Literature DB >> 24877800

Comparison of x ray computed tomography number to proton relative linear stopping power conversion functions using a standard phantom.

M F Moyers1.   

Abstract

PURPOSE: Adequate evaluation of the results from multi-institutional trials involving light ion beam treatments requires consideration of the planning margins applied to both targets and organs at risk. A major uncertainty that affects the size of these margins is the conversion of x ray computed tomography numbers (XCTNs) to relative linear stopping powers (RLSPs). Various facilities engaged in multi-institutional clinical trials involving proton beams have been applying significantly different margins in their patient planning. This study was performed to determine the variance in the conversion functions used at proton facilities in the U.S.A. wishing to participate in National Cancer Institute sponsored clinical trials.
METHODS: A simplified method of determining the conversion function was developed using a standard phantom containing only water and aluminum. The new method was based on the premise that all scanners have their XCTNs for air and water calibrated daily to constant values but that the XCTNs for high density/high atomic number materials are variable with different scanning conditions. The standard phantom was taken to 10 different proton facilities and scanned with the local protocols resulting in 14 derived conversion functions which were compared to the conversion functions used at the local facilities.
RESULTS: For tissues within ±300 XCTN of water, all facility functions produced converted RLSP values within ±6% of the values produced by the standard function and within 8% of the values from any other facility's function. For XCTNs corresponding to lung tissue, converted RLSP values differed by as great as ±8% from the standard and up to 16% from the values of other facilities. For XCTNs corresponding to low-density immobilization foam, the maximum to minimum values differed by as much as 40%.
CONCLUSIONS: The new method greatly simplifies determination of the conversion function, reduces ambiguity, and in the future could promote standardization between facilities. Although it was not possible from these experiments to determine which conversion function is most appropriate, the variation between facilities suggests that the margins used in some facilities to account for the uncertainty in converting XCTNs to RLSPs may be too small.

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Year:  2014        PMID: 24877800      PMCID: PMC4032432          DOI: 10.1118/1.4870956

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


  7 in total

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Authors:  U Schneider; E Pedroni; A Lomax
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2.  The use of computed tomography data for radiotherapy dose calculations.

Authors:  P K Kijewski; B E Bjärngard
Journal:  Int J Radiat Oncol Biol Phys       Date:  1978 May-Jun       Impact factor: 7.038

3.  The relation between X-ray CT numbers and charged particle stopping powers and its significance for radiotherapy treatment planning.

Authors:  A A Mustafa; D F Jackson
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4.  Comprehensive analysis of proton range uncertainties related to patient stopping-power-ratio estimation using the stoichiometric calibration.

Authors:  Ming Yang; X Ronald Zhu; Peter C Park; Uwe Titt; Radhe Mohan; Gary Virshup; James E Clayton; Lei Dong
Journal:  Phys Med Biol       Date:  2012-06-07       Impact factor: 3.609

5.  Ion stopping powers and CT numbers.

Authors:  Michael F Moyers; Milind Sardesai; Sean Sun; Daniel W Miller
Journal:  Med Dosim       Date:  2009-06-21       Impact factor: 1.482

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

Review 7.  Range uncertainties in proton therapy and the role of Monte Carlo simulations.

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  7 in total
  7 in total

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2.  Comprehensive analysis of proton range uncertainties related to stopping-power-ratio estimation using dual-energy CT imaging.

Authors:  B Li; H C Lee; X Duan; C Shen; L Zhou; X Jia; M Yang
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3.  Dosimetric evaluation of MR-derived synthetic-CTs for MR-only proton treatment planning.

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4.  Inter-centre variability of CT-based stopping-power prediction in particle therapy: Survey-based evaluation.

Authors:  Vicki T Taasti; Christian Bäumer; Christina V Dahlgren; Amanda J Deisher; Malte Ellerbrock; Jeffrey Free; Joanna Gora; Anna Kozera; Antony J Lomax; Ludovic De Marzi; Silvia Molinelli; Boon-Keng Kevin Teo; Patrick Wohlfahrt; Jørgen B B Petersen; Ludvig P Muren; David C Hansen; Christian Richter
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Review 5.  Proton Therapy for Prostate Cancer: Challenges and Opportunities.

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6.  Impact of beam-hardening corrections on proton relative stopping power estimates from single- and dual-energy CT.

Authors:  Michael S Chacko; Dee Wu; Hardev S Grewal; Jagadeesh R Sonnad
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7.  Dosimetric impact of using a commercial metal artifact reduction tool in carbon ion therapy in patients with hip prostheses.

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  7 in total

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