Differentiating lung cancer and infection based on measurements of extracellular pH with acidoCEST MRI
AffiliationUniv Arizona, Dept Med Imaging
Univ Arizona, Valley Fever Ctr Excellence
Univ Arizona, Canc Biol Grad Interdisciplinary Program
Univ Arizona, Bioengn Grad Interdisciplinary Program
MetadataShow full item record
PublisherNATURE PUBLISHING GROUP
CitationLindeman, L. R., Jones, K. M., High, R. A., Howison, C. M., Shubitz, L. F., & Pagel, M. D. (2019). Differentiating lung cancer and infection based on measurements of extracellular pH with acidoCEST MRI. Scientific reports, 9(1), 1-8.
RightsCopyright © The Author(s) 2019. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License.
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at firstname.lastname@example.org.
AbstractLung cancer diagnosis via imaging may be confounded by the presence of indolent infectious nodules in imaging studies. This issue is pervasive in the southwestern US where coccidioidomycosis (Valley Fever) is endemic. AcidoCEST MRI is a noninvasive imaging method that quantifies the extracellular pH (pHe) of tissues in vivo, allowing tumor acidosis to be used as a diagnostic biomarker. Using murine models of lung adenocarcinoma and coccidoidomycosis, we found that average lesion pHe differed significantly between tumors and granulomas. Our study shows that acidoCEST MRI is a promising tool for improving the specificity of lung cancer diagnosis.
NoteOpen access journal
VersionFinal published version
SponsorsNIH United States Department of Health & Human Services National Institutes of Health (NIH) - USA [R01CA167183, P30CA023074, T32CA009213]
Except where otherwise noted, this item's license is described as Copyright © The Author(s) 2019. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License.
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