The long term objective of this work is to quantify uptake of high energy radionuclides such as I-131. Quantification of I-131 for internal dosimetry has gained renewed interest due to the recent success of radioimmunotherapy (RIT) in treating B-cell non-Hodgkin's lymphoma here at the University of Michigan and at other institutions. The latest data from the phase II RIT trial using I-131 labeled anti-B1 MoAb at this university shows the response rate to be 100 percent, with 71 percent of the responses being complete. We propose the use of Monte Carlo simulation for developing accurate SPECT quantification of I-131. A verified, fast, versatile Monte Carlo code suitable for simulating SPECT imaging of higher energy photon emitters is not presently available. We will carry out extensive verification tests to establish such a code which will then be applied to assess and solve significant problems in quantification such as scatter, penetration, attenuation and effects of object shape, size and background activity. We propose to build on the existing SIMIND and SKEPTIC Monte Carlo codes that are well established for low energy photons, and which have recently been expanded to include collimator scatter and penetration which is essential for accurate modeling of higher energy photons. Preliminary data comparing I-131 simulation results of SIMIND and SKEPTIC with measurements for simple geometries appear promising but their accuracy in modeling realistic imaging situations will be tested by the proposed research. The codes will also be verified for positron SPECT (511 keV photons) which is gaining interest as a low cost alternative to PET. We will improve and expand the two codes to include realistic simulation or backscatter photons, exact modeling of collimator hole shape and effects such as Doppler broadening. The more promising of the two codes will be parallelized in order to achieve significant speed-up, which is especially important when simulating tomographic acquisitions. Scatter- penetration correction is a pre-requisite for accurate quantification, and a main aspect of the present work will be Monte Carlo evaluation of scatter and collimator penetration in I-131 SPECT and assessment of compensation techniques that are based on spectral analysis. Fulfilling all aims of the proposed work will allow for accurate quantification which is necessary to predict response to therapy and for determining maximum activity to be administered. Apart from quantification, this work will have applications in the design of future imaging systems for high energy photons.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
1R01CA080927-01
Application #
2825470
Study Section
Special Emphasis Panel (ZRG1-DMG (01))
Program Officer
Liu, Guoying
Project Start
1999-04-01
Project End
2002-03-31
Budget Start
1999-04-01
Budget End
2000-03-31
Support Year
1
Fiscal Year
1999
Total Cost
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
791277940
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Dewaraja, Yuni K; Ljungberg, Michael; Majumdar, Amitava et al. (2002) A parallel Monte Carlo code for planar and SPECT imaging: implementation, verification and applications in (131)I SPECT. Comput Methods Programs Biomed 67:115-24
Ljungberg, Michael; Sjogreen, Katarina; Liu, Xiaowei et al. (2002) A 3-dimensional absorbed dose calculation method based on quantitative SPECT for radionuclide therapy: evaluation for (131)I using monte carlo simulation. J Nucl Med 43:1101-9
Dewaraja, Y K; Ljungberg, M; Koral, K F (2001) Monte Carlo evaluation of object shape effects in iodine-131 SPET tumor activity quantification. Eur J Nucl Med 28:900-6
Dewaraja, Y K; Ljungberg, M; Koral, K F (2000) Characterization of scatter and penetration using Monte Carlo simulation in 131I imaging. J Nucl Med 41:123-30
Dewaraja, Y K; Ljungberg, M; Koral, K F (2000) Accuracy of 131I tumor quantification in radioimmunotherapy using SPECT imaging with an ultra-high-energy collimator: Monte Carlo study. J Nucl Med 41:1760-7