Literature DB >> 25832084

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

El H Bentefour1, Shikui Tang2, Ethan W Cascio2, Mauro Testa2, Deepak Samuel3, Damien Prieels1, Bernard Gottschalk4, Hsiao-Ming Lu2.   

Abstract

PURPOSE: In-vivo dosimetry and beam range verification in proton therapy could play significant role in proton treatment validation and improvements. In-vivo beam range verification, in particular, could enable new treatment techniques one of which could be the use of anterior fields for prostate treatment instead of opposed lateral fields as in current practice. This paper reports validation study of an in-vivo range verification method which can reduce the range uncertainty to submillimeter levels and potentially allow for in-vivo dosimetry.
METHODS: An anthropomorphic pelvic phantom is used to validate the clinical potential of the time-resolved dose method for range verification in the case of prostrate treatment using range modulated anterior proton beams. The method uses a 3 × 4 matrix of 1 mm diodes mounted in water balloon which are read by an ADC system at 100 kHz. The method is first validated against beam range measurements by dose extinction measurements. The validation is first completed in water phantom and then in pelvic phantom for both open field and treatment field configurations. Later, the beam range results are compared with the water equivalent path length (WEPL) values computed from the treatment planning system XIO.
RESULTS: Beam range measurements from both time-resolved dose method and the dose extinction method agree with submillimeter precision in water phantom. For the pelvic phantom, when discarding two of the diodes that show sign of significant range mixing, the two methods agree with ±1 mm. Only a dose of 7 mGy is sufficient to achieve this result. The comparison to the computed WEPL by the treatment planning system (XIO) shows that XIO underestimates the protons beam range. Quantifying the exact XIO range underestimation depends on the strategy used to evaluate the WEPL results. To our best evaluation, XIO underestimates the treatment beam range between a minimum of 1.7% and maximum of 4.1%.
CONCLUSIONS: Time-resolved dose measurement method satisfies the two basic requirements, WEPL accuracy and minimum dose, necessary for clinical use, thus, its potential for in-vivo protons range verification. Further development is needed, namely, devising a workflow that takes into account the limits imposed by proton range mixing and the susceptibility of the comparison of measured and expected WEPLs to errors on the detector positions. The methods may also be used for in-vivo dosimetry and could benefit various proton therapy treatments.

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Year:  2015        PMID: 25832084      PMCID: PMC4376764          DOI: 10.1118/1.4915923

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  20 in total

1.  Improvement of prostate treatment by anterior proton fields.

Authors:  Shikui Tang; Stefan Both; Hassan Bentefour; Jonathan J Paly; Zelig Tochner; Jason Efstathiou; Hsiao-Ming Lu
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-11-30       Impact factor: 7.038

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.  A potential method for in vivo range verification in proton therapy treatment.

Authors:  Hsiao-Ming Lu
Journal:  Phys Med Biol       Date:  2008-02-19       Impact factor: 3.609

4.  Radiological use of fast protons.

Authors:  R R WILSON
Journal:  Radiology       Date:  1946-11       Impact factor: 11.105

5.  In vivo diode dosimetry for routine quality assurance in IMRT.

Authors:  P D Higgins; P Alaei; B J Gerbi; K E Dusenbery
Journal:  Med Phys       Date:  2003-12       Impact factor: 4.071

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

Authors:  B Schaffner; E Pedroni
Journal:  Phys Med Biol       Date:  1998-06       Impact factor: 3.609

7.  Compensating for heterogeneities in proton radiation therapy.

Authors:  M Urie; M Goitein; M Wagner
Journal:  Phys Med Biol       Date:  1984-05       Impact factor: 3.609

Review 8.  Range uncertainties in proton therapy and the role of Monte Carlo simulations.

Authors:  Harald Paganetti
Journal:  Phys Med Biol       Date:  2012-05-09       Impact factor: 3.609

9.  Patient study of in vivo verification of beam delivery and range, using positron emission tomography and computed tomography imaging after proton therapy.

Authors:  Katia Parodi; Harald Paganetti; Helen A Shih; Susan Michaud; Jay S Loeffler; Thomas F DeLaney; Norbert J Liebsch; John E Munzenrider; Alan J Fischman; Antje Knopf; Thomas Bortfeld
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-07-01       Impact factor: 7.038

Review 10.  The clinical case for proton beam therapy.

Authors:  Robert L Foote; Scott L Stafford; Ivy A Petersen; Jose S Pulido; Michelle J Clarke; Steven E Schild; Yolanda I Garces; Kenneth R Olivier; Robert C Miller; Michael G Haddock; Elizabeth Yan; Nadia N Laack; Carola A S Arndt; Steven J Buskirk; Vickie L Miller; Christopher R Brent; Jon J Kruse; Gary A Ezzell; Michael G Herman; Leonard L Gunderson; Charles Erlichman; Robert B Diasio
Journal:  Radiat Oncol       Date:  2012-10-22       Impact factor: 3.481

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  4 in total

Review 1.  In vivo range verification in particle therapy.

Authors:  Katia Parodi; Jerimy C Polf
Journal:  Med Phys       Date:  2018-11       Impact factor: 4.071

2.  Using CBCT for pretreatment range check in proton therapy: a phantom study for prostate treatment by anterior-posterior beam.

Authors:  El Hassane Bentefour; Stefan Both; Shikui Tang; Hsiao-Ming Lu
Journal:  J Appl Clin Med Phys       Date:  2015-11-08       Impact factor: 2.102

3.  Time-resolved diode dosimetry calibration through Monte Carlo modeling for in vivo passive scattered proton therapy range verification.

Authors:  Allison Toltz; Michaela Hoesl; Jan Schuemann; Jan Seuntjens; Hsiao-Ming Lu; Harald Paganetti
Journal:  J Appl Clin Med Phys       Date:  2017-10-29       Impact factor: 2.102

4.  Towards real-time PGS range monitoring in proton therapy of prostate cancer.

Authors:  Paulo Magalhaes Martins; Hugo Freitas; Thomas Tessonnier; Benjamin Ackermann; Stephan Brons; Joao Seco
Journal:  Sci Rep       Date:  2021-07-28       Impact factor: 4.379

  4 in total

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