Prioritized optimization in intensity modulated proton therapy

被引:11
作者
Falkinger, Marita [1 ]
Schell, Stefan [1 ]
Mueller, Johannes [2 ]
Wilkens, Jan J. [1 ]
机构
[1] Tech Univ Munich, Klinikum Rechts Isar, Klin & Poliklin Strahlentherapie & Radiol Onkol, D-81675 Munich, Germany
[2] Tech Univ Munich, Fak Math, D-85748 Garching, Germany
来源
ZEITSCHRIFT FUR MEDIZINISCHE PHYSIK | 2012年 / 22卷 / 01期
关键词
proton therapy; treatment planning; optimization; MULTICRITERIA OPTIMIZATION; IMRT; RADIOTHERAPY; BEAMS;
D O I
10.1016/j.zemedi.2011.05.004
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
100231 [临床病理学]; 100902 [航空航天医学];
摘要
In this work a prioritized optimization algorithm is adapted and applied to treatment planning for intensity modulated proton therapy (IMPT). Originally, this algorithm was developed for intensity modulated radiation therapy (IMRT) with photons. Prioritized optimization converts the clinical hierarchy of treatment goals into an effective optimization scheme for treatment planning. It presents an alternative to conventional methods that combine all optimization goals into a single optimization run with a weighted sum of all planning aims in the objective function. The highest order goal in the first step is to achieve a homogeneous dose distribution of the prescribed dose in the twnour In subsequent steps the dose to organs at risk (OARs) is minimized dependent upon their clinical priority, whereby the results of previous steps are turned into hard constraints. The large number of degrees offreedom through the additional energy modulation of protons enables a better protection of OARs under the perpetuation of the prescribed dose in the planning target volume (PTV). The solution space of subsequent optimization steps can be extended by introducing a slip factor This slip factor allows a slight deterioration of the homogeneity in the PTV compared to previous steps and entails much better results in IMRT planning. To investigate the relevance and necessity of the slip factor in IMPT, prioritized optimization with various slip factors is applied to a clinical patient case with a head and neck tumour It emerges that in IM PT the slip factor has much less impact than in IMRT through the great number of degrees offreedom. Hence, prioritized optimization is particularly well suited for proton therapy planning.
引用
收藏
页码:21 / 28
页数:8
相关论文
共 21 条
[1]
On the degeneracy of the IMRT optimization problem [J].
Alber, M ;
Meedt, G ;
Nüsslin, F ;
Reemtsen, R .
MEDICAL PHYSICS, 2002, 29 (11) :2584-2589
[2]
Alber M, 2006, RADIAT ONCOL, V1, P1
[3]
The influence of the optimization starting conditions on the robustness of intensity-modulated proton therapy plans [J].
Albertini, F. ;
Hug, E. B. ;
Lomax, A. J. .
PHYSICS IN MEDICINE AND BIOLOGY, 2010, 55 (10) :2863-2878
[4]
An analytical approximation of the Bragg curve for therapeutic proton beams [J].
Bortfeld, T .
MEDICAL PHYSICS, 1997, 24 (12) :2024-2033
[5]
A novel approach to multi-criteria inverse planning for IMRT [J].
Breedveld, Sebastiaan ;
Storchi, Pascal R. M. ;
Keijzer, Marleen ;
Heemink, Arnold W. ;
Heijmen, Ben J. M. .
PHYSICS IN MEDICINE AND BIOLOGY, 2007, 52 (20) :6339-6353
[6]
Fast, multiple optimizations of quadratic dose objective functions in IMRT [J].
Breedveld, Sebastiaan ;
Storchi, Pascal R. M. ;
Keijzer, Marleen ;
Heijmen, Ben J. M. .
PHYSICS IN MEDICINE AND BIOLOGY, 2006, 51 (14) :3569-3579
[7]
The equivalence of multi-criteria methods for radiotherapy plan optimization [J].
Breedveld, Sebastiaan ;
Storchi, Pascal R. M. ;
Heijmen, Ben J. M. .
PHYSICS IN MEDICINE AND BIOLOGY, 2009, 54 (23) :7199-7209
[8]
IMRT treatment planning for prostate cancer using prioritized prescription optimization and mean-tail-dose functions [J].
Clark, V. H. ;
Chen, Y. ;
Wilkens, J. ;
Alaly, J. R. ;
Zakaryan, K. ;
Deasy, J. O. .
LINEAR ALGEBRA AND ITS APPLICATIONS, 2008, 428 (5-6) :1345-1364
[9]
An approach for practical multiobjective IMRT treatment planning [J].
Craft, David ;
Halabi, Tarek ;
Shih, Helen A. ;
Bortfeld, Thomas .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2007, 69 (05) :1600-1607
[10]
CERR: A computational environment for radiotherapy research [J].
Deasy, JO ;
Blanco, AI ;
Clark, VH .
MEDICAL PHYSICS, 2003, 30 (05) :979-985