A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä
New opportunities for nuclear cardiology with total-body positron emission tomography/computed tomography
Tekijät: Saraste, Antti; Knuuti, Juhani
Kustantaja: Elsevier BV
Julkaisuvuosi: 2026
Lehti: Journal of Nuclear Cardiology
Artikkelin numero: 102652
ISSN: 1071-3581
eISSN: 1532-6551
DOI: https://doi.org/10.1016/j.nuclcard.2026.102652
Julkaisun avoimuus kirjaamishetkellä: Avoimesti saatavilla
Julkaisukanavan avoimuus : Osittain avoin julkaisukanava
Verkko-osoite: https://doi.org/10.1016/j.nuclcard.2026.102652
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/515628897
Rinnakkaistallenteen lisenssi: CC BY
Rinnakkaistallennetun julkaisun versio: Kustantajan versio
Total-body positron emission tomography (PET) systems with a long axial field of view (LAFOV) are now commercially available and represent the state of the art in PET imaging. These systems provide wide anatomical coverage and markedly increased detection sensitivity. Clinical studies have demonstrated enhanced image quality, superior quantification, and benefits for tracer kinetic modeling through dynamic imaging. LAFOV PET/CT allows for substantial reductions in acquisition time and radiation dose while maintaining diagnostic image quality. Full-body coverage enables dynamic whole-body imaging, which enables tracer kinetic modeling across multiple organs and the large vascular structures, offering new opportunities for studying their interactions in cardiovascular and systemic diseases. Furthermore, these systems facilitate the development of new PET methods including pharmacokinetics of new tracers. This review discusses the emerging opportunities and challenges associated with the application of LAFOV PET/CT systems in cardiovascular diseases.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
Julkaisussa olevat rahoitustiedot:
Funding from the Jane and Aatos Erkko Foundation, the Finnish Foundation for Cardiovascular Research, Finnish State Research Funding, the Research Council of Finland (343152), and InFLAMES research flagship of the Research Council of Finland (337530 and 357910).
