Quantitative multimodality imaging in cancer research and therapy

Nat Rev Clin Oncol. 2014 Nov;11(11):670-80. doi: 10.1038/nrclinonc.2014.134. Epub 2014 Aug 12.

Abstract

Advances in hardware and software have enabled the realization of clinically feasible, quantitative multimodality imaging of tissue pathophysiology. Earlier efforts relating to multimodality imaging of cancer have focused on the integration of anatomical and functional characteristics, such as PET-CT and single-photon emission CT (SPECT-CT), whereas more-recent advances and applications have involved the integration of multiple quantitative, functional measurements (for example, multiple PET tracers, varied MRI contrast mechanisms, and PET-MRI), thereby providing a more-comprehensive characterization of the tumour phenotype. The enormous amount of complementary quantitative data generated by such studies is beginning to offer unique insights into opportunities to optimize care for individual patients. Although important technical optimization and improved biological interpretation of multimodality imaging findings are needed, this approach can already be applied informatively in clinical trials of cancer therapeutics using existing tools. These concepts are discussed herein.

Publication types

  • Review

MeSH terms

  • Biomedical Research / methods*
  • Biomedical Research / trends
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Image Processing, Computer-Assisted / trends
  • Multimodal Imaging / methods*
  • Multimodal Imaging / trends
  • Neoplasms / diagnosis*
  • Positron-Emission Tomography / methods
  • Positron-Emission Tomography / trends
  • Tomography, Emission-Computed, Single-Photon / methods
  • Tomography, Emission-Computed, Single-Photon / trends
  • Tomography, X-Ray Computed / methods
  • Tomography, X-Ray Computed / trends
  • Translational Medical Research / methods*
  • Translational Medical Research / trends