Literature DB >> 22750688

Interaction vertex imaging (IVI) for carbon ion therapy monitoring: a feasibility study.

P Henriquet1, E Testa, M Chevallier, D Dauvergne, G Dedes, N Freud, J Krimmer, J M Létang, C Ray, M-H Richard, F Sauli.   

Abstract

Proton imaging can be seen as a powerful technique for online monitoring of ion range during carbon ion therapy irradiations. Indeed, a large number of secondary protons are created during nuclear reactions, and many of these protons are likely to escape from the patient even for deep-seated tumors, carrying accurate information on the reaction vertex position. Two detection techniques have been considered: (i) double-proton detection by means of two forward-located trackers and (ii) single-proton detection in coincidence with the incoming carbon ion detected by means of a beam hodoscope. Geant4 simulations, validated by proton yield measurements performed at GANIL and GSI, show that ion-range monitoring is accessible on a pencil-beam basis with the single-proton imaging technique. Millimetric precision on the Bragg peak position is expected in the ideal case of homogeneous targets. The uncertainties in more realistic conditions should be investigated, in particular the influence of tissue heterogeneity in the very last part of the ion path (about 20 mm).

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Year:  2012        PMID: 22750688     DOI: 10.1088/0031-9155/57/14/4655

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


  9 in total

Review 1.  Monte Carlo Simulations of Particle Interactions with Tissue in Carbon Ion Therapy.

Authors:  George Dedes; Katia Parodi
Journal:  Int J Part Ther       Date:  2016-02-09

2.  Mid-range probing-towards range-guided particle therapy.

Authors:  Mingli Chen; Yuncheng Zhong; Yiping Shao; Steve Jiang; Weiguo Lu
Journal:  Phys Med Biol       Date:  2018-06-27       Impact factor: 3.609

Review 3.  Monitoring of Hadrontherapy Treatments by Means of Charged Particle Detection.

Authors:  Silvia Muraro; Giuseppe Battistoni; Francesco Collamati; Erika De Lucia; Riccardo Faccini; Fernando Ferroni; Salvatore Fiore; Paola Frallicciardi; Michela Marafini; Ilaria Mattei; Silvio Morganti; Riccardo Paramatti; Luca Piersanti; Davide Pinci; Antoni Rucinski; Andrea Russomando; Alessio Sarti; Adalberto Sciubba; Elena Solfaroli-Camillocci; Marco Toppi; Giacomo Traini; Cecilia Voena; Vincenzo Patera
Journal:  Front Oncol       Date:  2016-08-03       Impact factor: 6.244

4.  Assessment of Geant4 Prompt-Gamma Emission Yields in the Context of Proton Therapy Monitoring.

Authors:  Marco Pinto; Denis Dauvergne; Nicolas Freud; Jochen Krimmer; Jean M Létang; Etienne Testa
Journal:  Front Oncol       Date:  2016-01-28       Impact factor: 6.244

5.  A Monte Carlo feasibility study for neutron based real-time range verification in proton therapy.

Authors:  Kristian Smeland Ytre-Hauge; Kyrre Skjerdal; John Mattingly; Ilker Meric
Journal:  Sci Rep       Date:  2019-02-14       Impact factor: 4.379

6.  Investigation of Suitable Detection Angles for Carbon-Ion Radiotherapy Monitoring in Depth by Means of Secondary-Ion Tracking.

Authors:  Laura Ghesquière-Diérickx; Annika Schlechter; Renato Félix-Bautista; Tim Gehrke; Gernot Echner; Laurent Kelleter; Mária Martišíková
Journal:  Front Oncol       Date:  2021-11-29       Impact factor: 6.244

7.  Nuclear Fragmentation Imaging for Carbon-Ion Radiation Therapy Monitoring: an In Silico Study.

Authors:  Anissa Bey; Jiasen Ma; Keith M Furutani; Michael G Herman; Jedediah E Johnson; Robert L Foote; Chris J Beltran
Journal:  Int J Part Ther       Date:  2021-09-01

8.  Applications of Machine Learning to Improve the Clinical Viability of Compton Camera Based in vivo Range Verification in Proton Radiotherapy.

Authors:  Jerimy C Polf; Carlos A Barajas; Stephen W Peterson; Dennis S Mackin; Sam Beddar; Lei Ren; Matthias K Gobbert
Journal:  Front Phys       Date:  2022-04-11

Review 9.  Range Verification Methods in Particle Therapy: Underlying Physics and Monte Carlo Modeling.

Authors:  Aafke Christine Kraan
Journal:  Front Oncol       Date:  2015-07-07       Impact factor: 6.244

  9 in total

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