Literature DB >> 26378805

Monte Carlo comparison of x-ray and proton CT for range calculations of proton therapy beams.

N Arbor1, D Dauvergne, G Dedes, J M Létang, K Parodi, C T Quiñones, E Testa, S Rit.   

Abstract

Proton computed tomography (CT) has been described as a solution for imaging the proton stopping power of patient tissues, therefore reducing the uncertainty of the conversion of x-ray CT images to relative stopping power (RSP) maps and its associated margins. This study aimed to investigate this assertion under the assumption of ideal detection systems. We have developed a Monte Carlo framework to assess proton CT performances for the main steps of a proton therapy treatment planning, i.e. proton or x-ray CT imaging, conversion to RSP maps based on the calibration of a tissue phantom, and proton dose simulations. Irradiations of a computational phantom with pencil beams were simulated on various anatomical sites and the proton range was assessed on the reference, the proton CT-based and the x-ray CT-based material maps. Errors on the tissue's RSP reconstructed from proton CT were found to be significantly smaller and less dependent on the tissue distribution. The imaging dose was also found to be much more uniform and conformal to the primary beam. The mean absolute deviation for range calculations based on x-ray CT varies from 0.18 to 2.01 mm depending on the localization, while it is smaller than 0.1 mm for proton CT. Under the assumption of a perfect detection system, proton range predictions based on proton CT are therefore both more accurate and more uniform than those based on x-ray CT.

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Year:  2015        PMID: 26378805     DOI: 10.1088/0031-9155/60/19/7585

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


  6 in total

1.  Theoretical and experimental analysis of photon counting detector CT for proton stopping power prediction.

Authors:  Vicki T Taasti; David C Hansen; Gregory J Michalak; Amanda J Deisher; Jon J Kruse; Ludvig P Muren; Jørgen B B Petersen; Cynthia H McCollough
Journal:  Med Phys       Date:  2018-10-01       Impact factor: 4.071

Review 2.  Monte Carlo methods for device simulations in radiation therapy.

Authors:  Hyojun Park; Harald Paganetti; Jan Schuemann; Xun Jia; Chul Hee Min
Journal:  Phys Med Biol       Date:  2021-09-14       Impact factor: 4.174

Review 3.  Proton beam therapy for cancer in the era of precision medicine.

Authors:  Man Hu; Liyang Jiang; Xiangli Cui; Jianguang Zhang; Jinming Yu
Journal:  J Hematol Oncol       Date:  2018-12-12       Impact factor: 17.388

4.  An inhomogeneous most likely path formalism for proton computed tomography.

Authors:  Mark D Brooke; Scott N Penfold
Journal:  Phys Med       Date:  2020-02-07       Impact factor: 2.685

5.  Deriving the mean excitation energy map from dual-energy and proton computed tomography.

Authors:  Gloria Vilches-Freixas; Catherine Therese Quiñones; Jean Michel Létang; Simon Rit
Journal:  Phys Imaging Radiat Oncol       Date:  2018-04-26

6.  Effects of the Bragg peak degradation due to lung tissue in proton therapy of lung cancer patients.

Authors:  Kilian-Simon Baumann; Veronika Flatten; Uli Weber; Stefan Lautenschläger; Fabian Eberle; Klemens Zink; Rita Engenhart-Cabillic
Journal:  Radiat Oncol       Date:  2019-10-25       Impact factor: 3.481

  6 in total

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