Clinical applications of long axial field-of-view PET/CT scanners in oncology

Publication typeJournal Article
Publication date2023-02-22
scimago Q2
wos Q3
SJR0.526
CiteScore3.8
Impact factor1.6
ISSN22815872, 22817565
Radiology, Nuclear Medicine and imaging
Abstract
To provide a comprehensive overview of the current main applications of long axial field-of-view (LAFOV) PET/CT in oncology. Relevant studies published from 2017 up to September 2022 were selected by searching Scopus, PubMed, and Web of Science. The following data were extracted: characteristics of studies and patients, technical aspects, and usefulness of the LAFOV PET/CT in the oncological setting. Selected imaging studies were analyzed using a modified version of the Critical Appraisal Skills Programme (CASP). Seventeen papers were finally selected: 12 (70.6%) were retrospective, while 5 (29.4%) were prospective, with an overall number of 877 included patients. Most of the studies (14/17, 82.4%) employed [18F]-FDG as a radiopharmaceutical agent, 2 papers used [68Ga]-PSMA-11 and 1 employed mixed tracers. Eleven studies were focused on protocols at low/ultra-low activity or with fast/ultra-fast scanning time, 3 papers compared the performance of LAFOV PET/CT scanners with that of conventional (standard axial field-of-view/SAFOV) devices, 4 were total-body PET dynamic studies. LAFOV PET/CT showed superior diagnostic performance than traditional SAFOV devices, allowing reduced activity/time and dynamic protocols. The applications of this novel technology in some clinical settings, mainly the pediatric population, are promising but should be a topic of future investigations.
Found 
Found 

Top-30

Journals

1
2
3
4
5
Diagnostics
5 publications, 19.23%
Seminars in Nuclear Medicine
3 publications, 11.54%
Clinical and Translational Imaging
3 publications, 11.54%
Molecular Diagnosis and Therapy
3 publications, 11.54%
European Journal of Nuclear Medicine and Molecular Imaging
2 publications, 7.69%
Expert Review of Medical Devices
2 publications, 7.69%
Journal of Nuclear Medicine
2 publications, 7.69%
Current Issues in Molecular Biology
1 publication, 3.85%
Biomolecules
1 publication, 3.85%
Expert Review of Anticancer Therapy
1 publication, 3.85%
Clinical Nuclear Medicine
1 publication, 3.85%
Physica Medica
1 publication, 3.85%
EJNMMI Research
1 publication, 3.85%
1
2
3
4
5

Publishers

1
2
3
4
5
6
7
8
9
Springer Nature
9 publications, 34.62%
MDPI
7 publications, 26.92%
Elsevier
4 publications, 15.38%
Taylor & Francis
3 publications, 11.54%
Society of Nuclear Medicine
2 publications, 7.69%
Ovid Technologies (Wolters Kluwer Health)
1 publication, 3.85%
1
2
3
4
5
6
7
8
9
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
26
Share
Cite this
GOST |
Cite this
GOST Copy
Urso L. et al. Clinical applications of long axial field-of-view PET/CT scanners in oncology // Clinical and Translational Imaging. 2023.
GOST all authors (up to 50) Copy
Urso L., Frantellizzi V., De Vincentis G., Schillaci O., Filippi L., Evangelista L. Clinical applications of long axial field-of-view PET/CT scanners in oncology // Clinical and Translational Imaging. 2023.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1007/s40336-023-00547-7
UR - https://doi.org/10.1007/s40336-023-00547-7
TI - Clinical applications of long axial field-of-view PET/CT scanners in oncology
T2 - Clinical and Translational Imaging
AU - Urso, Luca
AU - Frantellizzi, Viviana
AU - De Vincentis, Giuseppe
AU - Schillaci, Orazio
AU - Filippi, Luca
AU - Evangelista, Laura
PY - 2023
DA - 2023/02/22
PB - Springer Nature
SN - 2281-5872
SN - 2281-7565
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2023_Urso,
author = {Luca Urso and Viviana Frantellizzi and Giuseppe De Vincentis and Orazio Schillaci and Luca Filippi and Laura Evangelista},
title = {Clinical applications of long axial field-of-view PET/CT scanners in oncology},
journal = {Clinical and Translational Imaging},
year = {2023},
publisher = {Springer Nature},
month = {feb},
url = {https://doi.org/10.1007/s40336-023-00547-7},
doi = {10.1007/s40336-023-00547-7}
}