Fitting of late dynamic [18F]MK6240 PET scans for in vivo tau quantification

  • Eric LaffonEmail author
  • Sébastien Buj
  • Henri de Clermont
  • Roger Marthan
Letter to the Editor
Part of the following topical collections:
  1. Neurology

Dear Sir,

We read with great interest the comparison by Guehl et al. of different strategies for in vivo quantification of tau aggregates with [18F]MK6240 in patients with Alzheimer’s disease (AD) or mild cognitive impairment (MCI) and in control subjects (CTRL)[1]. This comparison involved compartment modeling analysis including arterial blood sampling, as well as graphical and simplified methods. For all subjects, the preferred compartmental model was a reversible two-tissue model with the blood contribution included as a model parameter (2T4k1v). This model allowed the authors to fit the [18F]MK6240 uptake of MCI/AD patients, revealing a wide dynamic range as compared with CTRL subjects uptake (Fig. 2 by Guehl et al.). It also showed that the corresponding binding patterns were consistent with neurofibrillary tau deposition patterns [1]. In particular, the 2T4k1v model provided distribution volume ratios (DVR) where cerebellar gray matter (CGM) was used as the reference tissue,...


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Conflict of interest

The authors declare that they have no conflict of interest.

Research involving human participants and/or animals

Not applicable.

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  1. 1.
    Guehl NJ, Wooten DW, Yokell DL, Moon SH, Dhaynaut M, Katz S, et al. Evaluation of pharmacokinetic modeling strategies for in vivo quantification of tau with the radiotracer [18F]MK6240 in human subjects. Eur J Nucl Med Mol Imaging. 2019;46:2099–111.CrossRefGoogle Scholar
  2. 2.
    Laffon E, Calcagni ML, Galli G, Giordano A, Capotosti A, Marthan R, et al. Comparison of three-parameter kinetic model analysis to standard Patlak's analysis in 18F-FDG PET imaging of lung cancer patients. EJNMMI Res. 2018;8:24–32.CrossRefGoogle Scholar
  3. 3.
    JCGM. Evaluation of measurement data – guide to the expression of uncertainty in measurement. 2008;(September 2008).

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© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.CHU de BordeauxBordeauxFrance
  2. 2.Univ. Bordeaux, Centre de Recherche Cardio-Thoracique de BordeauxBordeauxFrance
  3. 3.INSERM U-1045, Centre de Recherche Cardio-Thoracique de BordeauxBordeauxFrance
  4. 4.Service de Médecine Nucléaire, Hôpital du Haut-LévèquePessacFrance

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