Literature DB >> 20382482

Application of constant vs. variable relative biological effectiveness in treatment planning of intensity-modulated proton therapy.

Malte C Frese1, Jan J Wilkens, Peter E Huber, Alexandra D Jensen, Uwe Oelfke, Zahra Taheri-Kadkhoda.   

Abstract

PURPOSE: To investigate in a simulation study whether using a variable relative biological effectiveness (RBE) in calculation and optimization of intensity-modulated proton therapy (IMPT) instead of using an RBE of 1.1 would result in significant changes in the RBE-weighted dose (RWD) distributions. METHODS AND MATERIALS: For 4 patients with head-and-neck tumors, three IMPT plans were prepared respectively. The first plan was physically optimized (IMPT-PO plan), and the RWD was calculated with a constant RBE of 1.1. Then the plan's RWD was recalculated (IMPT-R plan) using a variable RBE model taking into account the linear energy transfer (LET) and tissue-specific radiobiological parameters. The third IMPT plan was optimized using a biological optimization routine (IMPT-BO plan).
RESULTS: Comparing the IMPT-PO and IMPT-R plans, we observed that the RWD in radioresistant tissues was more sensitive to the LET than in radiosensitive tissues. The IMPT-R plans were in general more inhomogeneous than the IMPT-PO plans. The differences of RWD distributions for all volumes between IMPT-PO and IMPT-BO plans complied with predefined dose-volume constraints. The average LET was significantly lower in IMPT-BO plans than in IMPT-R plans.
CONCLUSION: In radioresistant normal tissues caution has to be used regarding the LET distribution because these are most sensitive to changes in the LET. Biological optimization of IMPT plans based on the organ-specific biological parameters and LET distributions is feasible.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20382482     DOI: 10.1016/j.ijrobp.2009.10.022

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  23 in total

1.  Analysis of the track- and dose-averaged LET and LET spectra in proton therapy using the geant4 Monte Carlo code.

Authors:  Fada Guan; Christopher Peeler; Lawrence Bronk; Changran Geng; Reza Taleei; Sharmalee Randeniya; Shuaiping Ge; Dragan Mirkovic; David Grosshans; Radhe Mohan; Uwe Titt
Journal:  Med Phys       Date:  2015-11       Impact factor: 4.071

Review 2.  Robust Proton Treatment Planning: Physical and Biological Optimization.

Authors:  Jan Unkelbach; Harald Paganetti
Journal:  Semin Radiat Oncol       Date:  2018-04       Impact factor: 5.934

3.  "Broadbeam" irradiation of mammalian cells using a vertical microbeam facility.

Authors:  J C G Jeynes; M J Merchant; L Barazzuol; M Barry; D Guest; V V Palitsin; G W Grime; I D C Tullis; P R Barber; B Vojnovic; K J Kirkby
Journal:  Radiat Environ Biophys       Date:  2013-08-21       Impact factor: 1.925

4.  Linear energy transfer incorporated intensity modulated proton therapy optimization.

Authors:  Wenhua Cao; Azin Khabazian; Pablo P Yepes; Gino Lim; Falk Poenisch; David R Grosshans; Radhe Mohan
Journal:  Phys Med Biol       Date:  2017-12-19       Impact factor: 3.609

5.  A new formalism for modelling parameters α and β of the linear-quadratic model of cell survival for hadron therapy.

Authors:  Oleg N Vassiliev; David R Grosshans; Radhe Mohan
Journal:  Phys Med Biol       Date:  2017-10-03       Impact factor: 3.609

6.  New strategies in radiation therapy: exploiting the full potential of protons.

Authors:  Radhe Mohan; Anita Mahajan; Bruce D Minsky
Journal:  Clin Cancer Res       Date:  2013-09-27       Impact factor: 12.531

7.  Variations in linear energy transfer within clinical proton therapy fields and the potential for biological treatment planning.

Authors:  Clemens Grassberger; Alexei Trofimov; Anthony Lomax; Harald Paganetti
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-12-14       Impact factor: 7.038

8.  Reoptimization of Intensity Modulated Proton Therapy Plans Based on Linear Energy Transfer.

Authors:  Jan Unkelbach; Pablo Botas; Drosoula Giantsoudi; Bram L Gorissen; Harald Paganetti
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-09-01       Impact factor: 7.038

Review 9.  Charged particle therapy--optimization, challenges and future directions.

Authors:  Jay S Loeffler; Marco Durante
Journal:  Nat Rev Clin Oncol       Date:  2013-05-21       Impact factor: 66.675

10.  Relative biological effectiveness of the 60-MeV therapeutic proton beam at the Institute of Nuclear Physics (IFJ PAN) in Kraków, Poland.

Authors:  Dorota Słonina; Beata Biesaga; Jan Swakoń; Damian Kabat; Leszek Grzanka; Marta Ptaszkiewicz; Urszula Sowa
Journal:  Radiat Environ Biophys       Date:  2014-07-19       Impact factor: 1.925

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