PMID: 8938039Nov 1, 1996Paper

A model for dose estimation in therapy of liver with intraarterial microspheres

Physics in Medicine and Biology
S F Zavgorodni

Abstract

Therapy with intraarterial microspheres is a technique which involves incorporation of radioisotope-labelled microspheres into a capillary bed of tumour and normal tissue. Betaemitters such as 90Y and 166Ho are used for this purpose. This technique provides tumour to normal tissue (TNT) dose ratios in the range of 2-10 and demonstrates significant clinical benefit, which could potentially be increased with more accurate dose predictions and delivery. However, dose calculations in this modality face the difficulties associated with nonuniform and inhomogeneous activity distribution. Most of the dose calculations used clinically do not account for the nonuniformity and assume uniform activity distribution. This paper is devoted to the development of a model which would allow more accurate prediction of dose distributions from microspheres. The model calculates dose assuming that microspheres are aggregated into randomly distributed clusters, and using precomputed dose kernels for the clusters. The dose kernel due to a microsphere cluster was found by numerical integration of a point source dose kernel over the volume of the cluster. It is shown that a random distribution of clusters produces an intercluster distance distribution ...Continue Reading

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Citations

Mar 16, 2000·Medical Physics·M A Ebert, S F Zavgorodni
Mar 17, 2010·Medical Physics·Carla C GuimarãesJosé R Martinelli
Feb 14, 2007·Journal of Vascular and Interventional Radiology : JVIR·Ihab R KamelJean-Francois H Geschwind
Dec 14, 2004·International Journal of Radiation Oncology, Biology, Physics·Andrew S KennedyCinthia Drachenberg
Dec 21, 2016·Cancer Biotherapy & Radiopharmaceuticals·Maryam Khazaee MoghadamHabib Zaidi
Jun 3, 2005·Physics in Medicine and Biology·N TsafnatS K Jones
Jun 5, 2003·Acta Ophthalmologica Scandinavica·Carmen CapeánsManuel Sánchez-Salorio
Feb 18, 2005·Physics in Medicine and Biology·Sung-Woo Lee, Warren Daniel Reece

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