Molecular imaging research in the outcomes era: measuring outcomes for individualized cancer therapy

Acad Radiol. 2007 Apr;14(4):398-405. doi: 10.1016/j.acra.2007.01.005.

Abstract

Advances in molecular imaging, combined with the goal of personalized cancer therapy, call for new approaches to clinical study design for trials testing imaging to guide therapy. The role of cancer imaging must expand and move beyond tumor detection and localization to incorporate quantitative evaluation of regional tumor phenotype. Imaging study design and outcome analysis must move beyond metrics designed to measure the performance for detection to include measures of prognosis, prediction of therapeutic success, and early therapy response. This implies changes in how studies are carried and out, and importantly in the regulatory oversight of cancer imaging. Demonstration that a biochemical or molecular imaging method correctly and accurately measures a specific biologic feature should be sufficient for approval for clinical trials. It may be possible that a combination of imaging procedures known to accurately depict tumor phenotype may be prognostic, even if the individual study cannot be directly validated against patient outcomes. Therefore, it will be important to be able to apply a range of possible imaging studies to different targeted cancer therapy trials. Academia and industry must work together with regulatory agencies and payers to facilitate well designed clinical studies, with appropriate outcome measures, to test the effectiveness of imaging in helping to direct cancer therapy. These will assure the appropriate use of imaging to direct treatment and make an important step towards individualized cancer therapy.

Publication types

  • Research Support, N.I.H., Extramural
  • Review

MeSH terms

  • Biomarkers, Tumor / analysis
  • Biomedical Research
  • Diagnostic Imaging / trends*
  • Humans
  • Neoplasms / metabolism
  • Neoplasms / pathology*
  • Neoplasms / therapy*
  • Outcome Assessment, Health Care*
  • Predictive Value of Tests
  • Prognosis
  • Radiography, Interventional / trends

Substances

  • Biomarkers, Tumor