Evaluations of Tumor Acidosis Within In Vivo Tumor Models Using Parametric Maps Generated with Acido CEST MRI

Mol Imaging Biol. 2015 Aug;17(4):488-96. doi: 10.1007/s11307-014-0816-2.

Abstract

Purpose: We aimed to develop pixelwise maps of tumor acidosis to aid in evaluating extracellular tumor pH (pHe) in cancer biology.

Procedures: MCF-7 and MDA-MB-231 mouse models were imaged during a longitudinal study. AcidoCEST MRI and a series of image processing methods were used to produce parametric maps of tumor pHe, and tumor pHe was also measured with a pH microsensor.

Results: Sufficient contrast-to-noise for producing pHe maps was achieved by using standard image processing methods. A comparison of pHe values measured with acidoCEST MRI and a pH microsensor showed that acidoCEST MRI measured tumor pHe with an accuracy of 0.034 pH units. The MCF-7 tumor model was found to be more acidic compared to the MDA-MB-231 tumor model. The pHe was not related to tumor size during the longitudinal study.

Conclusions: These results show that acidoCEST MRI can create pixelwise tumor pHe maps of mouse models of cancer.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acidosis / pathology*
  • Animals
  • Cell Line, Tumor
  • Female
  • Humans
  • Hydrogen-Ion Concentration
  • Image Processing, Computer-Assisted / methods*
  • Magnetic Resonance Imaging / methods*
  • Mice
  • Mice, SCID
  • Molecular Imaging / methods*
  • Neoplasms, Experimental / chemistry*
  • Neoplasms, Experimental / pathology*