Article ; Online: Advantages and Challenges of Total-Body PET/CT at a Tertiary Cancer Center: Insights from Sun Yat-sen University Cancer Center.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
2024 Volume 65, Issue Suppl 1, Page(s) 54S–63S
Abstract: ... of the uEXPLORER system at the Sun Yat-sen University Cancer Center, including the disease distribution ...
Abstract | In recent decades, researchers worldwide have directed their efforts toward enhancing the quality of PET imaging. The detection sensitivity and image resolution of conventional PET scanners with a short axial field of view have been constrained, leading to a suboptimal signal-to-noise ratio. The advent of long-axial-field-of-view PET scanners, exemplified by the uEXPLORER system, marked a significant advancement. Total-body PET imaging possesses an extensive scan range of 194 cm and an ultrahigh detection sensitivity, and it has emerged as a promising avenue for improving image quality while reducing the administered radioactivity dose and shortening acquisition times. In this review, we elucidate the application of the uEXPLORER system at the Sun Yat-sen University Cancer Center, including the disease distribution, patient selection workflow, scanning protocol, and several enhanced clinical applications, along with encountered challenges. We anticipate that this review will provide insights into routine clinical practice and ultimately improve patient care. |
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MeSH term(s) | Humans ; Positron Emission Tomography Computed Tomography/methods ; Whole Body Imaging/methods ; Neoplasms/diagnostic imaging ; Tertiary Care Centers ; Cancer Care Facilities ; Image Processing, Computer-Assisted/methods |
Language | English |
Publishing date | 2024-05-06 |
Publishing country | United States |
Document type | Journal Article ; Review ; Research Support, Non-U.S. Gov't |
ZDB-ID | 80272-4 |
ISSN | 1535-5667 ; 0097-9058 ; 0161-5505 ; 0022-3123 |
ISSN (online) | 1535-5667 |
ISSN | 0097-9058 ; 0161-5505 ; 0022-3123 |
DOI | 10.2967/jnumed.123.266948 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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