PMID: 15609561Dec 22, 2004

Clinical knowledge-based inverse treatment planning

Physics in Medicine and Biology
Yong Yang, Lei Xing

Abstract

Clinical IMRT treatment plans are currently made using dose-based optimization algorithms, which do not consider the nonlinear dose-volume effects for tumours and normal structures. The choice of structure specific importance factors represents an additional degree of freedom of the system and makes rigorous optimization intractable. The purpose of this work is to circumvent the two problems by developing a biologically more sensible yet clinically practical inverse planning framework. To implement this, the dose-volume status of a structure was characterized by using the effective volume in the voxel domain. A new objective function was constructed with the incorporation of the volumetric information of the system so that the figure of merit of a given IMRT plan depends not only on the dose deviation from the desired distribution but also the dose-volume status of the involved organs. The conventional importance factor of an organ was written into a product of two components: (i) a generic importance that parametrizes the relative importance of the organs in the ideal situation when the goals for all the organs are met; (ii) a dose-dependent factor that quantifies our level of clinical/dosimetric satisfaction for a given plan....Continue Reading

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Citations

Jul 23, 2011·Medical Physics·Jan RødalEirik Malinen
Feb 6, 2015·Medical Physics·Masoud ZarepishehLei Xing
Apr 9, 2014·Journal of Applied Clinical Medical Physics·Eduard Schreibmann, Tim Fox
Nov 13, 2010·Technology in Cancer Research & Treatment·Pavel LougovskiLei Xing
Aug 4, 2018·The British Journal of Radiology·Mohammad HusseinAndrew Nisbet
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Dose-Response Relationship, Radiation
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