Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with 
                        11
                        C-SB201745

Hasan Sari; Kjell Erlandsson; Lisbeth Marner; Ian Law; Henrik B.W. Larsson; Kris Thielemans; Sébastien Ourselin; Simon Arridge; David Atkinson; Brian F. Hutton

doi:10.1186/s13550-018-0412-6

Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with ¹¹ C-SB201745

Hasan Sari^*, Kjell Erlandsson, Lisbeth Marner, Ian Law, Henrik B.W. Larsson, Kris Thielemans, Sébastien Ourselin, Simon Arridge, David Atkinson, Brian F. Hutton

^*Corresponding author for this work

Department of Clinical Medicine

3 Citations (Scopus)

29 Downloads (Pure)

Abstract

Background: Kinetic analysis of dynamic PET data requires an accurate knowledge of available PET tracer concentration within blood plasma over time, known as the arterial input function (AIF). The gold standard method used to measure the AIF requires serial arterial blood sampling over the course of the PET scan, which is an invasive procedure and makes this method less practical in clinical settings. Traditional image-derived methods are limited to specific tracers and are not accurate if metabolites are present in the plasma. Results: In this work, we utilise an image-derived whole blood curve measurement to reduce the computational complexity of the simultaneous estimation method (SIME), which is capable of estimating the AIF directly from tissue time activity curves (TACs). This method was applied to data obtained from a serotonin receptor study ( ¹¹ C-SB207145) and estimated parameter results are compared to results obtained using the original SIME and gold standard AIFs derived from arterial samples. Reproducibility of the method was assessed using test-retest data. It was shown that the incorporation of image-derived information increased the accuracy of total volume of distribution (V _T ) estimates, averaged across all regions, by 40% and non-displaceable binding potential (BP _ND ) estimates by 16% compared to the original SIME. Particular improvements were observed in K ₁ parameter estimates. BP _ND estimates, based on the proposed method and the gold standard arterial sample-derived AIF, were not significantly different (P=0.7). Conclusions: The results of this work indicate that the proposed method with prior AIF information obtained from a partial volume corrected image-derived whole blood curve, and modelled parent fraction, has the potential to be used as an alternative non-invasive method to perform kinetic analysis of tracers with metabolite products.

Original language	English
Article number	58
Journal	EJNMMI Research
Volume	8
Number of pages	12
ISSN	2191-219X
DOIs	https://doi.org/10.1186/s13550-018-0412-6
Publication status	Published - 2018

Keywords

Arterial input function
Kinetic modelling
PET/MR
Positron emission tomography

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10.1186/s13550-018-0412-6Licence: CC BY

Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with 11C-SB201745Final published version, 938 KBLicence: CC BY

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Sari, H., Erlandsson, K., Marner, L., Law, I., Larsson, H. B. W., Thielemans, K., Ourselin, S., Arridge, S., Atkinson, D., & Hutton, B. F. (2018). Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with ¹¹ C-SB201745. EJNMMI Research, 8, [58]. https://doi.org/10.1186/s13550-018-0412-6

Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method : evaluation with ¹¹ C-SB201745. / Sari, Hasan; Erlandsson, Kjell; Marner, Lisbeth et al.

In: EJNMMI Research, Vol. 8, 58, 2018.

Research output: Contribution to journal › Journal article › Research › peer-review

Sari, H, Erlandsson, K, Marner, L , Law, I , Larsson, HBW, Thielemans, K, Ourselin, S, Arridge, S, Atkinson, D & Hutton, BF 2018, 'Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with ¹¹ C-SB201745', EJNMMI Research, vol. 8, 58. https://doi.org/10.1186/s13550-018-0412-6

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title = "Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with 11 C-SB201745",

abstract = " Background: Kinetic analysis of dynamic PET data requires an accurate knowledge of available PET tracer concentration within blood plasma over time, known as the arterial input function (AIF). The gold standard method used to measure the AIF requires serial arterial blood sampling over the course of the PET scan, which is an invasive procedure and makes this method less practical in clinical settings. Traditional image-derived methods are limited to specific tracers and are not accurate if metabolites are present in the plasma. Results: In this work, we utilise an image-derived whole blood curve measurement to reduce the computational complexity of the simultaneous estimation method (SIME), which is capable of estimating the AIF directly from tissue time activity curves (TACs). This method was applied to data obtained from a serotonin receptor study ( 11 C-SB207145) and estimated parameter results are compared to results obtained using the original SIME and gold standard AIFs derived from arterial samples. Reproducibility of the method was assessed using test-retest data. It was shown that the incorporation of image-derived information increased the accuracy of total volume of distribution (V T ) estimates, averaged across all regions, by 40% and non-displaceable binding potential (BP ND ) estimates by 16% compared to the original SIME. Particular improvements were observed in K 1 parameter estimates. BP ND estimates, based on the proposed method and the gold standard arterial sample-derived AIF, were not significantly different (P=0.7). Conclusions: The results of this work indicate that the proposed method with prior AIF information obtained from a partial volume corrected image-derived whole blood curve, and modelled parent fraction, has the potential to be used as an alternative non-invasive method to perform kinetic analysis of tracers with metabolite products. ",

keywords = "Arterial input function, Kinetic modelling, PET/MR, Positron emission tomography",

author = "Hasan Sari and Kjell Erlandsson and Lisbeth Marner and Ian Law and Larsson, {Henrik B.W.} and Kris Thielemans and S{\'e}bastien Ourselin and Simon Arridge and David Atkinson and Hutton, {Brian F.}",

year = "2018",

doi = "10.1186/s13550-018-0412-6",

language = "English",

volume = "8",

journal = "EJNMMI Research",

issn = "2191-219X",

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TY - JOUR

T1 - Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method

T2 - evaluation with 11 C-SB201745

AU - Sari, Hasan

AU - Erlandsson, Kjell

AU - Marner, Lisbeth

AU - Law, Ian

AU - Larsson, Henrik B.W.

AU - Thielemans, Kris

AU - Ourselin, Sébastien

AU - Arridge, Simon

AU - Atkinson, David

AU - Hutton, Brian F.

PY - 2018

Y1 - 2018

N2 - Background: Kinetic analysis of dynamic PET data requires an accurate knowledge of available PET tracer concentration within blood plasma over time, known as the arterial input function (AIF). The gold standard method used to measure the AIF requires serial arterial blood sampling over the course of the PET scan, which is an invasive procedure and makes this method less practical in clinical settings. Traditional image-derived methods are limited to specific tracers and are not accurate if metabolites are present in the plasma. Results: In this work, we utilise an image-derived whole blood curve measurement to reduce the computational complexity of the simultaneous estimation method (SIME), which is capable of estimating the AIF directly from tissue time activity curves (TACs). This method was applied to data obtained from a serotonin receptor study ( 11 C-SB207145) and estimated parameter results are compared to results obtained using the original SIME and gold standard AIFs derived from arterial samples. Reproducibility of the method was assessed using test-retest data. It was shown that the incorporation of image-derived information increased the accuracy of total volume of distribution (V T ) estimates, averaged across all regions, by 40% and non-displaceable binding potential (BP ND ) estimates by 16% compared to the original SIME. Particular improvements were observed in K 1 parameter estimates. BP ND estimates, based on the proposed method and the gold standard arterial sample-derived AIF, were not significantly different (P=0.7). Conclusions: The results of this work indicate that the proposed method with prior AIF information obtained from a partial volume corrected image-derived whole blood curve, and modelled parent fraction, has the potential to be used as an alternative non-invasive method to perform kinetic analysis of tracers with metabolite products.

AB - Background: Kinetic analysis of dynamic PET data requires an accurate knowledge of available PET tracer concentration within blood plasma over time, known as the arterial input function (AIF). The gold standard method used to measure the AIF requires serial arterial blood sampling over the course of the PET scan, which is an invasive procedure and makes this method less practical in clinical settings. Traditional image-derived methods are limited to specific tracers and are not accurate if metabolites are present in the plasma. Results: In this work, we utilise an image-derived whole blood curve measurement to reduce the computational complexity of the simultaneous estimation method (SIME), which is capable of estimating the AIF directly from tissue time activity curves (TACs). This method was applied to data obtained from a serotonin receptor study ( 11 C-SB207145) and estimated parameter results are compared to results obtained using the original SIME and gold standard AIFs derived from arterial samples. Reproducibility of the method was assessed using test-retest data. It was shown that the incorporation of image-derived information increased the accuracy of total volume of distribution (V T ) estimates, averaged across all regions, by 40% and non-displaceable binding potential (BP ND ) estimates by 16% compared to the original SIME. Particular improvements were observed in K 1 parameter estimates. BP ND estimates, based on the proposed method and the gold standard arterial sample-derived AIF, were not significantly different (P=0.7). Conclusions: The results of this work indicate that the proposed method with prior AIF information obtained from a partial volume corrected image-derived whole blood curve, and modelled parent fraction, has the potential to be used as an alternative non-invasive method to perform kinetic analysis of tracers with metabolite products.

KW - Arterial input function

KW - Kinetic modelling

KW - PET/MR

KW - Positron emission tomography

U2 - 10.1186/s13550-018-0412-6

DO - 10.1186/s13550-018-0412-6

M3 - Journal article

C2 - 29971517

AN - SCOPUS:85049375520

SN - 2191-219X

VL - 8

JO - EJNMMI Research

JF - EJNMMI Research

M1 - 58

ER -

Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with 11 C-SB201745

Abstract

Keywords

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Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with ¹¹ C-SB201745