Literature DB >> 26966128

Optimizing 18F-FDG Uptake Time Before Imaging Improves the Accuracy of PET/CT in Liver Lesions.

Zaid Al-Faham1, Prashant Jolepalem2, John Rydberg2, Ching-Yee O Wong2.   

Abstract

UNLABELLED: (18)F-FDG PET/CT has emerged as one of the fastest-growing imaging modalities. A shorter protocol results in a lower target-to-background ratio, which can increase the challenge of identifying mildly (18)F-FDG-avid lesions and differentiating inflammatory or physiologic activity from malignant activity. The purpose of this study was to determine the delay between radiotracer injection and imaging that optimizes target-to-background ratio while maintaining counts high enough to ensure scan sensitivity.
METHODS: The study included 140 patients (66 male and 74 female; age range, 42-95 y) with suspected hepatic lesions as seen on an (18)F-FDG PET scan. SUV was determined as region-of-interest activity/(dose/total body weight).
RESULTS: The mean injected dose was 610 ± 66.6 MBq (16.5 ±1.8 mCi), with a mean glucose level of 107 ± 26.6 mg/dL (standardized to 90 mg/dL). The uptake time before imaging ranged from 61 to 158 min, with a mean of 108.8 ± 24.8 min. The P values for the correlation of SUV to time were 0.004, 0.003, and 0.0001 for malignant lesions, benign lesions, and background hepatic tissue, respectively.
CONCLUSION: An approximately 90-min time window from (18)F-FDG injection to PET imaging would significantly improve target-to-background ratio and, thus, quantitation and visual interpretation. This benefit outweighs the minimal loss in patient throughput.
© 2016 by the Society of Nuclear Medicine and Molecular Imaging, Inc.

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Keywords:  18F-FDG PET scan; liver lesions; target-to-background ratio

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Year:  2016        PMID: 26966128     DOI: 10.2967/jnmt.115.169953

Source DB:  PubMed          Journal:  J Nucl Med Technol        ISSN: 0091-4916


  1 in total

1.  Performance Evaluation of a Newly Developed MR-Compatible Mobile PET Scanner with Two Detector Layouts.

Authors:  Masao Watanabe; Yuji Nakamoto; Ryusuke Nakamoto; Takayoshi Ishimori; Tsuneo Saga; Kaori Togashi
Journal:  Mol Imaging Biol       Date:  2020-04       Impact factor: 3.488

  1 in total

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