Quantifying heterogeneity in human tumours using MRI and PET

Marie Claude Asselin, James P.B. O'Connor, Ronald Boellaard, Neil A. Thacker, Alan Jackson*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

146 Citations (Scopus)

Abstract

Most tumours, even those of the same histological type and grade, demonstrate considerable biological heterogeneity. Variations in genomic subtype, growth factor expression and local microenvironmental factors can result in regional variations within individual tumours. For example, localised variations in tumour cell proliferation, cell death, metabolic activity and vascular structure will be accompanied by variations in oxygenation status, pH and drug delivery that may directly affect therapeutic response. Documenting and quantifying regional heterogeneity within the tumour requires histological or imaging techniques. There is increasing evidence that quantitative imaging biomarkers can be used in vivo to provide important, reproducible and repeatable estimates of tumoural heterogeneity. In this article we review the imaging methods available to provide appropriate biomarkers of tumour structure and function. We also discuss the significant technical issues involved in the quantitative estimation of heterogeneity and the range of descriptive metrics that can be derived. Finally, we have reviewed the existing clinical evidence that heterogeneity metrics provide additional useful information in drug discovery and development and in clinical practice.

Original languageEnglish
Pages (from-to)447-455
Number of pages9
JournalEuropean Journal of Cancer
Volume48
Issue number4
DOIs
Publication statusPublished - Mar 2012
Externally publishedYes

Bibliographical note

Funding Information:
The authors are members of the QuIC-ConCePT project partly funded by EFPIA companies and the Innovative Medicine Initiative Joint Undertaking (IMI JU) under Grant agreement number 115151 .

Keywords

  • Heterogeneity
  • Imaging
  • Magnetic resonance imaging
  • Positron emission tomography
  • Tumour

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