Literature DB >> 30738523

Treatment response assessment in [18F]FDG-PET/CT oncology scans: Impact of count statistics variation and reconstruction protocol.

Carlotta Dolci1, Chiara Spadavecchia2, Cinzia Crivellaro3, Elena De Ponti4, Sergio Todde5, Sabrina Morzenti4, Elia Anna Turolla5, Andrea Crespi4, Luca Guerra3, Claudio Landoni3.   

Abstract

PURPOSE: To investigate influences of reconstruction algorithms and count statistics variation on quantification and treatment response assessment in cancer patients, by using a large field of view-FOV scanner.
METHODS: 54 cancer patients underwent PET/CT scan: 1) at baseline: 1.5 min/FOV, reconstructed by ordered-subset expectation maximization + point-spread-function-OSEM-PSF and bayesian penalised-likelihood-BPL algorithm 2) at restaging: 2 min/FOV, reconstructed also at 1.5 and 1 min/FOV, using OSEM-PSF and BPL. SUL (lean-body mass SUV) peak and max were measured for each target-lesion (n = 59). Differences in quantification obtained from datasets with different reconstruction algorithms and different time/FOV were evaluated. For any pair of PET datasets, metabolic response was assessed by using SULpeak, with a threshold of 30% in variation considered as significant.
RESULTS: Both at baseline and restaging, SULpeak and max values were higher in BPL reconstructions than in OSEM-PSF (p < 0.0001). SULpeak at different time/FOV reconstructions showed no statistically significant differences both with OSEM-PSF and BPL; SULmax depended on acquisition time (p < 0.05). In 56/59 lesions (95%) therapy response was concordant regardless count statistics variation and reconstruction algorithm; 2/59 (3%) showed different responses according to count statistics, both for OSEM-PSF and BPL; in 1/59 lesion (2%) response was different depending on reconstruction algorithm used.
CONCLUSIONS: BPL provided higher SULpeak and max than OSEM-PSF. With a large FOV/high sensitivity scanner, variation of time/FOV in restaging PET scans gave stable and reproducible results in terms of SULpeak, both for OSEM-PSF and BPL. Thus, metabolic response defined by SULpeak variation proved to be quite independent from count statistics.
Copyright © 2019 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  FDG quantification stability; Large FOV/high sensitivity PET/CT scanner; Regularized algorithm; Treatment metabolic response assessment

Mesh:

Substances:

Year:  2019        PMID: 30738523     DOI: 10.1016/j.ejmp.2018.12.038

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  1 in total

1.  Exploration of the total-body PET/CT reconstruction protocol with ultra-low 18F-FDG activity over a wide range of patient body mass indices.

Authors:  Xiuli Sui; Hui Tan; Haojun Yu; Jie Xiao; Chi Qi; Yanyan Cao; Shuguang Chen; Yiqiu Zhang; Pengcheng Hu; Hongcheng Shi
Journal:  EJNMMI Phys       Date:  2022-03-03
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.