Parametric Imaging of [11C]Flumazenil Binding in the Rat Brain.
Purpose: This study evaluates the performance of several parametric methods for assessing [11C]flumazenil binding distribution in the rat brain.Procedures: Dynamic (60 min) positron emission tomography data with metabolite-corrected plasma input function were retrospectively analyzed (male Wistar ra...
| Publicado en: | Molecular Imaging & Biology Vol. 20; no. 1; pp. 114 - 124 |
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| Autores principales: | , , , , , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Feb2018
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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=127460427&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 127460427 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15361632 KJU jtl: Molecular Imaging & Biology issn: 15361632 maglogo: N pubinfo: dt: Feb2018 vid: 20 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 127460427 127460427 144017345 NLM28631142 127460427 10.1007/s11307-017-1098-2 NLM28631142 127460427 ppf: 114 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Parametric Imaging of [11C]Flumazenil Binding in the Rat Brain. aug: au: Lopes Alves, Isadora Vállez García, David Vállez Parente, Andrea Doorduin, Janine da Silva, Ana Maria Marques Koole, Michel Dierckx, Rudi Willemsen, Antoon Boellaard, Ronald Vállez García, David affil: Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands sug: subj: Tomography, Emission-Computed Flumazenil Brain Metabolism Radioisotopes Rats Linear Regression Flumazenil Pharmacokinetics Animal Studies Validation Studies Comparative Studies Evaluation Research Multicenter Studies ab: Purpose: This study evaluates the performance of several parametric methods for assessing [11C]flumazenil binding distribution in the rat brain.Procedures: Dynamic (60 min) positron emission tomography data with metabolite-corrected plasma input function were retrospectively analyzed (male Wistar rats, n = 10). Distribution volume (V T) images were generated from basis function method (BFM), Logan graphical analysis (Logan), and spectral analysis (SA). Using the pons as pseudo-reference tissue, binding potential (BP ND and DVR-1) images were obtained from receptor parametric imaging algorithms (RPM and SRTM2) and reference Logan (RLogan). Standardized uptake value images (SUV and SUVR) were also computed for different intervals post-injection. Next, regional averages were extracted from the parametric images, using pre-defined volumes of interest, which were also applied to the regional time-activity curves from the dynamic data. Parametric data were compared to their regional counterparts and to two-tissue compartment model (2TCM)-based values (previously defined as the model of choice for rats). Parameter agreement was assessed by linear regression analysis and Bland-Altman plots.Results: All parametric methods strongly correlated to their regional counterparts (R 2 > 0.97) and to the 2TCM values (R 2 ≥ 0.95). SA and RLogan underestimated V T and BP ND (slope of 0.93 and 0.86, respectively), while SUVR-1 overestimated BP ND (slope higher than 1.07 for all intervals). While BFM and SRTM2 had the smallest bias to 2TCM values (0.05 for both), ratio Bland-Altman plots showed Logan and RLogan displayed relative errors which were comparable between different regions, in contrast with the other methods. Although SUV consistently underestimated V T, the bias in this method was also constant across regions.Conclusions: All parametric methods performed well for the analysis of [11C]flumazenil distribution and binding in the rat brain. However, Logan and RLogan slightly outperformed the other methods in terms of precision, providing robust parameter estimation and constant bias. Yet, other methods can be of interest, because they can provide tissue perfusion (i.e., K 1 with BFM and SA), relative flow (i.e., R 1 with RPM and SRTM2), and model order (SA) images. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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