Literature DB >> 9651027

The precision of proton range calculations in proton radiotherapy treatment planning: experimental verification of the relation between CT-HU and proton stopping power.

B Schaffner1, E Pedroni.   

Abstract

The precision in proton radiotherapy treatment planning depends on the accuracy of the information used to calculate the stopping power properties of the tissues in the patient's body. This information is obtained from computed tomography (CT) images using a calibration curve to convert CT Hounsfield units into relative proton stopping power values. The validity of a stoichiometric method to create the calibration curve has been verified by measuring pairs of Hounsfield units and stopping power values for animal tissue samples. It was found that the agreement between measurement and calibration curve is better than 1% if beam hardening effects in the acquisition of the CT images can be neglected. The influence of beam hardening effects on the quantitative reading of the CT measurements is discussed and an estimation for the overall range precision of proton beams is given. It is expected that the range of protons in the human body can be controlled to better than +/-1.1% of the water equivalent range in soft tissue and +/-1.8% in bone, which translates into a range precision of about 1-3 mm in typical treatment situations.

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Year:  1998        PMID: 9651027     DOI: 10.1088/0031-9155/43/6/016

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  56 in total

1.  Investigation of an implantable dosimeter for single-point water equivalent path length verification in proton therapy.

Authors:  Hsiao-Ming Lu; Greg Mann; Ethan Cascio
Journal:  Med Phys       Date:  2010-11       Impact factor: 4.071

2.  Visualization of a variety of possible dosimetric outcomes in radiation therapy using dose-volume histogram bands.

Authors:  Alexei Trofimov; Jan Unkelbach; Thomas F DeLaney; Thomas Bortfeld
Journal:  Pract Radiat Oncol       Date:  2011-09-09

3.  Proton dose calculation on scatter-corrected CBCT image: Feasibility study for adaptive proton therapy.

Authors:  Yang-Kyun Park; Gregory C Sharp; Justin Phillips; Brian A Winey
Journal:  Med Phys       Date:  2015-08       Impact factor: 4.071

4.  Reducing the sensitivity of IMPT treatment plans to setup errors and range uncertainties via probabilistic treatment planning.

Authors:  Jan Unkelbach; Thomas Bortfeld; Benjamin C Martin; Martin Soukup
Journal:  Med Phys       Date:  2009-01       Impact factor: 4.071

5.  Quality assurance evaluation of spot scanning beam proton therapy with an anthropomorphic prostate phantom.

Authors:  K Iqbal; M Gillin; P A Summers; S Dhanesar; K A Gifford; S A Buzdar
Journal:  Br J Radiol       Date:  2013-09-18       Impact factor: 3.039

6.  Validation of an in-vivo proton beam range check method in an anthropomorphic pelvic phantom using dose measurements.

Authors:  El H Bentefour; Shikui Tang; Ethan W Cascio; Mauro Testa; Deepak Samuel; Damien Prieels; Bernard Gottschalk; Hsiao-Ming Lu
Journal:  Med Phys       Date:  2015-04       Impact factor: 4.071

Review 7.  Treatment planning optimisation in proton therapy.

Authors:  S E McGowan; N G Burnet; A J Lomax
Journal:  Br J Radiol       Date:  2013-01       Impact factor: 3.039

8.  A beam-specific planning target volume (PTV) design for proton therapy to account for setup and range uncertainties.

Authors:  Peter C Park; X Ronald Zhu; Andrew K Lee; Narayan Sahoo; Adam D Melancon; Lifei Zhang; Lei Dong
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-06-22       Impact factor: 7.038

9.  Maximum proton kinetic energy and patient-generated neutron fluence considerations in proton beam arc delivery radiation therapy.

Authors:  E Sengbusch; A Pérez-Andújar; P M DeLuca; T R Mackie
Journal:  Med Phys       Date:  2009-02       Impact factor: 4.071

10.  Site-specific range uncertainties caused by dose calculation algorithms for proton therapy.

Authors:  J Schuemann; S Dowdell; C Grassberger; C H Min; H Paganetti
Journal:  Phys Med Biol       Date:  2014-07-03       Impact factor: 3.609

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