Literature DB >> 10522770

Optimization of the dose level for a given treatment plan to maximize the complication-free tumor cure.

B K Lind1, P Mavroidis, S Hyödynmaa, C Kappas.   

Abstract

During the past decade, tumor and normal tissue reactions after radiotherapy have been increasingly quantified in radiobiological terms. For this purpose, response models describing the dependence of tumor and normal tissue reactions on the irradiated volume, heterogeneity of the delivered dose distribution and cell sensitivity variations can be taken into account. The probability of achieving a good treatment outcome can be increased by using an objective function such as P+, the probability of complication-free tumor control. A new procedure is presented, which quantifies P+ from the dose delivery on 2D surfaces and 3D volumes and helps the user of any treatment planning system (TPS) to select the best beam orientations, the best beam modalities and the most suitable beam energies. The final step of selecting the prescribed dose level is made by a renormalization of the entire dose plan until the value of P+ is maximized. The index P+ makes use of clinically established dose-response parameters, for tumors and normal tissues of interest, in order to improve its clinical relevance. The results, using P+, are compared against the assessments of experienced medical physicists and radiation oncologists for two clinical cases. It is observed that when the absorbed dose level for a given treatment plan is increased, the treatment outcome first improves rapidly. As the dose approaches the tolerance of normal tissues the complication-free cure begins to drop. The optimal dose level is often just below this point and it depends on the geometry of each patient and target volume. Furthermore, a more conformal dose delivery to the target results in a higher control rate for the same complication level. This effect can be quantified by the increased value of the P+ parameter.

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Year:  1999        PMID: 10522770     DOI: 10.1080/028418699432950

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  15 in total

1.  A graphic user interface toolkit for specification, report and comparison of dose-response relations and treatment plans using the biologically effective uniform dose.

Authors:  Fan-Chi Su; Panayiotis Mavroidis; Chengyu Shi; Brigida Costa Ferreira; Niko Papanikolaou
Journal:  Comput Methods Programs Biomed       Date:  2010-03-24       Impact factor: 5.428

2.  Treatment planning using tailored and standard cylindrical light diffusers for photodynamic therapy of the prostate.

Authors:  Augusto Rendon; J Christopher Beck; Lothar Lilge
Journal:  Phys Med Biol       Date:  2008-02-05       Impact factor: 3.609

3.  Objective assessment of the effects of tumor motion in radiation therapy.

Authors:  Yijun Ding; Harrison H Barrett; Matthew A Kupinski; Yevgeniy Vinogradskiy; Moyed Miften; Bernard L Jones
Journal:  Med Phys       Date:  2019-06-07       Impact factor: 4.071

4.  Tradeoffs for assuming rigid target motion in Mlc-based real time target tracking radiotherapy: a dosimetric and radiobiological analysis.

Authors:  T Roland; C Shi; Y Liu; R Crownover; P Mavroidis; N Papanikolaou
Journal:  Technol Cancer Res Treat       Date:  2010-04

5.  Comparison of the helical tomotherapy against the multileaf collimator-based intensity-modulated radiotherapy and 3D conformal radiation modalities in lung cancer radiotherapy.

Authors:  P Mavroidis; C Shi; G A Plataniotis; M G Delichas; B Costa Ferreira; S Rodriguez; B K Lind; N Papanikolaou
Journal:  Br J Radiol       Date:  2010-09-21       Impact factor: 3.039

6.  Incorporating system latency associated with real-time target tracking radiotherapy in the dose prediction step.

Authors:  Teboh Roland; Panayiotis Mavroidis; Chengyu Shi; Nikos Papanikolaou
Journal:  Phys Med Biol       Date:  2010-04-19       Impact factor: 3.609

7.  The use of biologically related model (Eclipse) for the intensity-modulated radiation therapy planning of nasopharyngeal carcinomas.

Authors:  Monica W K Kan; Lucullus H T Leung; Peter K N Yu
Journal:  PLoS One       Date:  2014-11-05       Impact factor: 3.240

8.  Employing the therapeutic operating characteristic (TOC) graph for individualised dose prescription.

Authors:  Aswin L Hoffmann; Henk Huizenga; Johannes H A M Kaanders
Journal:  Radiat Oncol       Date:  2013-03-07       Impact factor: 3.481

9.  Comparing conformal, arc radiotherapy and helical tomotherapy in craniospinal irradiation planning.

Authors:  Pamela A Myers; Panayiotis Mavroidis; Nikos Papanikolaou; Sotirios Stathakis
Journal:  J Appl Clin Med Phys       Date:  2014-09-08       Impact factor: 2.102

10.  Fitting NTCP models to bladder doses and acute urinary symptoms during post-prostatectomy radiotherapy.

Authors:  Panayiotis Mavroidis; Kevin A Pearlstein; John Dooley; Jasmine Sun; Srinivas Saripalli; Shiva K Das; Andrew Z Wang; Ronald C Chen
Journal:  Radiat Oncol       Date:  2018-02-02       Impact factor: 3.481

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