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Estimation of regional bone metabolism from whole-body 18F-fluoride PET static images

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European Journal of Nuclear Medicine and Molecular Imaging Aims and scope Submit manuscript

Abstract

Purpose

We evaluate a new quantitative method of acquiring and analysing 18F positron emission tomography (PET) studies that enables regional bone plasma clearance (K i ) to be estimated from static scans acquired at multiple sites in the skeleton following a single injection of tracer.

Methods

Dynamic lumbar spine 18F PET data from two clinical trials were used to simulate a series of static scans acquired 30–60 min after injection. Venous blood samples were taken at 30, 40, 50 and 60 min and K i evaluated by Patlak analysis and the static scan method. The data were used to evaluate the precision errors of the Patlak and static scan methods expressed as the percentage coefficient of variation (%CV) and compare their response to 6 months of treatment with the bone anabolic agent teriparatide.

Results

Static scan K i measurements 30–60 min after injection were highly correlated with the Patlak results (r > 0.99). The %CV for the static scan method was 17.5% 30 min after injection, decreasing to 14.5% at 60 min, compared with 13.0% for Patlak analysis. Response to teriparatide treatment was +25.2% for the static scan method compared with +24.3% for Patlak analysis. The mean ratio (SD) of the static scan and Patlak K i results was 1.006 (0.015) at 30 min after injection decreasing to 0.965 (0.015) at 60 min.

Conclusion

18F-Fluoride bone plasma clearance can be estimated from a static scan and venous blood samples acquired 30–60 min after injection. The method enables K i to be estimated at multiple skeletal sites with a single injection of tracer.

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Acknowledgement

Study 1 was supported by an unrestricted grant from Warner Chilcott. Study 2 was supported by a research grant from Eli Lilly & Company.

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Authors and Affiliations

  1. King’s College London, Osteoporosis Screening & Research Unit, Guy’s Hospital, 1st Floor, Tower Wing, London, SE1 9RT, UK

    Musib Siddique, Glen M. Blake, Michelle L. Frost, Amelia E. B. Moore & Ignac Fogelman

  2. King’s College London, PET Imaging Centre, St Thomas’ Hospital, London, UK

    Tanuj Puri & Paul K. Marsden

Authors
  1. Musib Siddique
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  2. Glen M. Blake
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  3. Michelle L. Frost
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  4. Amelia E. B. Moore
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  5. Tanuj Puri
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  6. Paul K. Marsden
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  7. Ignac Fogelman
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Corresponding author

Correspondence to Musib Siddique.

Appendix: sensitivity analysis

Appendix: sensitivity analysis

Differentiating K i with respect to V 0 , in Eq. 2, we get,

$$ \frac{{d{K_i}}}{{d{V_0}}} = - \frac{{{C_{{plasma}}}(T)}}{{\int {{C_{{plasma}}}(t)dt} }} $$

Typically at T = 60 min, \( {C_{{plasma}}}(T) = {\text{ 2 KBq}}/{\text{ml}} \), and \( \int_0^T {{C_{{plasma}}}(t)dt} = {26}0\,{\text{KBq}}/{\text{ml}} {\text{min,}} \)so, \( \frac{{d{K_i}}}{{d{V_0}}} = { } - 0.0{77} \)

Assuming V 0 takes values 0.4 ± 0.2, maximum error in net plasma clearance is:

$$ d{K_i} = { }\pm { }0.0{77}*0.{2 } = { }\pm { }0.0{15} $$

Since the typical K i value at the lumbar spine is 0.03, the percentage error is:

$$ \% {\text{ Error in}}\,{K_i} = {1}00*0.00{15}/0.0{3} = {5}\% $$

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Siddique, M., Blake, G.M., Frost, M.L. et al. Estimation of regional bone metabolism from whole-body 18F-fluoride PET static images. Eur J Nucl Med Mol Imaging 39, 337–343 (2012). https://doi.org/10.1007/s00259-011-1966-y

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  • DOI: https://doi.org/10.1007/s00259-011-1966-y

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