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Migration check tool: automatic plan verification following treatment management systems upgrade and database migration

Software upgrades of the treatment management system (TMS) sometimes require that all data be migrated from one version of the database to another. It is necessary to verify that the data are correctly migrated to assure patient safety. It is impossible to verify by hand the thousands of parameters...

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Autores principales: Hadley, Scott W, White, Dale, Chen, Xiaoping, Moran, Jean M., Keranen, Wayne M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5714629/
https://www.ncbi.nlm.nih.gov/pubmed/24257281
http://dx.doi.org/10.1120/jacmp.v14i6.4394
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author Hadley, Scott W
White, Dale
Chen, Xiaoping
Moran, Jean M.
Keranen, Wayne M.
author_facet Hadley, Scott W
White, Dale
Chen, Xiaoping
Moran, Jean M.
Keranen, Wayne M.
author_sort Hadley, Scott W
collection PubMed
description Software upgrades of the treatment management system (TMS) sometimes require that all data be migrated from one version of the database to another. It is necessary to verify that the data are correctly migrated to assure patient safety. It is impossible to verify by hand the thousands of parameters that go into each patient's radiation therapy treatment plan. Repeating pretreatment QA is costly, time‐consuming, and may be inadequate in detecting errors that are introduced during the migration. In this work we investigate the use of an automatic Plan Comparison Tool to verify that plan data have been correctly migrated to a new version of a TMS database from an older version. We developed software to query and compare treatment plans between different versions of the TMS. The same plan in the two TMS systems are translated into an XML schema. A plan comparison module takes the two XML schemas as input and reports any differences in parameters between the two versions of the same plan by applying a schema mapping. A console application is used to query the database to obtain a list of active or in‐preparation plans to be tested. It then runs in batch mode to compare all the plans, and a report of success or failure of the comparison is saved for review. This software tool was used as part of software upgrade and database migration from Varian's Aria 8.9 to Aria 11 TMS. Parameters were compared for 358 treatment plans in 89 minutes. This direct comparison of all plan parameters in the migrated TMS against the previous TMS surpasses current QA methods that relied on repeating pretreatment QA measurements or labor‐intensive and fallible hand comparisons. PACS numbers: 87.55.T, 87.55.Qr
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spelling pubmed-57146292018-04-02 Migration check tool: automatic plan verification following treatment management systems upgrade and database migration Hadley, Scott W White, Dale Chen, Xiaoping Moran, Jean M. Keranen, Wayne M. J Appl Clin Med Phys Non‐ionizing Topics Software upgrades of the treatment management system (TMS) sometimes require that all data be migrated from one version of the database to another. It is necessary to verify that the data are correctly migrated to assure patient safety. It is impossible to verify by hand the thousands of parameters that go into each patient's radiation therapy treatment plan. Repeating pretreatment QA is costly, time‐consuming, and may be inadequate in detecting errors that are introduced during the migration. In this work we investigate the use of an automatic Plan Comparison Tool to verify that plan data have been correctly migrated to a new version of a TMS database from an older version. We developed software to query and compare treatment plans between different versions of the TMS. The same plan in the two TMS systems are translated into an XML schema. A plan comparison module takes the two XML schemas as input and reports any differences in parameters between the two versions of the same plan by applying a schema mapping. A console application is used to query the database to obtain a list of active or in‐preparation plans to be tested. It then runs in batch mode to compare all the plans, and a report of success or failure of the comparison is saved for review. This software tool was used as part of software upgrade and database migration from Varian's Aria 8.9 to Aria 11 TMS. Parameters were compared for 358 treatment plans in 89 minutes. This direct comparison of all plan parameters in the migrated TMS against the previous TMS surpasses current QA methods that relied on repeating pretreatment QA measurements or labor‐intensive and fallible hand comparisons. PACS numbers: 87.55.T, 87.55.Qr John Wiley and Sons Inc. 2013-11-04 /pmc/articles/PMC5714629/ /pubmed/24257281 http://dx.doi.org/10.1120/jacmp.v14i6.4394 Text en © 2013 The Authors. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Non‐ionizing Topics
Hadley, Scott W
White, Dale
Chen, Xiaoping
Moran, Jean M.
Keranen, Wayne M.
Migration check tool: automatic plan verification following treatment management systems upgrade and database migration
title Migration check tool: automatic plan verification following treatment management systems upgrade and database migration
title_full Migration check tool: automatic plan verification following treatment management systems upgrade and database migration
title_fullStr Migration check tool: automatic plan verification following treatment management systems upgrade and database migration
title_full_unstemmed Migration check tool: automatic plan verification following treatment management systems upgrade and database migration
title_short Migration check tool: automatic plan verification following treatment management systems upgrade and database migration
title_sort migration check tool: automatic plan verification following treatment management systems upgrade and database migration
topic Non‐ionizing Topics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5714629/
https://www.ncbi.nlm.nih.gov/pubmed/24257281
http://dx.doi.org/10.1120/jacmp.v14i6.4394
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