A proper protocol for routine 18F-FDG uEXPLORER total-body PET/CT scans

Abstract Background Conventional clinical PET scanners typically have an axial field of view (AFOV) of 15–30 cm, resulting in limited coverage and relatively low photon detection efficiency. Taking advantage of the development of long-axial PET/CT, the uEXPLORER PET/CT scanner with an axial coverage...

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Main Authors: Huiran Hu, Yanchao Huang, Hongyan Sun, Kemin Zhou, Li Jiang, Jinmei Zhong, Li Chen, Lijuan Wang, Yanjiang Han, Hubing Wu
Format: Article
Language:English
Published: SpringerOpen 2023-09-01
Series:EJNMMI Physics
Subjects:
Online Access:https://doi.org/10.1186/s40658-023-00573-4
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author Huiran Hu
Yanchao Huang
Hongyan Sun
Kemin Zhou
Li Jiang
Jinmei Zhong
Li Chen
Lijuan Wang
Yanjiang Han
Hubing Wu
author_facet Huiran Hu
Yanchao Huang
Hongyan Sun
Kemin Zhou
Li Jiang
Jinmei Zhong
Li Chen
Lijuan Wang
Yanjiang Han
Hubing Wu
author_sort Huiran Hu
collection DOAJ
description Abstract Background Conventional clinical PET scanners typically have an axial field of view (AFOV) of 15–30 cm, resulting in limited coverage and relatively low photon detection efficiency. Taking advantage of the development of long-axial PET/CT, the uEXPLORER PET/CT scanner with an axial coverage of 194 cm increases the effective count rate by approximately 40 times compared to that of conventional PET scanners. Ordered subset expectation maximization (OSEM) is the most widely used iterative algorithm in PET. The major drawback of OSEM is that the iteration process must be stopped before convergence to avoid image degradation due to excessive noise. A new Bayesian penalized-likelihood iterative PET reconstruction, named HYPER iterative, was developed and is now available on the uEXPLORER total-body PET/CT, which incorporates a noise control component by using a penalty function in each iteration and finds the maximum likelihood solution through repeated iterations. To date, its impact on lesion visibility in patients with a full injected dose or half injected dose is unclear. The goal of this study was to determine a proper protocol for routine 18F-FDG uEXPLORER total-body PET/CT scans. Results The uEXPLORER total-body PET/CT images reconstructed using both OSEM and HYPER iterative algorithms of 20 tumour patients were retrospectively reviewed. The quality of the 5 min PET image was excellent (score 5) for all of the dose and reconstruction methods. Using the HYPER iterative method, the PET images reached excellent quality at 1 min with full-dose PET and at 2 min with half-dose PET. The PET image reached a similar excellent quality at 2 min with a full dose and at 3 min with a half dose using OSEM. The noise in the OSEM reconstruction was higher than that in the HYPER iterative. Compared to OSEM, the HYPER iterative had a slightly higher SUVmax and TBR of the lesions for large positive lesions (≥ 2 cm) (SUVmax: up to 9.03% higher in full dose and up to 12.52% higher in half dose; TBR: up to 8.69% higher in full dose and up to 23.39% higher in half dose). For small positive lesions (≤ 10 mm), the HYPER iterative had an obviously higher SUVmax and TBR of the lesions (SUVmax: up to 45.21% higher in full dose and up to 74.96% higher in half dose; TBR: up to 44.91% higher in full dose and up to 93.73% higher in half dose). Conclusions A 1 min scan with a full dose and a 2 min scan with a half dose are optimal for clinical diagnosis using the HYPER iterative and 2 min and 3 min for OSEM. For quantification of the small lesions, HYPER iterative reconstruction is preferred.
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spelling doaj.art-56ae019993e34e79a140c466af5f866d2023-11-20T10:58:08ZengSpringerOpenEJNMMI Physics2197-73642023-09-0110111910.1186/s40658-023-00573-4A proper protocol for routine 18F-FDG uEXPLORER total-body PET/CT scansHuiran Hu0Yanchao Huang1Hongyan Sun2Kemin Zhou3Li Jiang4Jinmei Zhong5Li Chen6Lijuan Wang7Yanjiang Han8Hubing Wu9Nanfang PET Center, Nanfang Hospital, Southern Medical UniversityNanfang PET Center, Nanfang Hospital, Southern Medical UniversityUnited Imaging HealthcareNanfang PET Center, Nanfang Hospital, Southern Medical UniversityNanfang PET Center, Nanfang Hospital, Southern Medical UniversityNanfang PET Center, Nanfang Hospital, Southern Medical UniversityNanfang PET Center, Nanfang Hospital, Southern Medical UniversityNanfang PET Center, Nanfang Hospital, Southern Medical UniversityNanfang PET Center, Nanfang Hospital, Southern Medical UniversityNanfang PET Center, Nanfang Hospital, Southern Medical UniversityAbstract Background Conventional clinical PET scanners typically have an axial field of view (AFOV) of 15–30 cm, resulting in limited coverage and relatively low photon detection efficiency. Taking advantage of the development of long-axial PET/CT, the uEXPLORER PET/CT scanner with an axial coverage of 194 cm increases the effective count rate by approximately 40 times compared to that of conventional PET scanners. Ordered subset expectation maximization (OSEM) is the most widely used iterative algorithm in PET. The major drawback of OSEM is that the iteration process must be stopped before convergence to avoid image degradation due to excessive noise. A new Bayesian penalized-likelihood iterative PET reconstruction, named HYPER iterative, was developed and is now available on the uEXPLORER total-body PET/CT, which incorporates a noise control component by using a penalty function in each iteration and finds the maximum likelihood solution through repeated iterations. To date, its impact on lesion visibility in patients with a full injected dose or half injected dose is unclear. The goal of this study was to determine a proper protocol for routine 18F-FDG uEXPLORER total-body PET/CT scans. Results The uEXPLORER total-body PET/CT images reconstructed using both OSEM and HYPER iterative algorithms of 20 tumour patients were retrospectively reviewed. The quality of the 5 min PET image was excellent (score 5) for all of the dose and reconstruction methods. Using the HYPER iterative method, the PET images reached excellent quality at 1 min with full-dose PET and at 2 min with half-dose PET. The PET image reached a similar excellent quality at 2 min with a full dose and at 3 min with a half dose using OSEM. The noise in the OSEM reconstruction was higher than that in the HYPER iterative. Compared to OSEM, the HYPER iterative had a slightly higher SUVmax and TBR of the lesions for large positive lesions (≥ 2 cm) (SUVmax: up to 9.03% higher in full dose and up to 12.52% higher in half dose; TBR: up to 8.69% higher in full dose and up to 23.39% higher in half dose). For small positive lesions (≤ 10 mm), the HYPER iterative had an obviously higher SUVmax and TBR of the lesions (SUVmax: up to 45.21% higher in full dose and up to 74.96% higher in half dose; TBR: up to 44.91% higher in full dose and up to 93.73% higher in half dose). Conclusions A 1 min scan with a full dose and a 2 min scan with a half dose are optimal for clinical diagnosis using the HYPER iterative and 2 min and 3 min for OSEM. For quantification of the small lesions, HYPER iterative reconstruction is preferred.https://doi.org/10.1186/s40658-023-00573-418F-FDGuEXPLORER total-body PET/CTImage qualityScan timeInjected radioactivityReconstruction algorithm
spellingShingle Huiran Hu
Yanchao Huang
Hongyan Sun
Kemin Zhou
Li Jiang
Jinmei Zhong
Li Chen
Lijuan Wang
Yanjiang Han
Hubing Wu
A proper protocol for routine 18F-FDG uEXPLORER total-body PET/CT scans
EJNMMI Physics
18F-FDG
uEXPLORER total-body PET/CT
Image quality
Scan time
Injected radioactivity
Reconstruction algorithm
title A proper protocol for routine 18F-FDG uEXPLORER total-body PET/CT scans
title_full A proper protocol for routine 18F-FDG uEXPLORER total-body PET/CT scans
title_fullStr A proper protocol for routine 18F-FDG uEXPLORER total-body PET/CT scans
title_full_unstemmed A proper protocol for routine 18F-FDG uEXPLORER total-body PET/CT scans
title_short A proper protocol for routine 18F-FDG uEXPLORER total-body PET/CT scans
title_sort proper protocol for routine 18f fdg uexplorer total body pet ct scans
topic 18F-FDG
uEXPLORER total-body PET/CT
Image quality
Scan time
Injected radioactivity
Reconstruction algorithm
url https://doi.org/10.1186/s40658-023-00573-4
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