Lois Jones | PubMed Health

PubMed2002

A method for physically based radiotherapy optimization with intelligent tissue weight determination.

An important aspect of the intensity modulated radiotherapy (IMRT) process is that of optimizing the beam intensity profiles. Most such methods use a comparison between the defined dose distribution (including prescription dose and dose limits for critical structures) and the current distribution. The comparison may involve dose differences or dose ratios. This paper investigates four different ratio-based methods, with a hypothetical U-shaped target and cylindrical phantom as the test case. All methods are shown to give satisfactory results. There are differences in the dose distributions produced and these can be related to the formulation of the respective fluence-update methods. In common with other IMRT beam optimization methods the techniques used here include tissue-weighting factors which express the relative importance of achieving the goal dose level or limit. Altering the values of these weights can improve the ability of the optimization algorithm to adhere to the goal dose levels. Typically the weights are adjusted on a "trial and error" basis until the planner is satisfied with the results. In this paper a technique for automatic updating of the weights according to the optimization results is applied to each of the four fluence update methods. With this technique the difference between the current dose level in each tissue and the specified dose constant for that tissue is used to increase the weight should the constraint not be met. It is found that the four methods yield similar results if the weights are updated in this way.

Algorithms↗

PubMed2002

A comparison of physically and radiobiologically based optimization for IMRT.

Many optimization techniques for intensity modulated radiotherapy have now been developed. The majority of these techniques including all the commercial systems that are available are based on physical dose methods of assessment. Some techniques have also been based on radiobiological models. None of the radiobiological optimization techniques however have assessed the clinically realistic situation of considering both tumor and normal cells within the target volume. This study considers a ratio-based fluence optimizing technique to compare a dose-based optimization method described previously and two biologically based models. The biologically based methods use the values of equivalent uniform dose calculated for the tumor cells and integral biological effective dose for normal cells. The first biologically based method includes only tumor cells in the target volume while the second considers both tumor and normal cells in the target volume. All three methods achieve good conformation to the target volume. The biologically based optimization without the normal tissue in the target volume shows a high dose region in the center of the target volume while this is reduced when the normal tissues are also considered in the target volume. This effect occurs because the normal tissues in the target volume require the optimization to reduce the dose and therefore limit the maximum dose to that volume.

Algorithms↗