Javascript is not activated in your browser. This website needs javascript activated to work properly.
You are here

Development and evaluation of a pharmacokinetic model for prediction of radioimmunotherapy based on pretherapy data.

  • Mattias Nickel
  • Sven-Erik Strand
  • Ola Lindén
  • Karin Wingårdh
  • Jan Tennvall
  • Katarina Sjögreen Gleisner
Publishing year: 2009
Language: English
Pages: 111-121
Publication/Series: Cancer Biotherapy & Radiopharmaceuticals
Volume: 24
Issue: 1
Document type: Journal article
Publisher: Mary Ann Liebert, Inc.

Abstract english

The aim of this work was to develop a pharmacokinetic model for the analysis of the pharmacokinetics of (111)Inlabeled monoclonal antibodies (mAbs) in B-cell lymphoma patients and to evaluate the model's ability to predict a subsequent radioimmunotherapy by (90)Y-labeled mAbs. Data from quantified scintillation camera images and blood samples were used to fit a compartment model. The modeling included two steps: 1) a two-compartment model describing the total-body kinetics for the estimation of a set of global parameters and 2) a multicompartment model for estimating the model parameters for organs. In both steps, a correction for radiochemical impurity in the form of (111)In-DTPA (diethylene triamine pentaacetic acid) was included. The model was found to describe all patient data with good accuracy. From the model, the time-activity data of all organs could be separated into extravascular and vascular components, where the estimates of the regional vascular volumes were found to be in close agreement with literature data. A significant improvement of the model fit to total-body activity data was obtained by correcting for radiochemical impurity. The therapy kinetics area under the curves (AUCs) predicted from pretherapy data were in good agreement with the measured therapy AUCs. The good correlation between the model estimates and measured data, the accurate prediction of the therapy kinetics, and the good estimates of regional vascular volumes demonstrates the reliability of the model. These findings also indicate that the model can be useful for individual optimization of the amount of activity to be administered with respect to patient dosimetry.


  • Cancer and Oncology


  • ISSN: 1557-8852
Sven-Erik Strand
E-mail: sven-erik [dot] strand [at] med [dot] lu [dot] se

Project manager

Systemic Radiation Therapy Group


Professor emeritus

Medical Radiation Physics, Lund