Literature DB >> 28273345

Feasibility study of using fall-off gradients of early and late PET scans for proton range verification.

Jongmin Cho1, Kira Grogg2, Chul Hee Min3, Xuping Zhu2, Harald Paganetti4, Hyun Cheol Lee3, Georges El Fakhri2.   

Abstract

PURPOSE: While positron emission tomography (PET) allows for the imaging of tissues activated by proton beams in terms of monitoring the therapy administered, most endogenous tissue elements are activated by relatively high-energy protons. Therefore, a relatively large distance off-set exists between the dose fall-off and activity fall-off. However, 16 O(p,2p,2n)13 N has a relatively low energy threshold which peaks around 12 MeV and also a residual proton range that is approximately 1 to 2 mm. In this phantom study, we tested the feasibility of utilizing the 13 N production peak as well as the differences in activity fall-off between early and late PET scans for proton range verification. One of the main purposes for this research was developing a proton range verification methodology that would not require Monte Carlo simulations. METHODS AND MATERIALS: Both monoenergetic and spread-out Bragg peak beams were delivered to two phantoms - a water-like gel and a tissue-like gel where the proton ranges came to be approximately 9.9 and 9.1 cm, respectively. After 1 min of postirradiation delay, the phantoms were scanned for a period of 30 min using an in-room PET. Two separate (Early and Late) PET images were reconstructed using two different postirradiation delays and acquisition times; Early PET: 1 min delay and 3 min acquisition, Late PET: 21 min delay and 10 min acquisition. The depth gradients of the PET signals were then normalized and plotted as functions of depth. The normalized gradient of the early PET images was subtracted from that of the late PET images, to observe the 13 N activity distribution in relation to depth. Monte Carlo simulations were also conducted with the same set-up as the measurements stated previously.
RESULTS: The subtracted gradients show peaks at 9.4 and 8.6 cm in water-gel and tissue-gel respectively for both pristine and SOBP beams. These peaks are created in connection with the sudden change of 13 N signals with depth and consistently occur 2 mm upstream to where 13 N signals were most abundantly created (9.6 and 8.8 cm in water-gel and tissue-gel, respectively). Monte Carlo simulations provided similar results as the measurements.
CONCLUSIONS: The subtracted PET signal gradient peaks and the proton ranges for water-gel and tissue-gel show distance off-sets of 4 to 5 mm. This off-set may potentially be used for proton range verification using only the PET measured data without Monte Carlo simulations. More studies are necessary to overcome various limitations, such as perfusion-driven washout, for the feasibility of this technique in living patients.
© 2017 American Association of Physicists in Medicine.

Entities:  

Keywords:  13N; Monte Carlo simulation; positron emission tomography (PET); proton range verification; proton therapy; radioactive decay; tissue composition

Mesh:

Substances:

Year:  2017        PMID: 28273345      PMCID: PMC5462437          DOI: 10.1002/mp.12191

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


  27 in total

1.  Direct time-of-flight for quantitative, real-time in-beam PET: a concept and feasibility study.

Authors:  Paulo Crespo; Georgy Shakirin; Fine Fiedler; Wolfgang Enghardt; Andreas Wagner
Journal:  Phys Med Biol       Date:  2007-11-06       Impact factor: 3.609

2.  Clinical CT-based calculations of dose and positron emitter distributions in proton therapy using the FLUKA Monte Carlo code.

Authors:  K Parodi; A Ferrari; F Sommerer; H Paganetti
Journal:  Phys Med Biol       Date:  2007-05-17       Impact factor: 3.609

3.  Implementation and workflow for PET monitoring of therapeutic ion irradiation: a comparison of in-beam, in-room, and off-line techniques.

Authors:  Georgy Shakirin; Henning Braess; Fine Fiedler; Daniela Kunath; Kristin Laube; Katia Parodi; Marlen Priegnitz; Wolfgang Enghardt
Journal:  Phys Med Biol       Date:  2011-02-01       Impact factor: 3.609

4.  Radionuclide production and partial radiochemical characterization following fast neutron irradiation of mouse spleens.

Authors:  D E Mellenberg; R S Tilbury; K R Hogstrom
Journal:  Int J Rad Appl Instrum B       Date:  1988

5.  Monitoring proton radiation therapy with in-room PET imaging.

Authors:  Xuping Zhu; Samuel España; Juliane Daartz; Norbert Liebsch; Jinsong Ouyang; Harald Paganetti; Thomas R Bortfeld; Georges El Fakhri
Journal:  Phys Med Biol       Date:  2011-06-15       Impact factor: 3.609

6.  The reliability of proton-nuclear interaction cross-section data to predict proton-induced PET images in proton therapy.

Authors:  S España; X Zhu; J Daartz; G El Fakhri; T Bortfeld; H Paganetti
Journal:  Phys Med Biol       Date:  2011-04-05       Impact factor: 3.609

7.  A Recommendation on How to Analyze In-Room PET for In Vivo Proton Range Verification Using a Distal PET Surface Method.

Authors:  Chul Hee Min; Xuping Zhu; Kira Grogg; Georges El Fakhri; Brian Winey; Harald Paganetti
Journal:  Technol Cancer Res Treat       Date:  2014-09-21

8.  Washout measurement of radioisotope implanted by radioactive beams in the rabbit.

Authors:  H Mizuno; T Tomitani; M Kanazawa; A Kitagawa; J Pawelke; Y Iseki; E Urakabe; M Suda; A Kawano; R Iritani; S Matsushita; T Inaniwa; T Nishio; S Furukawa; K Ando; Y K Nakamura; T Kanai; K Ishii
Journal:  Phys Med Biol       Date:  2003-08-07       Impact factor: 3.609

Review 9.  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

10.  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

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  4 in total

1.  Proton range monitoring using 13N peak for proton therapy applications.

Authors:  M Rafiqul Islam; Mehrdad Shahmohammadi Beni; Chor-Yi Ng; Masayasu Miyake; Mahabubur Rahman; Shigeki Ito; Shinichi Gotoh; Taiga Yamaya; Hiroshi Watabe
Journal:  PLoS One       Date:  2022-02-15       Impact factor: 3.240

2.  In vivo production of fluorine-18 in a chicken egg tumor model of breast cancer for proton therapy range verification.

Authors:  Samuel España; Daniel Sánchez-Parcerisa; Paloma Bragado; Álvaro Gutiérrez-Uzquiza; Almudena Porras; Carolina Gutiérrez-Neira; Andrea Espinosa; Víctor V Onecha; Paula Ibáñez; Víctor Sánchez-Tembleque; José M Udías; Luis M Fraile
Journal:  Sci Rep       Date:  2022-04-30       Impact factor: 4.996

3.  Development of PHITS graphical user interface for simulation of positron emitting radioisotopes production in common biological materials during proton therapy.

Authors:  Mehrdad Shahmohammadi Beni; Kwan Ngok Yu; M Rafiqul Islam; Hiroshi Watabe
Journal:  J Radiat Res       Date:  2022-05-18       Impact factor: 2.724

4.  A Feasibility Study on Proton Range Monitoring Using 13N Peak in Inhomogeneous Targets.

Authors:  Md Rafiqul Islam; Mehrdad Shahmohammadi Beni; Akihito Inamura; Nursel Şafakattı; Masayasu Miyake; Mahabubur Rahman; Abul Kalam Fazlul Haque; Shigeki Ito; Shinichi Gotoh; Taiga Yamaya; Hiroshi Watabe
Journal:  Tomography       Date:  2022-09-15
  4 in total

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