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Parametric Net Influx Rate Images of 68 Ga-DOTATOC and 68 Ga-DOTATATE: Quantitative Accuracy and Improved Image Contrast.

Authors :
Ilan E
Sandström M
Velikyan I
Sundin A
Eriksson B
Lubberink M
Source :
Journal of nuclear medicine : official publication, Society of Nuclear Medicine [J Nucl Med] 2017 May; Vol. 58 (5), pp. 744-749. Date of Electronic Publication: 2016 Oct 27.
Publication Year :
2017

Abstract

<superscript>68</superscript> Ga-DOTATOC and <superscript>68</superscript> Ga-DOTATATE are radiolabeled somatostatin analogs used for the diagnosis of somatostatin receptor-expressing neuroendocrine tumors (NETs), and SUV measurements are suggested for treatment monitoring. However, changes in net influx rate ( K <subscript>i</subscript> ) may better reflect treatment effects than those of the SUV, and accordingly there is a need to compute parametric images showing K <subscript>i</subscript> at the voxel level. The aim of this study was to evaluate parametric methods for computation of parametric K <subscript>i</subscript> images by comparison to volume of interest (VOI)-based methods and to assess image contrast in terms of tumor-to-liver ratio. Methods: Ten patients with metastatic NETs underwent a 45-min dynamic PET examination followed by whole-body PET/CT at 1 h after injection of <superscript>68</superscript> Ga-DOTATOC and <superscript>68</superscript> Ga-DOTATATE on consecutive days. Parametric K <subscript>i</subscript> images were computed using a basis function method (BFM) implementation of the 2-tissue-irreversible-compartment model and the Patlak method using a descending aorta image-derived input function, and mean tumor K <subscript>i</subscript> values were determined for 50% isocontour VOIs and compared with K <subscript>i</subscript> values based on nonlinear regression (NLR) of the whole-VOI time-activity curve. A subsample of healthy liver was delineated in the whole-body and K <subscript>i</subscript> images, and tumor-to-liver ratios were calculated to evaluate image contrast. Correlation ( R <superscript>2</superscript> ) and agreement between VOI-based and parametric K <subscript>i</subscript> values were assessed using regression and Bland-Altman analysis. Results: The R <superscript>2</superscript> between NLR-based and parametric image-based (BFM) tumor K <subscript>i</subscript> values was 0.98 (slope, 0.81) and 0.97 (slope, 0.88) for <superscript>68</superscript> Ga-DOTATOC and <superscript>68</superscript> Ga-DOTATATE, respectively. For Patlak analysis, the R <superscript>2</superscript> between NLR-based and parametric-based (Patlak) tumor K <subscript>i</subscript> was 0.95 (slope, 0.71) and 0.92 (slope, 0.74) for <superscript>68</superscript> Ga-DOTATOC and <superscript>68</superscript> Ga-DOTATATE, respectively. There was no bias between NLR and parametric-based K <subscript>i</subscript> values. Tumor-to-liver contrast was 1.6 and 2.0 times higher in the parametric BFM K <subscript>i</subscript> images and 2.3 and 3.0 times in the Patlak images than in the whole-body images for <superscript>68</superscript> Ga-DOTATOC and <superscript>68</superscript> Ga-DOTATATE, respectively. Conclusion: A high R <superscript>2</superscript> and agreement between NLR- and parametric-based K <subscript>i</subscript> values was found, showing that K <subscript>i</subscript> images are quantitatively accurate. In addition, tumor-to-liver contrast was superior in the parametric K <subscript>i</subscript> images compared with whole-body images for both <superscript>68</superscript> Ga-DOTATOC and <superscript>68</superscript> Ga DOTATATE.<br /> (© 2017 by the Society of Nuclear Medicine and Molecular Imaging.)

Details

Language :
English
ISSN :
1535-5667
Volume :
58
Issue :
5
Database :
MEDLINE
Journal :
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Publication Type :
Academic Journal
Accession number :
27789716
Full Text :
https://doi.org/10.2967/jnumed.116.180380