3.8 Article

PET Imaging of Cardiac Hypoxia: Hitting Hypoxia Where It Hurts

Journal

CURRENT CARDIOVASCULAR IMAGING REPORTS
Volume 11, Issue 3, Pages -

Publisher

SPRINGER
DOI: 10.1007/s12410-018-9447-3

Keywords

Positron emission tomography; Cardiac hypoxia; Cardiac ischemia; Copper bis(thiosemicarbazones); F-18-MISO; (64) Cu-CTS

Funding

  1. MRC (England)
  2. Centre of Excellence in Medical Engineering Centre - EPSRC [203148/Z/16/Z]
  3. KCL and UCL Comprehensive Cancer Imaging Centre - EPSRC
  4. KCL and UCL Comprehensive Cancer Imaging Centre - CRUK
  5. DoH (England)
  6. KCL BHF Centre of Excellence [RE/13/2/30182]
  7. NIHR Biomedical Research Centre at Guy's and St Thomas' NHS Foundation Trust and King's College London
  8. Wellcome/EPSRC Centre for Medical Engineering at King's College London [WT 203148/Z/16/Z]
  9. British Heart Foundation [PG/16/43/32141]
  10. Centre of Excellence in Medical Engineering Centre - Wellcome Trust
  11. British Heart Foundation [PG/16/43/32141] Funding Source: researchfish

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Purpose of Review In this review, we outline the potential for hypoxia imaging as a diagnostic and prognostic tool in cardiology. We describe the lead hypoxia PET radiotracers currently in development and propose a rationale for how they should most appropriately be screened and validated.& para;& para;Recent Findings While the majority of hypoxia imaging agents has been developed for oncology, the requirements for hypoxia imaging in cardiology are different. Recent work suggests that the bis(thiosemicarbazone) family of compounds may be capable of detecting the subtle degrees of hypoxia associated with cardiovascular syndromes, and that they have the potential to be tuned to provide different tracers for different applications.& para;& para;Summary New tracers currently in development show significant promise for imaging evolving cardiovascular disease. Fundamental to their exploitation is their careful, considered validation and characterization so that the information they provide delivers the greatest prognostic insight achievable.

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