Investigation of Simulation Accuracy of
Simbiology/Matlab for Area Under the Curve
Calculation in Peptide Receptor
Radionuclide Therapy
Deni Hardiansyah1, Rizal Maulana2, Adita Sutresno2,
Jaja M.Jabar2, Freddy Haryanto2, Gerhard Glatting1
Overview
• Motivation
• Aim
• Materials and Methods
• Results
• Discussion
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M.Sc. Deni Hardiansyah Slide 5 I 20/10/2014 PRRT
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Materials and Methods (3)
AUC Deviation
• AUC Deviation is calculated to determine the difference of AUC
between SAAM and Simbiology/Matlab.
• the following parameters were varied and the AUCs simulated: the
percentage of labeled to unlabeled peptide (1 %, 5 % and 10 %) and administration type (bolus and 30 min of infusion).
• Reliability test: AUCs calculated for 100 min with simulation time of
8000 min and of 100 min
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Result (1)
Result (2)
Organ
AUC Deviation (%)
Patient 1 Patient 2 Patient 3 Patient 4 Mean SD
Kidney 1.0 1.4 -2.7 1.1 0.2 1.9
Tumor 14.4 16.4 17.4 2.0 12.6 7.1
Spleen 2.2 4.5 3.4 3.8 3.5 0.9
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Results (3)
• The model implementation was validated with AUC Deviation lower
than 4 % for kidney, spleen, liver and remainder of body.
• For tumor AUCs the deviation was not in all cases lower than 5 %!
• The reliability test for Simbiology/MATLAB showed that the first 100
min of time course led to 1 % error of AUC in the tumor.
Discussion
• In most clinical study of radiotherapy, 5 % error is commonly used as
error limit of an acceptable accuracy of dosimetry.
• For our PBPK model, care must be taken when using
Simbiology/Matlab, as for tumor AUCs the error was not in all cases lower than 5 %.
• Some investigation has done for different computational setting:
 Algorithms: “ode45”, “ode15”, and “sundial”
 Step size: 20.000 to 40.000
 Tolerances: 1e-4 to 1e-8
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References:
• 1. Kletting, P., et al., Differences in predicted and actually absorbed doses in peptide receptor radionuclide therapy. Med Phys, 2012. 39(9): p. 5708-17.
• 2. Barrett, P.H., et al., SAAM II: Simulation, Analysis, and Modeling Software for tracer and pharmacokinetic studies. Metabolism, 1998. 47(4): p. 484-92.
• 3. Boston, R.C., P.C. Greif, and M. Berman, Conversational SAAM--an interactive program for kinetic analysis of biological systems. Comput Programs Biomed, 1981. 13(1-2): p. 111-9.
• 4. Cobelli, C. and D.M. Foster, Compartmental models: theory and practice using the SAAM II software system. Adv Exp Med Biol, 1998. 445: p. 79-101.