2015
DOI: 10.1097/rlu.0000000000000673
|View full text |Cite
|
Sign up to set email alerts
|

Quantitative Graphical Analysis of Simultaneous Dynamic PET/MRI For Assessment of Prostate Cancer

Abstract: Purpose Dynamic FDG imaging for prostate cancer characterization is limited by generally small size and low uptake in prostate tumors. Our aim in this pilot study is to explore feasibility of simultaneous PET/MRI to guide localization of prostate lesions for dynamic FDG analysis using a graphical approach. Methods Three patients with biopsy-proven prostate cancer underwent simultaneous FDG PET/MRI, incorporating dynamic prostate imaging. Histology and multi-parametric MRI findings were used to localize tumor… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
6
0

Year Published

2015
2015
2021
2021

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 10 publications
(6 citation statements)
references
References 26 publications
0
6
0
Order By: Relevance
“…Nevertheless, Sokoloff et al observed a measurable 2DG washout from rat brain, whose radioactivity content decreased with a half-life of 7.7 ± 1.6 and 9.7 ± 2.6 h in gray and white matter, respectively [2]. Similarly, a slow, yet measurable, tracer release has been subsequently confirmed from several cancers, suggesting the possible presence of a G6Pase function in tissues of different origin [28,29]. This slow washout has been largely disregarded according to the consideration of its negligible interference on imaging performed within 1 h after tracer injection.…”
Section: Theoretical Shortfalls Of the Sokoloff Modelmentioning
confidence: 99%
“…Nevertheless, Sokoloff et al observed a measurable 2DG washout from rat brain, whose radioactivity content decreased with a half-life of 7.7 ± 1.6 and 9.7 ± 2.6 h in gray and white matter, respectively [2]. Similarly, a slow, yet measurable, tracer release has been subsequently confirmed from several cancers, suggesting the possible presence of a G6Pase function in tissues of different origin [28,29]. This slow washout has been largely disregarded according to the consideration of its negligible interference on imaging performed within 1 h after tracer injection.…”
Section: Theoretical Shortfalls Of the Sokoloff Modelmentioning
confidence: 99%
“…Vascular extravasation (k ve ) was assumed to occur at a rate of 0.0066 s −1 , volume fractions of the vascular (1 − v e ) and extravascular space (v e ) were assumed to be 0.0372 and 0.9628, respectively. These perfusion values represent the average prostate cancer values reported in literature [32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48] and simulations were also performed at the higher and lower ends of these ranges (k ve [0.0045 − 0.0219] and v e [0.9015 − 0.9915]), which only had minor impacts on the measured k pl errors (data not shown). The AIF was modeled as a gamma variate 49 following:…”
Section: Simulations Of Dynamic Slice Profile Evolution In Perfusedmentioning
confidence: 83%
“…In the initial perfusion phase contrast agents and radioactive labelled tracers act as blood-pool agents, whereas tissue distribution and uptake depend on the chemical and biological properties of these agents. A prostate cancer study with dynamic 18 F-fluorodeoxyglucose (FDG) PET/MR revealed a possible additional value of dynamic PET [12] . There are some studies with dynamic FACBC PET/CT [13] , [14] , [15] , [16] , [17] , [18] , but only two have explored the early dynamic phase [16] , [17] .…”
Section: Introductionmentioning
confidence: 99%