Optimization of uncomplicated control for head and neck tumors

Ågren, Annakarin; Brahme, Anders; Turesson, Ingela

doi:10.1016/0360-3016(90)90037-k

Cited by 146 publications

(84 citation statements)

References 21 publications

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“…Comparison of effects of mean versus NTCP costlets for right parotid. Langer, 1990) or quadratic (Holmes, 1994;De Wagter, 1998;Oldham, 1995;Redpath, 1976) functions, the probability of uncomplicated control (P + ) (Kallman, 1992;Agren, 1990;Soderstrom, 1993), and other methods based on biological indices (such as TCP, NTCP, V eff ).…”

Section: Discussionmentioning

confidence: 99%

“…While the various systems may use different approaches to generate and compare candidate treatment plans, most are based on the use of a single type of mathematical model and a single search algorithm. Most of the early inverse planning systems used simple dosebased cost functions such as least-squares dose to one or more anatomic structures, and employed gradient-based search algorithms which perform well for quadratic cost functions (Bortfeld, 1999;Webb, 1989) although other more complicated functions were proposed (Agren, 1990;Bortfeld, 1988;Kallman, 1988;Mohan, 1996;Niemierko, 1992;Wang, 1995).…”

Section: Introductionmentioning

confidence: 99%

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Costlets: A Generalized Approach to Cost Functions for Automated Optimization of IMRT Treatment Plans

et al. 2005

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Abstract. We present the creation and use of a generalized cost function methodology based on costlets for automated optimization for conformal and intensity modulated radiotherapy treatment plans. In our approach, cost functions are created by combining clinically relevant "costlets". Each costlet is created by the user, using an "evaluator" of the plan or dose distribution which is incorporated into a function or "modifier" to create an individual costlet. Dose statistics, dose-volume points, biological model results, non-dosimetric parameters, and any other information can be converted into a costlet. A wide variety of different types of costlets can be used concurrently. Individual costlet changes affect not only the results for that structure, but also all the other structures in the plan (e.g., a change in a normal tissue costlet can have large effects on target volume results as well as the normal tissue). Effective cost functions can be created from combinations of dose-based costlets, dose-volume costlets, biological model costlets, and other parameters. Generalized cost functions based on costlets have been demonstrated, and show potential for allowing input of numerous clinical issues into the optimization process, thereby helping to achieve clinically useful optimized plans. In this paper, we describe and illustrate the use of the costlets in an automated planning system developed and used clinically at the University of Michigan Medical Center. We place particular emphasis on the flexibility of the system, and its ability to discover a variety of plans making various trade-offs between clinical goals of the treatment that may be difficult to meet simultaneously.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Costlets: A Generalized Approach to Cost Functions for Automated Optimization of IMRT Treatment Plans

et al. 2005

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“…This was modified by Agren et al [23] to include a correlation parameter, δ to describe the fraction of patients where tumour control and normal tissue complications are statistically independent and where multiple normal tissues can be accounted for using the following formulae:…”

Section: Utcpmentioning

confidence: 99%

RADBIOMOD: A simple program for utilising biological modelling in radiotherapy plan evaluation

et al. 2016

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After the embargo period via non-commercial hosting platforms such as their institutional repository  via commercial sites with which Elsevier has an agreement In all cases accepted manuscripts should: link to the formal publication via its DOI  bear a CC-BY-NC-ND license -this is easy to do, click here to find out how  if aggregated with other manuscripts, for example in a repository or other site, be shared in alignment with our hosting policy  not be added to or enhanced in any way to appear more like, or to substitute for, the published journal article AbstractPurpose: Radiotherapy plan evaluation is currently performed by assessing physical parameters, which has many limitations. Biological modelling can potentially allow plan evaluation that is more reflective of clinical outcomes, however further research is required into this field before it can be used clinically.Methods: A simple program, RADBIOMOD, has been developed using Visual Basic for Applications (VBA) for Microsoft Excel that incorporates multiple different biological models for radiotherapy plan evaluation, including modified Poisson tumour control probability (TCP), modified Zaider-Minerbo TCP, Lyman-Kutcher-Burman normal tissue complication probability (NTCP), equivalent uniform dose (EUD), EUD-based TCP, EUDbased NTCP, and uncomplicated tumour control probability (UTCP). RADBIOMOD was compared to existing biological modelling calculators for 15 sample cases.Results: Comparing RADBIOMOD to the existing biological modelling calculators, all models tested had mean absolute errors and root mean square errors less than 1%.Conclusions: RADBIOMOD produces results that are non-significantly different from existing biological modelling calculators for the models tested. It is hoped that this freely available, user-friendly program will aid future research into biological modelling.

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“…where P I (/D) (I denotes injury) is the mathematical expression of the response probability for a normal tissue being irradiated with a heterogeneous dose distribution,D [15,16,24,25] In this study, the length of 7 vertebrae or 20 cm was used as reference for the cervical and thoracic parts of spinal cord, respectively. The relative seriality parameter, s characterizes the internal organization of the functional subunits in the organ.…”

Section: The Relative Seriality Modelmentioning

confidence: 99%

Variation in radiation sensitivity and repair kinetics in different parts of the spinal cord

et al. 2008

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Optimization of uncomplicated control for head and neck tumors

Cited by 146 publications

References 21 publications

Costlets: A Generalized Approach to Cost Functions for Automated Optimization of IMRT Treatment Plans

Costlets: A Generalized Approach to Cost Functions for Automated Optimization of IMRT Treatment Plans

RADBIOMOD: A simple program for utilising biological modelling in radiotherapy plan evaluation

Variation in radiation sensitivity and repair kinetics in different parts of the spinal cord

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