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“Pseudo-reference-based Input Function Shape” (pRef-IFS): Towards a True image-derived input function for PET kinetic modeling

delete2026-01-16
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PRE
AI
T
Tommaso Volpi
M
Mika Naganawa
A
Ansel T. Hillmer
DOI:10.1177/0271678x251411712delete
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Abstract

Abstract

En 中文
<jats:p> PET absolute quantification requires the metabolite-corrected plasma input function ( <jats:italic toggle="yes">C</jats:italic> <jats:sub>P</jats:sub> ), 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 <jats:italic toggle="yes">C</jats:italic> <jats:sub>P</jats:sub> from PET data in two steps: (1) generating the unscaled <jats:italic toggle="yes">C</jats:italic> <jats:sub>P</jats:sub> <jats:italic toggle="yes">shape</jats:italic> from a pseudo-reference region (pRef) described by a one-tissue (1T) compartment model, with the pRef clearance rate <jats:inline-formula> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:mrow> <mml:msubsup> <mml:mi>k</mml:mi> <mml:mn>2</mml:mn> <mml:mo>′</mml:mo> </mml:msubsup> </mml:mrow> </mml:mrow> </mml:math> </jats:inline-formula> either estimated with simplified reference tissue models (SRTM) or assumed <jats:italic toggle="yes">a priori</jats:italic> ; (2) <jats:italic toggle="yes">scaling C</jats:italic> <jats:sub>P</jats:sub> 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 <jats:inline-formula> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:mrow> <mml:msubsup> <mml:mi>k</mml:mi> <mml:mn>2</mml:mn> <mml:mo>′</mml:mo> </mml:msubsup> </mml:mrow> </mml:mrow> </mml:math> </jats:inline-formula> estimates on pRef-IFS recovery with both synthetic and human data. The distribution volumes ( <jats:italic toggle="yes">V</jats:italic> <jats:sub>T</jats:sub> ) were the main outcome measure. With 1T kinetics, SRTM <jats:inline-formula> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:mrow> <mml:msubsup> <mml:mi>k</mml:mi> <mml:mn>2</mml:mn> <mml:mo>′</mml:mo> </mml:msubsup> </mml:mrow> </mml:mrow> </mml:math> </jats:inline-formula> was unbiased, irrespective of pRef specific binding; pRef-IFS had small <jats:italic toggle="yes">V</jats:italic> <jats:sub>T</jats:sub> bias in real data: <jats:sup>11</jats:sup> C-LSN3172176 (cerebellum pRef: −2 ± 5%; thalamus: 11±8%); <jats:sup>18</jats:sup> F-SynVesT-1 (centrum semiovale: −1 ± 14%; cerebellum: 6 ± 4%). With two-tissue kinetics, pRef-IFS performed poorly, especially with <jats:sup>18</jats:sup> F-FPEB, while <jats:sup>18</jats:sup> 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. </jats:p>

Journal

J
journal of cerebral blood flow and metabolism
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0
Papers:
67
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Organization

Y
yale university
Scholars:
8.0K
Papers: 3.4K
Citations: 2