Reconstructed and Real Proton Radiographs for Image-Guidance in Proton Beam Therapy.


Journal

Journal of radiation oncology
ISSN: 1948-7894
Titre abrégé: J Radiat Oncol
Pays: Germany
ID NLM: 101590774

Informations de publication

Date de publication:
Mar 2019
Historique:
entrez: 12 10 2020
pubmed: 1 3 2019
medline: 1 3 2019
Statut: ppublish

Résumé

One of the major challenges to proton beam therapy at this time is the uncertainty of the true range of a clinical treatment proton beam as it traverses the various tissues and organs in a human body. This uncertainty necessitates the addition of greater "margins" to the planning target volume along the direction of the beam to ensure safety and tumor target coverage. Proton radiography holds promise as both an image-guidance method for proton beam therapy and as a means of estimating particle beam range in the clinic. In this brief report, we present some of the first real and reconstructed proton radiographs using our particular system. Our qualitative review of these images indicates that this method has excellent potential as a proton radiography-based image guidance system. Based on the encouraging results of our preliminary work, more rigorous and quantitative analyses will be performed shortly and we shall continue to explore the potential of this approach for addressing the particle beam range uncertainty issue.

Identifiants

pubmed: 33042477
doi: 10.1007/s13566-019-00376-0
pmc: PMC7544004
mid: NIHMS1525079
doi:

Types de publication

Journal Article

Langues

eng

Pagination

97-101

Subventions

Organisme : NCI NIH HHS
ID : R44 CA203499
Pays : United States

Déclaration de conflit d'intérêts

Conflict of Interest Don F. DeJongh and Victor Rykalin are co-founders of ProtonVDA, Inc., Naperville, IL, 60563, USA and Ethan A. DeJongh, is an employee of ProtonVDA, Inc. None of the other authors have relevant potential conflicts of interest. James Welsh has served in the past as an advisor to ProTom International.

Références

Phys Med Biol. 2012 Jul 7;57(13):4095-115
pubmed: 22678123

Auteurs

Chelsea Miller (C)

Loyola University Stritch School of Medicine, Department of Radiation Oncology, Maywood, IL 60153, USA.

Basel Altoos (B)

Loyola University Stritch School of Medicine, Department of Radiation Oncology, Maywood, IL 60153, USA.

Ethan A DeJongh (EA)

ProtonVDA, Inc., Naperville, IL, 60563, USA.

Mark Pankuch (M)

Northwestern Medicine Chicago Proton Center, Warrenville, IL, 60555, USA.

Don F DeJongh (DF)

ProtonVDA, Inc., Naperville, IL, 60563, USA.

Victor Rykalin (V)

ProtonVDA, Inc., Naperville, IL, 60563, USA.

Caesar E Ordoñez (CE)

Northern Illinois University, Center for Research Computing and Data, DeKalb, IL, 60115, USA.

Nicholas T Karonis (NT)

Northern Illinois University, Computer Science Department, DeKalb, IL, 60115, USA.
Argonne National Laboratory, Data Science and Learning Division, Argonne, IL, 60439, USA.

John R Winans (JR)

Northern Illinois University, Center for Research Computing and Data, DeKalb, IL, 60115, USA.

George Coutrakon (G)

Northern Illinois University, Physics Department, DeKalb, IL, 60115, USA.

James S Welsh (JS)

Loyola University Stritch School of Medicine, Department of Radiation Oncology, Maywood, IL 60153, USA.
Edward Hines Jr VA Medical Center, Radiation Oncology Service, Hines, IL, 60141, USA.

Classifications MeSH