Impact of Time-of-Flight and Point-Spread-Function in SUV Quantification for Oncological PET

Prieto, Elena; Domínguez-Prado, Inés; García-Velloso, María José; Peñuelas, Iván; Richter, José A.; Martí-Climent, Josep M.

doi:10.1097/rlu.0b013e318279b9df

Cited by 65 publications

(49 citation statements)

References 11 publications

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“…Results obtained for ROI definition agreed with the results obtained by Prieto et al [3] and Ronald et al [6], SUV peak and SUV 50 showed less variation with reconstruction methods than SUV max and these ROIs could be used to evaluate the stage and treatment response. However, it must be considered that SUV 50 shows a great dependence on …”

Section: Discussionsupporting

confidence: 80%

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Effect of reconstruction parameters and ROI definition on standardized uptake value quantification in tumors

Reynoso-Mejía

Rosas-Gozalez

Díaz-Meneses

et al. 2016

AIP Conference Proceedings

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Abstract. The purpose of this work was to evaluate the effect of reconstruction algorithms, reconstruction parameters and definition of region of interest (ROI) on the accuracy of standard uptake value (SUV) quantification. Measurements were performed on a Siemens Biograph mCT PET/CT using a Jaszczak phantom which contains spheres of different diameter filled with two sphere-to-background activity ratios. All data were reconstructed using FBP, OSEM, OSEM+PSF, OSEM+TOF and OSEM+PSF+TOF reconstruction algorithms. The variation of reconstruction parameters such as iteration numbers and FWHM of Gaussian filter was also evaluated. Different ROI definitions were used to measure SUV in each sphere: SUVave, SUVmax, SUV50 and SUVpeak. SUV accuracy was estimated with recovery coefficients (RC) for all settings. An increase in RCs of 40.7 ± 1.2% from sphere diameters of 10 mm to 28 mm and an increase of 6.3 ± 1.2% in RC values was obtained when PSF was applied. It was observed that RCs increased when iteration number increased; RCs decreased when FWHM increased. In ROI definition, SUVmax yielded an important overestimation of activity concentration (near 20%) when PSF was applied. SUV50 yielded similar values for all algorithms used, except for FBP. SUVpeak yielded values similar to the real ones (SUV~1) for all reconstructions, particularly when tumor size was > 17 mm. In conclusion, it was observed that the use of a higher iteration number, lower FWHM and the use of PSF reconstruction algorithm improved accuracy of SUV quantification. SUV50 and SUVpeak provided a more accurate quantification than SUVmax and could be proposed to replace it.

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Section: Discussionsupporting

confidence: 80%

“…SUV quantification depends on the election of filters, iteration numbers, full width at half maximum (FWHM), and subset. Time-of-flight (TOF) and point-spread-function (PSF) are recent reconstruction algorithms that have been suggested to further improve the accuracy of SUV quantification [3].…”

Section: Introductionmentioning

confidence: 99%

Effect of reconstruction parameters and ROI definition on standardized uptake value quantification in tumors

Reynoso-Mejía

Rosas-Gozalez

Díaz-Meneses

et al. 2016

AIP Conference Proceedings

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“…It is well known that SUVs are highly dependent on scanner resolution and image reconstruction techniques and may differ significantly between departments [46]. Absolute values of uptake in normal tissues of the different tracers are therefore difficult to compare unless performed by the same department, and no such data exist in the literature.…”

Section: Somatostatin Receptor Tracer Affinitymentioning

confidence: 99%

Pet Tracers for Somatostatin Receptor Imaging of Neuroendocrine Tumors: Current Status and Review of the Literature

2014

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Neuroendocrine tumors have shown rising incidence mainly due to higher clinical awareness and better diagnostic tools over the last 30 years. Functional imaging of neuroendocrine tumors with PET tracers is an evolving field that is continuously refining the affinity of new tracers in the search for the perfect neuroendocrine tumor imaging tracer. (68)Ga-labeled tracers coupled to synthetic somatostatin analogs with differences in affinity for the five somatostatin receptor subtypes are now widely applied in Europe. Comparison of sensitivity between the most used tracers - (68)Ga-DOTA-Tyr3-octreotide, (68)Ga-DOTA-Tyr3-octreotate and (68)Ga-DOTA-l-Nal3-octreotide - shows little difference and expertise on the specific tracer used, and knowledge regarding physiological uptake might be more important than in vitro-proven differences in affinity. Using isotopes such as (18)F or (64)Cu might improve these PET tracers further.

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“…This optimization has already been investigated for oncological PET [7][8][9]. Nevertheless, few investigations have focused in the field of brain PET [10] and a standard reconstruction protocol has not been established yet.…”

Section: Introductionmentioning

confidence: 99%

Brain PET imaging optimization with time of flight and point spread function modelling

et al. 2015

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Impact of Time-of-Flight and Point-Spread-Function in SUV Quantification for Oncological PET

Abstract: SUV(50) provides accurate quantification and should replace SUV(max) in PET tomographs incorporating advanced reconstruction techniques. PSF + TOF reconstruction is the optimum for both detection and accurate quantification.

Cited by 65 publications

References 11 publications

Effect of reconstruction parameters and ROI definition on standardized uptake value quantification in tumors

Effect of reconstruction parameters and ROI definition on standardized uptake value quantification in tumors

Pet Tracers for Somatostatin Receptor Imaging of Neuroendocrine Tumors: Current Status and Review of the Literature

Brain PET imaging optimization with time of flight and point spread function modelling

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