Literature DB >> 24323977

TPS(PET)-A TPS-based approach for in vivo dose verification with PET in proton therapy.

K Frey1, J Bauer, D Unholtz, C Kurz, M Krämer, T Bortfeld, K Parodi.   

Abstract

Since the interest in ion-irradiation for tumour therapy has significantly increased over the last few decades, intensive investigations are performed to improve the accuracy of this form of patient treatment. One major goal is the development of methods for in vivo dose verification. In proton therapy, a PET (positron emission tomography)-based approach measuring the irradiation-induced tissue activation inside the patient has been already clinically implemented. The acquired PET images can be compared to an expectation, derived under the assumption of a correct treatment application, to validate the particle range and the lateral field position in vivo. In the context of this work, TPSPET is introduced as a new approach to predict proton-irradiation induced three-dimensional positron emitter distributions by means of the same algorithms of the clinical treatment planning system (TPS). In order to perform additional activity calculations, reaction-channel-dependent input positron emitter depth distributions are necessary, which are determined from the application of a modified filtering approach to the TPS reference depth dose profiles in water. This paper presents the implementation of TPSPET on the basis of the research treatment planning software treatment planning for particles. The results are validated in phantom and patient studies against Monte Carlo simulations, and compared to β(+)-emitter distributions obtained from a slightly modified version of the originally proposed one-dimensional filtering approach applied to three-dimensional dose distributions. In contrast to previously introduced methods, TPSPET provides a faster implementation, the results show no sensitivity to lateral field extension and the predicted β(+)-emitter densities are fully consistent to the planned treatment dose as they are calculated by the same pencil beam algorithms. These findings suggest a large potential of the application of TPSPET for in vivo dose verification in the daily clinical routine.

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Year:  2013        PMID: 24323977     DOI: 10.1088/0031-9155/59/1/1

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


  8 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.  Calculation of the Biological Efficiency of the Proton Component from 14.8 MeV Neutron Irradiation in Computational Biology with Help of Video Cards.

Authors:  K B Gordon; V O Saburov; S N Koryakin; I A Gulidov; T Kh Fatkhudinov; I V Arutyunyan; A D Kaprin; A N Solov'ev
Journal:  Bull Exp Biol Med       Date:  2022-06-23       Impact factor: 0.804

Review 3.  Latest developments in in-vivo imaging for proton therapy.

Authors:  Katia Parodi
Journal:  Br J Radiol       Date:  2019-12-12       Impact factor: 3.039

4.  Towards Achieving the Full Clinical Potential of Proton Therapy by Inclusion of LET and RBE Models.

Authors:  Bleddyn Jones
Journal:  Cancers (Basel)       Date:  2015-03-17       Impact factor: 6.639

Review 5.  Towards multidimensional radiotherapy: key challenges for treatment individualisation.

Authors:  Iuliana Toma-Dasu; Alexandru Dasu
Journal:  Comput Math Methods Med       Date:  2015-03-05       Impact factor: 2.238

6.  A Comparative Study of Two In Vivo PET Verification Methods in Clinical Cases.

Authors:  Junyu Zhang; Yan Lu; Yinxiangzi Sheng; Weiwei Wang; Zhengshan Hong; Yun Sun; Rong Zhou; Jingyi Cheng
Journal:  Front Oncol       Date:  2021-09-03       Impact factor: 6.244

7.  Measurement of nuclear reaction cross sections by using Cherenkov radiation toward high-precision proton therapy.

Authors:  Takamitsu Masuda; Jun Kataoka; Makoto Arimoto; Miho Takabe; Teiji Nishio; Keiichiro Matsushita; Tasuku Miyake; Seiichi Yamamoto; Taku Inaniwa; Toshiyuki Toshito
Journal:  Sci Rep       Date:  2018-02-07       Impact factor: 4.379

8.  Evaluation of Proton Therapy Accuracy Using a PMMA Phantom and PET Prediction Module.

Authors:  Junyu Zhang; Yan Lu; Wenchien Hsi; Jiangang Zhang; Yinxiangzi Sheng; Leijun Shi; Weiwei Wang; Jiade Lu; Rong Zhou; Jingyi Cheng
Journal:  Front Oncol       Date:  2018-11-13       Impact factor: 6.244

  8 in total

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