Literature DB >> 27403777

Sensitivity Analysis of a Physiologically Based Pharmacokinetic Model Used for Treatment Planning in Peptide Receptor Radionuclide Therapy.

Deni Hardiansyah1,2, Nusrat Jihan Begum1,3, Peter Kletting4, Felix M Mottaghy5,6, Gerhard Glatting1.   

Abstract

The aim of this work was to evaluate the sensitivity of time-integrated activity coefficients (TIACs) on the erroneously chosen prior knowledge in a physiologically based pharmacokinetic (PBPK) model used for treatment planning in peptide receptor radionuclide therapy (PRRT). Parameters of the PBPK model were fitted to the biokinetic data of 15 patients after the injection of (111)In-DTPAOC. The fittings were performed using fixed parameter values taken from literature as prior knowledge (reference case, Ref). The fixed parameters were gender, physical information (e.g., body weight), dissociation rate koff, dissociation constant KD, fraction of blood flow, and spleen and liver volumes. The fittings were repeated with changed fixed parameters (Changed). The relative deviations (RDs) of TIACs calculated from Changed and Ref were analyzed for kidneys, tumor, liver, spleen, remainder, whole body, and serum. A changed koff has the largest effect on RD, the largest RD values were found for changed koff = 0.001 L/min: RDkidneys = (3 ± 3)%, RDtumor = (0.5 ± 4)%, RDliver = (6 ± 9)%, RDspleen = (5 ± 5)%, RDremainder = (2 ± 31)%, RDserum = (-4 ± 25)%, and RDwholebody = (3 ± 16)%. For other changed parameters, the maximum RDs were <1%. The calculation of organ TIACs in PRRT using the PBPK model was little affected by assigning wrong prior knowledge to the evaluated patients. The calculation of bone marrow-absorbed doses could be affected by the inaccurate TIACs of serum and remainder in the case of an inadequate koff.

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Keywords:  peptide-receptor radionuclide therapy (PRRT); physiologically-based pharmacokinetic (PBPK) modeling; prior knowledge; time-integrated activity coefficient (TIAC)

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Year:  2016        PMID: 27403777     DOI: 10.1089/cbr.2016.2012

Source DB:  PubMed          Journal:  Cancer Biother Radiopharm        ISSN: 1084-9785            Impact factor:   3.099


  1 in total

1.  Mathematical Modeling of Preclinical Alpha-Emitter Radiopharmaceutical Therapy.

Authors:  Alireza Karimian; Nathan T Ji; Hong Song; George Sgouros
Journal:  Cancer Res       Date:  2019-11-26       Impact factor: 12.701

  1 in total

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