Quantitative multimodality imaging in cancer research and therapy.

Yankeelov TE, Abramson RG, Quarles CC
Nat Rev Clin Oncol. 2014 11 (11): 670-80

PMID: 25113842 · PMCID: PMC4909117 · DOI:10.1038/nrclinonc.2014.134

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.

MeSH Terms (9)

Biomedical Research Humans Image Processing, Computer-Assisted Multimodal Imaging Neoplasms Positron-Emission Tomography Tomography, Emission-Computed, Single-Photon Tomography, X-Ray Computed Translational Medical Research

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