Calibrated image-derived input functions for the determination of the metabolic uptake rate of glucose with [18F]-FDG PET

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Standard

Calibrated image-derived input functions for the determination of the metabolic uptake rate of glucose with [18F]-FDG PET. / Christensen, Anders N; Reichkendler, Michala H; Larsen, Rasmus; Auerbach, Pernille; Højgaard, Liselotte; Nielsen, Henning B; Ploug, Thorkil; Stallknecht, Bente; Holm, Søren.

I: Nuclear Medicine Communications, Bind 35, Nr. 4, 04.2014, s. 353-61.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Christensen, AN, Reichkendler, MH, Larsen, R, Auerbach, P, Højgaard, L, Nielsen, HB, Ploug, T, Stallknecht, B & Holm, S 2014, 'Calibrated image-derived input functions for the determination of the metabolic uptake rate of glucose with [18F]-FDG PET', Nuclear Medicine Communications, bind 35, nr. 4, s. 353-61. https://doi.org/10.1097/MNM.0000000000000063

APA

Christensen, A. N., Reichkendler, M. H., Larsen, R., Auerbach, P., Højgaard, L., Nielsen, H. B., ... Holm, S. (2014). Calibrated image-derived input functions for the determination of the metabolic uptake rate of glucose with [18F]-FDG PET. Nuclear Medicine Communications, 35(4), 353-61. https://doi.org/10.1097/MNM.0000000000000063

Vancouver

Christensen AN, Reichkendler MH, Larsen R, Auerbach P, Højgaard L, Nielsen HB o.a. Calibrated image-derived input functions for the determination of the metabolic uptake rate of glucose with [18F]-FDG PET. Nuclear Medicine Communications. 2014 apr;35(4):353-61. https://doi.org/10.1097/MNM.0000000000000063

Author

Christensen, Anders N ; Reichkendler, Michala H ; Larsen, Rasmus ; Auerbach, Pernille ; Højgaard, Liselotte ; Nielsen, Henning B ; Ploug, Thorkil ; Stallknecht, Bente ; Holm, Søren. / Calibrated image-derived input functions for the determination of the metabolic uptake rate of glucose with [18F]-FDG PET. I: Nuclear Medicine Communications. 2014 ; Bind 35, Nr. 4. s. 353-61.

Bibtex

@article{f19c7306e91749fdbb1a267496040578,
title = "Calibrated image-derived input functions for the determination of the metabolic uptake rate of glucose with [18F]-FDG PET",
abstract = "PURPOSE: We investigated the use of a simple calibration method to remove bias in previously proposed approaches to image-derived input functions (IDIFs) when used to calculate the metabolic uptake rate of glucose (K(m)) from dynamic [(18)F]-FDG PET scans of the thigh. Our objective was to obtain nonbiased, low-variance K(m) values without blood sampling.MATERIALS AND METHODS: We evaluated eight previously proposed IDIF methods. K(m) values derived from these IDIFs were compared with Km values calculated from the arterial blood samples (gold standard). We used linear regression to extract calibration parameters to remove bias. Following calibration, cross-validation and bootstrapping were used to estimate the mean square error and variance.RESULTS: Three of the previously proposed methods failed mainly because of zero-crossings of the IDIF. The remaining five methods were improved by calibration, yielding unbiased Km values. The method with the lowest SD yielded an SD of 0.0017/min--that is, below 10{\%} of the muscle K(m) value in this study.CONCLUSION: Previously proposed IDIF methods can be improved by using a simple calibration procedure. The calibration procedure may be used in other studies, thus obviating the need for arterial blood sampling, once the calibration parameters have been established in a subgroup of participants. The method has potential for use in other parts of the body as it is robust with regard to partial volume effects.",
author = "Christensen, {Anders N} and Reichkendler, {Michala H} and Rasmus Larsen and Pernille Auerbach and Liselotte H{\o}jgaard and Nielsen, {Henning B} and Thorkil Ploug and Bente Stallknecht and S{\o}ren Holm",
year = "2014",
month = "4",
doi = "10.1097/MNM.0000000000000063",
language = "English",
volume = "35",
pages = "353--61",
journal = "Nuclear Medicine Communications",
issn = "0143-3636",
publisher = "Lippincott Williams & Wilkins",
number = "4",

}

RIS

TY - JOUR

T1 - Calibrated image-derived input functions for the determination of the metabolic uptake rate of glucose with [18F]-FDG PET

AU - Christensen, Anders N

AU - Reichkendler, Michala H

AU - Larsen, Rasmus

AU - Auerbach, Pernille

AU - Højgaard, Liselotte

AU - Nielsen, Henning B

AU - Ploug, Thorkil

AU - Stallknecht, Bente

AU - Holm, Søren

PY - 2014/4

Y1 - 2014/4

N2 - PURPOSE: We investigated the use of a simple calibration method to remove bias in previously proposed approaches to image-derived input functions (IDIFs) when used to calculate the metabolic uptake rate of glucose (K(m)) from dynamic [(18)F]-FDG PET scans of the thigh. Our objective was to obtain nonbiased, low-variance K(m) values without blood sampling.MATERIALS AND METHODS: We evaluated eight previously proposed IDIF methods. K(m) values derived from these IDIFs were compared with Km values calculated from the arterial blood samples (gold standard). We used linear regression to extract calibration parameters to remove bias. Following calibration, cross-validation and bootstrapping were used to estimate the mean square error and variance.RESULTS: Three of the previously proposed methods failed mainly because of zero-crossings of the IDIF. The remaining five methods were improved by calibration, yielding unbiased Km values. The method with the lowest SD yielded an SD of 0.0017/min--that is, below 10% of the muscle K(m) value in this study.CONCLUSION: Previously proposed IDIF methods can be improved by using a simple calibration procedure. The calibration procedure may be used in other studies, thus obviating the need for arterial blood sampling, once the calibration parameters have been established in a subgroup of participants. The method has potential for use in other parts of the body as it is robust with regard to partial volume effects.

AB - PURPOSE: We investigated the use of a simple calibration method to remove bias in previously proposed approaches to image-derived input functions (IDIFs) when used to calculate the metabolic uptake rate of glucose (K(m)) from dynamic [(18)F]-FDG PET scans of the thigh. Our objective was to obtain nonbiased, low-variance K(m) values without blood sampling.MATERIALS AND METHODS: We evaluated eight previously proposed IDIF methods. K(m) values derived from these IDIFs were compared with Km values calculated from the arterial blood samples (gold standard). We used linear regression to extract calibration parameters to remove bias. Following calibration, cross-validation and bootstrapping were used to estimate the mean square error and variance.RESULTS: Three of the previously proposed methods failed mainly because of zero-crossings of the IDIF. The remaining five methods were improved by calibration, yielding unbiased Km values. The method with the lowest SD yielded an SD of 0.0017/min--that is, below 10% of the muscle K(m) value in this study.CONCLUSION: Previously proposed IDIF methods can be improved by using a simple calibration procedure. The calibration procedure may be used in other studies, thus obviating the need for arterial blood sampling, once the calibration parameters have been established in a subgroup of participants. The method has potential for use in other parts of the body as it is robust with regard to partial volume effects.

U2 - 10.1097/MNM.0000000000000063

DO - 10.1097/MNM.0000000000000063

M3 - Journal article

C2 - 24335879

VL - 35

SP - 353

EP - 361

JO - Nuclear Medicine Communications

JF - Nuclear Medicine Communications

SN - 0143-3636

IS - 4

ER -

ID: 115731511