A Monte Carlo study of the dependence of early frame sampling on uncertainty and bias in pharmacokinetic parameters from dynamic PET.
Unlabelled: Compartmental modeling of dynamic PET data enables quantification of tracer kinetics in vivo, through the calculated model parameters. In this study, we aimed to investigate the effect of early frame sampling and reconstruction method on pharmacokinetic parameters obtained from a 2-tissu...
| Publicado en: | Journal of Nuclear Medicine Technology Vol. 43; no. 1; pp. 53 - 61 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Society of Nuclear Medicine
Mar2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109777686&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109777686 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00914916 H7Q jtl: Journal of Nuclear Medicine Technology issn: 00914916 maglogo: N pubinfo: dt: Mar2015 vid: 43 iid: 1 pid: 2576 pub: Society of Nuclear Medicine place: Reston, Virginia artinfo: ui: 109777686 NLM25613339 2012925309 10.2967/jnmt.114.141754 NLM25613339 109777686 ppf: 53 ppct: 8 formats: fmt: @attributes: type: P tig: atl: A Monte Carlo study of the dependence of early frame sampling on uncertainty and bias in pharmacokinetic parameters from dynamic PET. aug: au: Häggström, Ida Axelsson, Jan Schmidtlein, Charles Ross Karlsson, Mikael Garpebring, Anders Johansson, Lennart Sörensen, Jens Larsson, Anne affil: Department of Radiation Sciences, Umeå University, Umeå, Sweden ida.haggstrom@radfys.umu.se. sug: subj: Deoxyribonucleosides Pharmacokinetics Systems Analysis Phantoms, Imaging Tomography, Emission-Computed Uncertainty Brain Radiography Deoxyribonucleosides Diagnostic Use Image Processing, Computer Assisted Time Factors ab: Unlabelled: Compartmental modeling of dynamic PET data enables quantification of tracer kinetics in vivo, through the calculated model parameters. In this study, we aimed to investigate the effect of early frame sampling and reconstruction method on pharmacokinetic parameters obtained from a 2-tissue model, in terms of bias and uncertainty (SD). Methods: The GATE Monte Carlo software was used to simulate 2 × 15 dynamic 3'-deoxy-3'-(18)F-fluorothymidine ((18)F-FLT) brain PET studies, typical in terms of noise level and kinetic parameters. The data were reconstructed by both 3-dimensional (3D) filtered backprojection with reprojection (3DRP) and 3D ordered-subset expectation maximization (OSEM) into 6 dynamic image sets with different early frame durations of 1, 2, 4, 6, 10, and 15 s. Bias and SD were evaluated for fitted parameter estimates, calculated from regions of interest. Results: The 2-tissue-model parameter estimates K1, k2, and fraction of arterial blood in tissue depended on early frame sampling, and a sampling of 6-15 s generally minimized bias and SD. The shortest sampling of 1 s yielded a 25% and 42% larger bias than the other schemes, for 3DRP and OSEM, respectively, and a parameter uncertainty that was 10%-70% higher. The schemes from 4 to 15 s were generally not significantly different in regards to bias and SD. Typically, the reconstruction method 3DRP yielded less frame-sampling dependence and less uncertain results, compared with OSEM, but was on average more biased. Conclusion: Of the 6 sampling schemes investigated in this study, an early frame duration of 6-15 s generally kept both bias and uncertainty to a minimum, for both 3DRP and OSEM reconstructions. Very-short frames of 1 s should be avoided because they typically resulted in the largest parameter bias and uncertainty. Furthermore, 3DRP may be preferred over OSEM for short frames with poor statistics. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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