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Cited by 123Medical Imaging Techniques and ApplicationsRadiation Dose and ImagingCardiac Imaging and Diagnostics

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The image quality, lesion detectability, and acquisition time of 18F-FDG total-body PET/CT in oncological patients

Zhang, Yi-Qiu, Hu, Peng-Cheng, Wu, Run-Ze, Gu, Yu-Shen, Chen, Shu-Guang, Yu, Hao-Jun, Wang, Xiang-Qing, Song, Jun, Shi, Hong-Cheng·2020·European Journal of Nuclear Medicine and Molecular Imaging

Abstract

Purpose The purpose was to investigate the effects of short acquisition time on the image quality and the lesion detectability of oncological 18 F-FDG total-body PET/CT. Methods Nineteen oncological patients (6/13 women/men, age 65.6 ± 9.4 years) underwent total-body PET/CT on uEXPLORER scanner using 3D list mode. The administration of 18 F-FDG was weight-based (4.4 MBq/kg). The acquisition time was 900 s, and PET data were reconstructed into 900-, 180-, 120-, 60-, 30-, and 18-s duration groups. The subjective PET image quality was scored using a 5-point scale (5, excellent; 1, poor) in 3 perspectives: overall quality, noise, and lesion conspicuity. The objective image quality was evaluated by SUV max and standard deviation (SD) of the liver, SUV max of the tumor, and tumor-to-background ratio (TBR). The lesion detectability was the percentage of identifiable lesions in the groups of 180 to 18 s using the group 900 s as reference. Results Our results showed that sufficient and acceptable subjective image quality could be achieved with 60- and 30-s groups, and good image quality scores were given to 180- and 120-s groups without significant difference. For shortened acquisition time, SD was increased, while SUV max of tumor and TBR remained unchanged. The lesion detectability was decreased with shorter acquisition time, but the detection performance could be maintained until the 60-s group compared with the 900-s group, although the image quality degraded. Conclusion The total…

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References 15 · Cited by 123

Metadata

Authors
Zhang, Y.-Q., Hu, P.-C., Wu, R.-Z., Gu, Y.-S., Chen, S.-G., Yu, H.-J., Wang, X.-Q., Song, J., & Shi, H.-C.
Affiliations
Shanghai Medical College of Fudan University (CN)
Venue
European Journal of Nuclear Medicine and Molecular Imaging
Published
2020-05-18
Volume
47
Issue
11
Pages
2507-2515
ISSN
  • 1619-7070 (ISSN-L)
  • 1619-7089
OpenAlex
W3026746751
Cited by
123
References
15
Citations by year
2026: 5 · 2025: 10 · 2024: 21 · 2023: 29 · 2022: 33 · 2021: 22 · 2020: 3
FWCI
10.64
Type
journal article
Language
en
Open access
closed
Locations
  • European Journal of Nuclear Medicine and Molecular Imaging (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Key Research and Development Program of China (2016YFC10103908)
  • National Natural Science Foundation of China (81471706 and 81671735)
  • Shanghai Science and Technology Development Foundation (17511104201)
  • Shanghai Municipal Population and Family Planning Commission (20164Y0113)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiation Dose and Imaging
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Cardiac Imaging and Diagnostics
Keywords
18F-FDG PET/CT, whole-body imaging, acquisition time reduction, image quality, lesion detectability, cancer patients, SUVmax, tumor-to-background ratio, noise
MeSH terms
Positron Emission Tomography Computed Tomography, Aged, Female, Humans, Male, Middle Aged, Neoplasms, Fluorodeoxyglucose F18, Positron-Emission Tomography

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CoChat. (2026). Citation check: The image quality, lesion detectability, and acquisition time of 18F-FDG total-body PET/CT in oncological patients. https://app.cochat.ai/papers/10.1007/s00259-020-04823-w
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Zhang, Y.-Q., Hu, P.-C., Wu, R.-Z., Gu, Y.-S., Chen, S.-G., Yu, H.-J., Wang, X.-Q., Song, J., & Shi, H.-C. (2020). The image quality, lesion detectability, and acquisition time of 18F-FDG total-body PET/CT in oncological patients. European Journal of Nuclear Medicine and Molecular Imaging. https://doi.org/10.1007/s00259-020-04823-w

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