@article{bd1518ecd330454ab18727ff89f4abee,
title = "Differentiating lung cancer and infection based on measurements of extracellular pH with acidoCEST MRI",
abstract = "Lung 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.",
author = "Lindeman, {Leila R.} and Jones, {Kyle M.} and High, {Rachel A.} and Howison, {Christine M.} and Shubitz, {Lisa F.} and Pagel, {Mark {"}Marty{"}}",
note = "Funding Information: The authors would like to thank the Experimental Mouse Shared Resource, and the Valley Fever Center for Excellence, of the University of Arizona for the development of the animal models used in this study. We are grateful to Dr. Isabelle Oliva, MD and Dr. Linda Garland, MD for consultation on study designs. We would also like to thank George Mungia for his technical assistance. These studies were supported by NIH grants R01CA167183, P30CA023074, LRL was supported by T32CA009213. Publisher Copyright: {\textcopyright} 2019, The Author(s).",
year = "2019",
month = dec,
day = "1",
doi = "10.1038/s41598-019-49514-1",
language = "English (US)",
volume = "9",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",
number = "1",
}