Cargando…

Inter-centre variability of CT-based stopping-power prediction in particle therapy: Survey-based evaluation

BACKGROUND AND PURPOSE: Stopping-power ratios (SPRs) are used in particle therapy to calculate particle range in patients. The heuristic CT-to-SPR conversion (Hounsfield Look-Up-Table, HLUT), needed for treatment planning, depends on CT-scan and reconstruction parameters as well as the specific HLUT...

Descripción completa

Detalles Bibliográficos
Autores principales: Taasti, Vicki T., Bäumer, Christian, Dahlgren, Christina V., Deisher, Amanda J., Ellerbrock, Malte, Free, Jeffrey, Gora, Joanna, Kozera, Anna, Lomax, Antony J., De Marzi, Ludovic, Molinelli, Silvia, Kevin Teo, Boon-Keng, Wohlfahrt, Patrick, Petersen, Jørgen B.B., Muren, Ludvig P., Hansen, David C., Richter, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807627/
https://www.ncbi.nlm.nih.gov/pubmed/33458385
http://dx.doi.org/10.1016/j.phro.2018.04.006
_version_ 1783636782274838528
author Taasti, Vicki T.
Bäumer, Christian
Dahlgren, Christina V.
Deisher, Amanda J.
Ellerbrock, Malte
Free, Jeffrey
Gora, Joanna
Kozera, Anna
Lomax, Antony J.
De Marzi, Ludovic
Molinelli, Silvia
Kevin Teo, Boon-Keng
Wohlfahrt, Patrick
Petersen, Jørgen B.B.
Muren, Ludvig P.
Hansen, David C.
Richter, Christian
author_facet Taasti, Vicki T.
Bäumer, Christian
Dahlgren, Christina V.
Deisher, Amanda J.
Ellerbrock, Malte
Free, Jeffrey
Gora, Joanna
Kozera, Anna
Lomax, Antony J.
De Marzi, Ludovic
Molinelli, Silvia
Kevin Teo, Boon-Keng
Wohlfahrt, Patrick
Petersen, Jørgen B.B.
Muren, Ludvig P.
Hansen, David C.
Richter, Christian
author_sort Taasti, Vicki T.
collection PubMed
description BACKGROUND AND PURPOSE: Stopping-power ratios (SPRs) are used in particle therapy to calculate particle range in patients. The heuristic CT-to-SPR conversion (Hounsfield Look-Up-Table, HLUT), needed for treatment planning, depends on CT-scan and reconstruction parameters as well as the specific HLUT definition. To assess inter-centre differences in these parameters, we performed a survey-based qualitative evaluation, as a first step towards better standardisation of CT-based SPR derivation. MATERIALS AND METHODS: A questionnaire was sent to twelve particle therapy centres (ten from Europe and two from USA). It asked for details on CT scanners, image acquisition and reconstruction, definition of the HLUT, body-region specific HLUT selection, investigations of beam-hardening and experimental validations of the HLUT. Technological improvements were rated regarding their potential to improve SPR accuracy. RESULTS: Scan parameters and HLUT definition varied widely. Either the stoichiometric method (eight centres) or a tissue-substitute-only HLUT definition (three centres) was used. One centre combined both methods. The number of HLUT line segments varied widely between two and eleven. Nine centres had investigated influence of beam-hardening, often including patient-size dependence. Ten centres had validated their HLUT experimentally, with very different validation schemes. Most centres deemed dual-energy CT promising for improving SPR accuracy. CONCLUSIONS: Large inter-centre variability was found in implementation of CT scans, image reconstruction and especially in specification of the CT-to-SPR conversion. A future standardisation would reduce time-intensive institution-specific efforts and variations in treatment quality. Due to the interdependency of multiple parameters, no conclusion can be drawn on the derived SPR accuracy and its inter-centre variability.
format Online
Article
Text
id pubmed-7807627
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-78076272021-01-14 Inter-centre variability of CT-based stopping-power prediction in particle therapy: Survey-based evaluation Taasti, Vicki T. Bäumer, Christian Dahlgren, Christina V. Deisher, Amanda J. Ellerbrock, Malte Free, Jeffrey Gora, Joanna Kozera, Anna Lomax, Antony J. De Marzi, Ludovic Molinelli, Silvia Kevin Teo, Boon-Keng Wohlfahrt, Patrick Petersen, Jørgen B.B. Muren, Ludvig P. Hansen, David C. Richter, Christian Phys Imaging Radiat Oncol Original Research Article BACKGROUND AND PURPOSE: Stopping-power ratios (SPRs) are used in particle therapy to calculate particle range in patients. The heuristic CT-to-SPR conversion (Hounsfield Look-Up-Table, HLUT), needed for treatment planning, depends on CT-scan and reconstruction parameters as well as the specific HLUT definition. To assess inter-centre differences in these parameters, we performed a survey-based qualitative evaluation, as a first step towards better standardisation of CT-based SPR derivation. MATERIALS AND METHODS: A questionnaire was sent to twelve particle therapy centres (ten from Europe and two from USA). It asked for details on CT scanners, image acquisition and reconstruction, definition of the HLUT, body-region specific HLUT selection, investigations of beam-hardening and experimental validations of the HLUT. Technological improvements were rated regarding their potential to improve SPR accuracy. RESULTS: Scan parameters and HLUT definition varied widely. Either the stoichiometric method (eight centres) or a tissue-substitute-only HLUT definition (three centres) was used. One centre combined both methods. The number of HLUT line segments varied widely between two and eleven. Nine centres had investigated influence of beam-hardening, often including patient-size dependence. Ten centres had validated their HLUT experimentally, with very different validation schemes. Most centres deemed dual-energy CT promising for improving SPR accuracy. CONCLUSIONS: Large inter-centre variability was found in implementation of CT scans, image reconstruction and especially in specification of the CT-to-SPR conversion. A future standardisation would reduce time-intensive institution-specific efforts and variations in treatment quality. Due to the interdependency of multiple parameters, no conclusion can be drawn on the derived SPR accuracy and its inter-centre variability. Elsevier 2018-04-30 /pmc/articles/PMC7807627/ /pubmed/33458385 http://dx.doi.org/10.1016/j.phro.2018.04.006 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research Article
Taasti, Vicki T.
Bäumer, Christian
Dahlgren, Christina V.
Deisher, Amanda J.
Ellerbrock, Malte
Free, Jeffrey
Gora, Joanna
Kozera, Anna
Lomax, Antony J.
De Marzi, Ludovic
Molinelli, Silvia
Kevin Teo, Boon-Keng
Wohlfahrt, Patrick
Petersen, Jørgen B.B.
Muren, Ludvig P.
Hansen, David C.
Richter, Christian
Inter-centre variability of CT-based stopping-power prediction in particle therapy: Survey-based evaluation
title Inter-centre variability of CT-based stopping-power prediction in particle therapy: Survey-based evaluation
title_full Inter-centre variability of CT-based stopping-power prediction in particle therapy: Survey-based evaluation
title_fullStr Inter-centre variability of CT-based stopping-power prediction in particle therapy: Survey-based evaluation
title_full_unstemmed Inter-centre variability of CT-based stopping-power prediction in particle therapy: Survey-based evaluation
title_short Inter-centre variability of CT-based stopping-power prediction in particle therapy: Survey-based evaluation
title_sort inter-centre variability of ct-based stopping-power prediction in particle therapy: survey-based evaluation
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807627/
https://www.ncbi.nlm.nih.gov/pubmed/33458385
http://dx.doi.org/10.1016/j.phro.2018.04.006
work_keys_str_mv AT taastivickit intercentrevariabilityofctbasedstoppingpowerpredictioninparticletherapysurveybasedevaluation
AT baumerchristian intercentrevariabilityofctbasedstoppingpowerpredictioninparticletherapysurveybasedevaluation
AT dahlgrenchristinav intercentrevariabilityofctbasedstoppingpowerpredictioninparticletherapysurveybasedevaluation
AT deisheramandaj intercentrevariabilityofctbasedstoppingpowerpredictioninparticletherapysurveybasedevaluation
AT ellerbrockmalte intercentrevariabilityofctbasedstoppingpowerpredictioninparticletherapysurveybasedevaluation
AT freejeffrey intercentrevariabilityofctbasedstoppingpowerpredictioninparticletherapysurveybasedevaluation
AT gorajoanna intercentrevariabilityofctbasedstoppingpowerpredictioninparticletherapysurveybasedevaluation
AT kozeraanna intercentrevariabilityofctbasedstoppingpowerpredictioninparticletherapysurveybasedevaluation
AT lomaxantonyj intercentrevariabilityofctbasedstoppingpowerpredictioninparticletherapysurveybasedevaluation
AT demarziludovic intercentrevariabilityofctbasedstoppingpowerpredictioninparticletherapysurveybasedevaluation
AT molinellisilvia intercentrevariabilityofctbasedstoppingpowerpredictioninparticletherapysurveybasedevaluation
AT kevinteoboonkeng intercentrevariabilityofctbasedstoppingpowerpredictioninparticletherapysurveybasedevaluation
AT wohlfahrtpatrick intercentrevariabilityofctbasedstoppingpowerpredictioninparticletherapysurveybasedevaluation
AT petersenjørgenbb intercentrevariabilityofctbasedstoppingpowerpredictioninparticletherapysurveybasedevaluation
AT murenludvigp intercentrevariabilityofctbasedstoppingpowerpredictioninparticletherapysurveybasedevaluation
AT hansendavidc intercentrevariabilityofctbasedstoppingpowerpredictioninparticletherapysurveybasedevaluation
AT richterchristian intercentrevariabilityofctbasedstoppingpowerpredictioninparticletherapysurveybasedevaluation