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A Web application for the management of clinical workflow in image‐guided and adaptive proton therapy for prostate cancer treatments
Image‐guided radiotherapy (IGRT), based on radiopaque markers placed in the prostate gland, was used for proton therapy of prostate patients. Orthogonal X‐rays and the IBA Digital Image Positioning System (DIPS) were used for setup correction prior to treatment and were repeated after treatment deli...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690125/ https://www.ncbi.nlm.nih.gov/pubmed/26103504 http://dx.doi.org/10.1120/jacmp.v16i3.5503 |
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author | Yeung, Daniel Boes, Peter Ho, Meng Wei Li, Zuofeng |
author_facet | Yeung, Daniel Boes, Peter Ho, Meng Wei Li, Zuofeng |
author_sort | Yeung, Daniel |
collection | PubMed |
description | Image‐guided radiotherapy (IGRT), based on radiopaque markers placed in the prostate gland, was used for proton therapy of prostate patients. Orthogonal X‐rays and the IBA Digital Image Positioning System (DIPS) were used for setup correction prior to treatment and were repeated after treatment delivery. Following a rationale for margin estimates similar to that of van Herk,((1)) the daily post‐treatment DIPS data were analyzed to determine if an adaptive radiotherapy plan was necessary. A Web application using ASP.NET MVC5, Entity Framework, and an SQL database was designed to automate this process. The designed features included state‐of‐the‐art Web technologies, a domain model closely matching the workflow, a database‐supporting concurrency and data mining, access to the DIPS database, secured user access and roles management, and graphing and analysis tools. The Model‐View‐Controller (MVC) paradigm allowed clean domain logic, unit testing, and extensibility. Client‐side technologies, such as jQuery, jQuery Plug‐ins, and Ajax, were adopted to achieve a rich user environment and fast response. Data models included patients, staff, treatment fields and records, correction vectors, DIPS images, and association logics. Data entry, analysis, workflow logics, and notifications were implemented. The system effectively modeled the clinical workflow and IGRT process. PACS number: 87 |
format | Online Article Text |
id | pubmed-5690125 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56901252018-04-02 A Web application for the management of clinical workflow in image‐guided and adaptive proton therapy for prostate cancer treatments Yeung, Daniel Boes, Peter Ho, Meng Wei Li, Zuofeng J Appl Clin Med Phys Management and Profession Image‐guided radiotherapy (IGRT), based on radiopaque markers placed in the prostate gland, was used for proton therapy of prostate patients. Orthogonal X‐rays and the IBA Digital Image Positioning System (DIPS) were used for setup correction prior to treatment and were repeated after treatment delivery. Following a rationale for margin estimates similar to that of van Herk,((1)) the daily post‐treatment DIPS data were analyzed to determine if an adaptive radiotherapy plan was necessary. A Web application using ASP.NET MVC5, Entity Framework, and an SQL database was designed to automate this process. The designed features included state‐of‐the‐art Web technologies, a domain model closely matching the workflow, a database‐supporting concurrency and data mining, access to the DIPS database, secured user access and roles management, and graphing and analysis tools. The Model‐View‐Controller (MVC) paradigm allowed clean domain logic, unit testing, and extensibility. Client‐side technologies, such as jQuery, jQuery Plug‐ins, and Ajax, were adopted to achieve a rich user environment and fast response. Data models included patients, staff, treatment fields and records, correction vectors, DIPS images, and association logics. Data entry, analysis, workflow logics, and notifications were implemented. The system effectively modeled the clinical workflow and IGRT process. PACS number: 87 John Wiley and Sons Inc. 2015-05-08 /pmc/articles/PMC5690125/ /pubmed/26103504 http://dx.doi.org/10.1120/jacmp.v16i3.5503 Text en © 2015 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 | Management and Profession Yeung, Daniel Boes, Peter Ho, Meng Wei Li, Zuofeng A Web application for the management of clinical workflow in image‐guided and adaptive proton therapy for prostate cancer treatments |
title | A Web application for the management of clinical workflow in image‐guided and adaptive proton therapy for prostate cancer treatments |
title_full | A Web application for the management of clinical workflow in image‐guided and adaptive proton therapy for prostate cancer treatments |
title_fullStr | A Web application for the management of clinical workflow in image‐guided and adaptive proton therapy for prostate cancer treatments |
title_full_unstemmed | A Web application for the management of clinical workflow in image‐guided and adaptive proton therapy for prostate cancer treatments |
title_short | A Web application for the management of clinical workflow in image‐guided and adaptive proton therapy for prostate cancer treatments |
title_sort | web application for the management of clinical workflow in image‐guided and adaptive proton therapy for prostate cancer treatments |
topic | Management and Profession |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690125/ https://www.ncbi.nlm.nih.gov/pubmed/26103504 http://dx.doi.org/10.1120/jacmp.v16i3.5503 |
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