assoc Lab Anim Sci. 2011 Jan;50(1):61-4
pubmed: 21333165
Curr Drug Targets. 2015;16(6):582-91
pubmed: 25901527
Med Image Anal. 2012 Oct;16(7):1423-35
pubmed: 22722056
Adv Healthc Mater. 2020 Nov;9(21):e2001222
pubmed: 32965091
Magn Reson Imaging. 2018 Nov;53:20-27
pubmed: 29964184
Magn Reson Imaging. 2020 Apr;67:101-108
pubmed: 31935444