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.

Details

Title
Differentiating lung cancer and infection based on measurements of extracellular pH with acidoCEST MRI
Author
Lindeman, Leila R 1 ; Jones, Kyle M 2 ; High, Rachel A 1 ; Howison, Christine M 3 ; Shubitz, Lisa F 4 ; Pagel, Mark D 5 

 Cancer Biology Graduate Interdisciplinary Program, University of Arizona, Tucson, AZ, USA 
 Bioengineering Graduate Interdisciplinary Program, University of Arizona, Tucson, AZ, USA 
 Department of Medical Imaging, University of Arizona, Tucson, AZ, USA 
 Valley Fever Center for Excellence, University of Arizona, Tucson, AZ, USA 
 Department of Cancer Systems Imaging, MD Anderson Cancer Center, Houston, TX, USA 
Pages
1-8
Publication year
2019
Publication date
Sep 2019
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2287990837
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.