EANM practical guidance on uncertainty analysis for molecular radiotherapy absorbed dose calculations.

A framework is proposed for modelling the uncertainty in the measurement processes constituting the dosimetry chain that are involved in internal absorbed dose calculations. The starting point is the basic model for absorbed dose in a site of interest as the product of the cumulated activity and a d...

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Publicado en:European Journal of Nuclear Medicine & Molecular Imaging Vol. 45; no. 13; pp. 2456 - 2475
Autores principales: Gear, Jonathan I., Murray, Iain, Flux, Glenn D., Cox, Maurice G., Gustafsson, Johan, Gleisner, Katarina Sjögreen, Glatting, Gerhard, Konijnenberg, Mark
Formato: Journal Article
Publicado: Springer Nature Dec2018
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00259-018-4136-7
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        atl: EANM practical guidance on uncertainty analysis for molecular radiotherapy absorbed dose calculations.
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          Gear, Jonathan I.
          Murray, Iain
          Flux, Glenn D.
          Cox, Maurice G.
          Gustafsson, Johan
          Gleisner, Katarina Sjögreen
          Glatting, Gerhard
          Konijnenberg, Mark
        affil: The Royal Marsden NHS Foundation Trust & Institute of Cancer Research, Downs Road, SM2 5PT, Sutton, UK
      sug:
      ab: A framework is proposed for modelling the uncertainty in the measurement processes constituting the dosimetry chain that are involved in internal absorbed dose calculations. The starting point is the basic model for absorbed dose in a site of interest as the product of the cumulated activity and a dose factor. In turn, the cumulated activity is given by the area under a time-activity curve derived from a time sequence of activity values. Each activity value is obtained in terms of a count rate, a calibration factor and a recovery coefficient (a correction for partial volume effects). The method to determine the recovery coefficient and the dose factor, both of which are dependent on the size of the volume of interest (VOI), are described. Consideration is given to propagating estimates of the quantities concerned and their associated uncertainties through the dosimetry chain to obtain an estimate of mean absorbed dose in the VOI and its associated uncertainty. This approach is demonstrated in a clinical example.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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