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Quantification of serotonin tranporters with [11C]AFM: Evaluation of reference region methods

https://repo.qst.go.jp/records/62671
https://repo.qst.go.jp/records/62671
d4e51de3-f300-4dc5-b52d-04a2d4cf4299
Item type 会議発表用資料 / Presentation(1)
公開日 2008-08-11
タイトル
タイトル Quantification of serotonin tranporters with [11C]AFM: Evaluation of reference region methods
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_c94f
資源タイプ conference object
アクセス権
アクセス権 metadata only access
アクセス権URI http://purl.org/coar/access_right/c_14cb
著者 Naganawa, Mika

× Naganawa, Mika

WEKO 619096

Naganawa, Mika

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et.al

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WEKO 619097

et.al

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長縄 美香

× 長縄 美香

WEKO 619098

en 長縄 美香

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抄録
内容記述タイプ Abstract
内容記述 Introduction: [11C]AFM is a new, highly selective PET radioligand for the serotonin transporter (Huang et al., 2004). Metabolism of [11C]AFM is rapid with parent fraction of 30% and 8% at 30 and 90 min, respectively, and the accurate measurement of the metabolite or input function is difficult. The aim of this study is to investigate the suitability of reference region approaches for human [11C]AFM studies with ROI analysis.
Methods: Nine healthy subjects were included in this study, and four subjects were involved in a test-retest protocol. The average dose was 555 plusminus 41 MBq, and dynamic PET scans were acquired for 2 h with an HRRT scanner. The automated anatomical labeling template was used to generate 7 regional time-activity curves (TACs): cerebellum (reference region), caudate, hippocampus, frontal lobe, temporal lobe, putamen, and thalamus. TACs were analyzed using one- and two-tissue compartment models (1T, 2T), Logan graphical analysis (LGA) and multilinear analysis (MA1) with a metabolite-corrected input function. TACs were also analyzed using three reference region approaches: SRTM, SRTM2, and reference-region based Logan graphical analysis (LGAR). The clearance rate constant of the reference region (k2') for SRTM2 was calculated using SRTM, and k2' for LGAR was fixed to be 0.05 [1/min], the mean value from the 1T model. For all graphical methods, tlow asterisk was set to be 60 min postinjection.
Results: The use of 2T model was associated with unstable estimates. The ROIs with high VT were well described by 1T model. A lack of fit was observed in ROIs with low VT in 5/13 scans. The values of VT ranged from 7.0 plusminus 1.2 (cerebellum) to 24.9 plusminus 5.3 (putamen), with K1 values of 0.34 plusuminus 0.06 to 0.45 plusminus 0.07 [mL/min/cm3]. Compared with the estimates at t* = 60, the percent differences of BPND using LGA, MA1 and LGAR were 4.3 plusminus 5.1, 5.2 plusminus 5.3, and 4.1 plusminus 3.0 at t* = 20, respectively. The estimated BPND of LGA and MA1 matched well (BPND(MA1) = 1.02BPND(LGA) - 0.00 (r2 = 1.00)). This suggests that noise level in TACs is low. All three reference region approaches provided similar results. The linear regressions were BPND(SRTM) = 0.91BPND(LGA) + 0.06 (r2 = 0.99), BPND(SRTM2) = 0.87BPND(LGA) + 0.03 (r2 = 0.98), and BPND(LGAR) = 0.98BPND(LGA) + 0.00 (r2 = 1.00). The fit with 3-parameter SRTM was better than that of 2-parameter SRTM2. Fig. 1 shows the distributions of BPND estimated using different methods.
Conclusion: BPND values obtained using reference region approaches were very similar to those from arterial input function methods, especially in regions with small BPND. Since all methods provide similar results for ROI curves, the choice of best method for ultimate pixel-by-pixel analysis should also consider the magnitude of noise-induced bias effects.
会議概要(会議名, 開催地, 会期, 主催者等)
内容記述タイプ Other
内容記述 Neuroreceptor Mapping 2008
発表年月日
日付 2008-07-19
日付タイプ Issued
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