Document Detail


Impact of Time-of-Flight and Point-Spread-Function in SUV Quantification for Oncological PET.
MedLine Citation:
PMID:  23334123     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
BACKGROUND: Accuracy in the quantification of the SUV is a critical point in PET because proper quantification of tumor uptake is essential for therapy monitoring and prognosis evaluation. Recent advances such as time-of-flight (TOF) and point-spread-function (PSF) reconstructions have dramatically improved detectability. However, first experiences with these techniques have shown a consistent tendency to measure markedly high SUV values, bewildering nuclear medicine physicians and referring clinicians.
PURPOSE: We investigated different reconstruction and quantification procedures to determine the optimum protocol for an accurate SUV quantification in last generation PET scanners.
METHODS: Both phantom and patient images were evaluated. A complete set of experiments was performed using a body phantom containing 6 spheres with different background levels and contrasts. Whole-body FDG PET/CT of 20 patients with breast and lung cancer was evaluated. One hundred five foci were identified by 2 experienced nuclear medicine physicians.Each acquisition was reconstructed both with classical and advanced (TOF, PSF) reconstruction techniques. Each sphere and each in vivo lesion was quantified with different parameters as follows: SUVmax, SUVmean, and SUV50 (mean within a 50% isocontour).
RESULTS: This study has confirmed that quantification with SUVmax produces important overestimation of metabolism in new generation PET scanners. This is a relevant result because, currently, SUVmax is the standard parameter for quantification. SUV50 has been shown as the best alternative, especially when applied to images reconstructed with PSF + TOF.
CONCLUSIONS: SUV50 provides accurate quantification and should replace SUVmax in PET tomographs incorporating advanced reconstruction techniques. PSF + TOF reconstruction is the optimum for both detection and accurate quantification.
Authors:
Elena Prieto; Inés Domínguez-Prado; María José García-Velloso; Iván Peñuelas; José Angel Richter; Josep Maria Martí-Climent
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Clinical nuclear medicine     Volume:  38     ISSN:  1536-0229     ISO Abbreviation:  Clin Nucl Med     Publication Date:  2013 Feb 
Date Detail:
Created Date:  2013-01-21     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7611109     Medline TA:  Clin Nucl Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  103-9     Citation Subset:  IM    
Affiliation:
From the Department of Nuclear Medicine, Clínica Universidad de Navarra, Pamplona, Spain.
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