Localized beta dosimetry of 131 I ‐labeled antibodies in follicular lymphoma
- 1 January 1992
- journal article
- Published by Wiley in Medical Physics
- Vol. 19 (1) , 97-104
- https://doi.org/10.1118/1.596932
Abstract
The purpose of this study is to assess the multicellular dosimetry of 131I-labeled antibody in follicular lymphoma based on histological measurements on human tumor biopsy tissue. Photomicrographs of lymph node specimens were analyzed by first-order treatment to determine the mean values and statistical variations of the radii of follicles (260 +/- 90 microns), interfollicular distances (740 +/- 160 microns), and the number density of follicles [60 +/- 18 in a volume of (2 X 1480 microns)3]. Based on these measurements, two geometrical models were developed for localized beta dosimetry. The first, a regular cubic lattice model, assumes no variation in follicular radius of follicles and interfollicular distance. The second, a randomized distribution model, is a more complicated but more realistic representation of observed histological specimens. In this model, Monte Carlo methods were used to reconstruct the spatial distribution of follicles by simulating the distribution of the radii of follicles, interfollicular distances, and the number density of follicles. Dose calculations were performed using Berger's point kernels for absorbed-dose distribution for beta particles in water, assuming the 131I-labeled antibodies as point sources. It was assumed that the activity concentration of the labeled antibody within the follicles was ten times the activity concentration in the interfollicular spaces. The spatial distribution of localized dose was calculated for a tumor having an average dose of 40 Gy. The localized dose was found to be highly nonuniform, ranging from 20 to 90 Gy, and varying by a factor of about 2 from the average tumor dose.(ABSTRACT TRUNCATED AT 250 WORDS)Keywords
Funding Information
- National Institutes of Health (CA44991)
- National Cancer Institute (CA44991)
- Fred Hutchinson Cancer Research Center
- U.S. Department of Energy (DE‐AM06‐76RLO 2225, DE‐AC06‐76RLO 1830)
- Washington State University
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