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“Pseudo-reference-based Input Function Shape” (pRef-IFS): Towards a True image-derived input function for PET kinetic modeling
DOI:10.1177/0271678x251411712.png)
Abstract
En 中文
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PET absolute quantification requires the metabolite-corrected plasma input function (
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), especially when an ideal reference region is unavailable. We propose “pseudo-Reference-based Input Function Shape” (pRef-IFS), a novel non-invasive method to estimate
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from PET data in two steps: (1) generating the unscaled
<jats:italic toggle="yes">C</jats:italic>
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from a pseudo-reference region (pRef) described by a one-tissue (1T) compartment model, with the pRef clearance rate
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either estimated with simplified reference tissue models (SRTM) or assumed
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; (2)
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with an early image-derived blood time-activity curve (ID-BTAC). We here explored the first step (assuming accurate step-2 scaling), evaluating the impact of violating 1T assumptions and inaccurate
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estimates on pRef-IFS recovery with both synthetic and human data. The distribution volumes (
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) were the main outcome measure. With 1T kinetics, SRTM
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was unbiased, irrespective of pRef specific binding; pRef-IFS had small
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bias in real data:
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C-LSN3172176 (cerebellum pRef: −2 ± 5%; thalamus: 11±8%);
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F-SynVesT-1 (centrum semiovale: −1 ± 14%; cerebellum: 6 ± 4%). With two-tissue kinetics, pRef-IFS performed poorly, especially with
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F-FPEB, while
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F-ASEM produced small biases (cerebellum: −4 ± 10%). If good scaling with ID-BTAC can be achieved, pRef-IFS promises to be fully non-invasive for radiotracers reasonably described by 1T kinetics, even with modest specific binding in the pRef.
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Journal
J
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0
Papers:
67
Citations:
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