Non-invasive quantification of brain [&lt;sup&gt;18&lt;/sup&gt;F]-FDG uptake by combining medical health records and dynamic PET imaging data

Roccia, Elisa; Mikhno, Arthur; Zanderigo, Francesca; Angelini, Elsa D.; Ogden, R. Todd; Mann, J. John; Laine, Andrew F.

doi:10.1109/embc.2015.7318838

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…The renewed interest in this method is mainly due to recent technological advances in computer speed, reducing computational time significantly. The accuracy of SIME highly depends on both the number and the diversity in shapes of the tissue TACs used [51]. The acquisition of sufficiently divergent TACs is generally considered to be the main problem with SIME.…”

Section: Validation Of Simulation Estimation Of the Input Functionmentioning

confidence: 99%

Non-invasive kinetic modelling approaches for quantitative analysis of brain PET studies

Weijden

Mossel

Bartels

et al. 2023

Eur J Nucl Med Mol Imaging

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Pharmacokinetic modelling with arterial sampling is the gold standard for analysing dynamic PET data of the brain. However, the invasive character of arterial sampling prevents its widespread clinical application. Several methods have been developed to avoid arterial sampling, in particular reference region methods. Unfortunately, for some tracers or diseases, no suitable reference region can be defined. For these cases, other potentially non-invasive approaches have been proposed: (1) a population based input function (PBIF), (2) an image derived input function (IDIF), or (3) simultaneous estimation of the input function (SIME). This systematic review aims to assess the correspondence of these non-invasive methods with the gold standard. Studies comparing non-invasive pharmacokinetic modelling methods with the current gold standard methods using an input function derived from arterial blood samples were retrieved from PubMed/MEDLINE (until December 2021). Correlation measurements were extracted from the studies. The search yielded 30 studies that correlated outcome parameters (VT, DVR, or BPND for reversible tracers; Ki or CMRglu for irreversible tracers) from a potentially non-invasive method with those obtained from modelling using an arterial input function. Some studies provided similar results for PBIF, IDIF, and SIME-based methods as for modelling with an arterial input function (R2 = 0.59–1.00, R2 = 0.71–1.00, R2 = 0.56–0.96, respectively), if the non-invasive input curve was calibrated with arterial blood samples. Even when the non-invasive input curve was calibrated with venous blood samples or when no calibration was applied, moderate to good correlations were reported, especially for the IDIF and SIME (R2 = 0.71–1.00 and R2 = 0.36–0.96, respectively). Overall, this systematic review illustrates that non-invasive methods to generate an input function are still in their infancy. Yet, IDIF and SIME performed well, not only with arterial blood calibration, but also with venous or no blood calibration, especially for some tracers without plasma metabolites, which would potentially make these methods better suited for clinical application. However, these methods should still be properly validated for each individual tracer and application before implementation.

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Section: Validation Of Simulation Estimation Of the Input Functionmentioning

confidence: 99%

Non-invasive kinetic modelling approaches for quantitative analysis of brain PET studies

Weijden

Mossel

Bartels

et al. 2023

Eur J Nucl Med Mol Imaging

View full text Add to dashboard Cite

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Quantification of Positron Emission Tomography Data Using Simultaneous Estimation of the Input Function: Validation with Venous Blood and Replication of Clinical Studies

et al. 2018

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Non-invasive quantification of brain [<sup>18</sup>F]-FDG uptake by combining medical health records and dynamic PET imaging data

Cited by 2 publications

References 4 publications

Non-invasive kinetic modelling approaches for quantitative analysis of brain PET studies

Non-invasive kinetic modelling approaches for quantitative analysis of brain PET studies

Quantification of Positron Emission Tomography Data Using Simultaneous Estimation of the Input Function: Validation with Venous Blood and Replication of Clinical Studies

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