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...
Autores principales: | , , , , , , , , , , , , , , , , |
---|---|
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 |