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Ultra-extended field-of-view PET/CT

Every now and then a new technology or idea comes along that turns imaging on its head. The concept of hybrid anatomical and molecular imaging with SPECT/CT, PET/CT or PET/MRI was one such game-changing advance. As the Co-Editors-in-Chief of Cancer Imaging, Annick and I feel that we are on the cusp of another leap forward with the development of PET/CT scanners that provide the ability to simultaneously image a large volume of the human body simultaneously, with an axial field of view ranging from just over 1m to just under 2m.

This is a planned series of review articles from developers of this technology, and from early adopters who are starting to leverage features such as dynamic whole-body imaging, ultra-low dose or very rapid scanning protocols. Logistic issues around redesign of facilities to accommodate high throughput, lower administered activities and other workflow changes will be addressed.

There are many perspectives from which these scanners should be considered. We are keen to pursue what they might offer to patients, clinicians, researchers and the pharmaceutical industry.

As with all special series, we will be reaching out directly to acknowledged experts to write invited reviews.

Prof. Rodney Hicks
Co-Editor-in-Chief of Cancer Imaging

Articles published in the collection have already gone through the systematic peer review process of the journal.

  1. Recently introduced long-axial field-of-view (LAFOV) PET/CT systems represent one of the most significant advancements in nuclear medicine since the advent of multi-modality PET/CT imaging. The higher sensitiv...

    Authors: Ian Alberts, Hasan Sari, Clemens Mingels, Ali Afshar-Oromieh, Thomas Pyka, Kuangyu Shi and Axel Rominger
    Citation: Cancer Imaging 2023 23:28
  2. This review describes the main benefits of using long axial field of view (LAFOV) PET in clinical applications. As LAFOV PET is the latest development in PET instrumentation, many studies are ongoing that expl...

    Authors: Joyce van Sluis, Ronald Borra, Charalampos Tsoumpas, Johannes H. van Snick, Mostafa Roya, Dik ten Hove, Adrienne H. Brouwers, Adriaan A. Lammertsma, Walter Noordzij, Rudi A.J.O. Dierckx, Riemer H.J.A. Slart and Andor W.J.M. Glaudemans
    Citation: Cancer Imaging 2022 22:69