Intraperitoneal injections as an alternative method for micro-CT contrast enhanced detection of murine liver tumors
AffiliationUniv Arizona, Canc Ctr
Univ Arizona, Canc Biol Grad Interdisciplinary Program
Univ Arizona, Cell & Mol Med
MetadataShow full item record
PublisherFUTURE SCI LTD
CitationSweeney, N., Marchant, S., & Martinez, J. D. (2019). Intraperitoneal injections as an alternative method for micro-CT contrast enhanced detection of murine liver tumors. BioTechniques, 66(5), 214-217.
RightsCopyright © 2019 Jesse D Martinez. This work is licensed under the Attribution-NonCommercial-NoDerivatives 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
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AbstractMicro-computed tomography (micro-CT) coupled with tissue, or vascular, specific contrast agent has emerged as a powerful tool for detecting and monitoring tumor growth in the liver of murine animals. Intravenous injections of contrast agents can be technically challenging and lead to errors that can considerably influence the outcome of a preclinical study, prompting an alternative method. Here we assessed the effectiveness of intraperitoneal injections of polyiodinated triglycerides emulsions (FenestraLC) in micro-CT imaging of young SCID (8 weeks) and old BALB/c (48 weeks) mice with xenograft or carcinogen-induced liver tumors, respectively, and determined an optimal acquisition time. Utilizing an intraperitoneal injection is a viable alternative administration route for using Fenestrain detection and quantification of murine liver tumor burden. METHOD SUMMARY We report that intraperitoneal injections of polyiodinated triglycerides emulsions are a suitable alternative to the intravenous administration route in detecting and quantifying murine liver tumor burden.
NoteOpen access journal
VersionFinal published version
SponsorsNational Institute of Health [CA184920]; University of Arizona Cancer Center - National Cancer Institute [P30CA023074]
Except where otherwise noted, this item's license is described as Copyright © 2019 Jesse D Martinez. This work is licensed under the Attribution-NonCommercial-NoDerivatives 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
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