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A computational tool for the efficient analysis of dose‐volume histograms for radiation therapy treatment plans

A Histogram Analysis in Radiation Therapy (HART) program was primarily developed to increase the efficiency and accuracy of dose–volume histogram (DVH) analysis of large quantities of patient data in radiation therapy research. The program was written in MATLAB to analyze patient plans exported from...

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Autores principales: Pyakuryal, Anil, Myint, W. Kenji, Gopalakrishnan, Mahesh, Jang, Sunyoung, Logemann, Jerilyn A., Mittal, Bharat B.
Formato: Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2897015/
https://www.ncbi.nlm.nih.gov/pubmed/20160690
http://dx.doi.org/10.1120/jacmp.v11i1.3013
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author Pyakuryal, Anil
Myint, W. Kenji
Gopalakrishnan, Mahesh
Jang, Sunyoung
Logemann, Jerilyn A.
Mittal, Bharat B.
author_facet Pyakuryal, Anil
Myint, W. Kenji
Gopalakrishnan, Mahesh
Jang, Sunyoung
Logemann, Jerilyn A.
Mittal, Bharat B.
author_sort Pyakuryal, Anil
collection PubMed
description A Histogram Analysis in Radiation Therapy (HART) program was primarily developed to increase the efficiency and accuracy of dose–volume histogram (DVH) analysis of large quantities of patient data in radiation therapy research. The program was written in MATLAB to analyze patient plans exported from the treatment planning system [Formula: see text] in the American Association of Physicists in Medicine/Radiation Therapy Oncology Group (AAPM/RTOG) format. HART‐computed DVH data was validated against manually extracted data from the planning system for five head and neck cancer patients treated with the intensity‐modulated radiation therapy (IMRT) technique. HART calculated over 4000 parameters from the differential DVH (dDVH) curves for each patient in approximately 10–15 minutes. Manual extraction of this amount of data required 5 to 6 hours. The normalized root mean square deviation (NRMSD) for the HART–extracted DVH outcomes was less than 1%, or within 0.5% distance‐to‐agreement (DTA). This tool is supported with various user‐friendly options and graphical displays. Additional features include optimal polynomial modeling of DVH curves for organs, treatment plan indices (TPI) evaluation, plan‐specific outcome analysis (POA), and spatial DVH (zDVH) and dose surface histogram (DSH) analyses, respectively. HART is freely available to the radiation oncology community. PACS numbers: 87.53.‐j; 87.53.Tf; 87.53.Xd.
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spelling pubmed-28970152018-04-02 A computational tool for the efficient analysis of dose‐volume histograms for radiation therapy treatment plans Pyakuryal, Anil Myint, W. Kenji Gopalakrishnan, Mahesh Jang, Sunyoung Logemann, Jerilyn A. Mittal, Bharat B. J Appl Clin Med Phys Radiation Oncology Physics A Histogram Analysis in Radiation Therapy (HART) program was primarily developed to increase the efficiency and accuracy of dose–volume histogram (DVH) analysis of large quantities of patient data in radiation therapy research. The program was written in MATLAB to analyze patient plans exported from the treatment planning system [Formula: see text] in the American Association of Physicists in Medicine/Radiation Therapy Oncology Group (AAPM/RTOG) format. HART‐computed DVH data was validated against manually extracted data from the planning system for five head and neck cancer patients treated with the intensity‐modulated radiation therapy (IMRT) technique. HART calculated over 4000 parameters from the differential DVH (dDVH) curves for each patient in approximately 10–15 minutes. Manual extraction of this amount of data required 5 to 6 hours. The normalized root mean square deviation (NRMSD) for the HART–extracted DVH outcomes was less than 1%, or within 0.5% distance‐to‐agreement (DTA). This tool is supported with various user‐friendly options and graphical displays. Additional features include optimal polynomial modeling of DVH curves for organs, treatment plan indices (TPI) evaluation, plan‐specific outcome analysis (POA), and spatial DVH (zDVH) and dose surface histogram (DSH) analyses, respectively. HART is freely available to the radiation oncology community. PACS numbers: 87.53.‐j; 87.53.Tf; 87.53.Xd. John Wiley and Sons Inc. 2010-01-28 /pmc/articles/PMC2897015/ /pubmed/20160690 http://dx.doi.org/10.1120/jacmp.v11i1.3013 Text en © 2010 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 Radiation Oncology Physics
Pyakuryal, Anil
Myint, W. Kenji
Gopalakrishnan, Mahesh
Jang, Sunyoung
Logemann, Jerilyn A.
Mittal, Bharat B.
A computational tool for the efficient analysis of dose‐volume histograms for radiation therapy treatment plans
title A computational tool for the efficient analysis of dose‐volume histograms for radiation therapy treatment plans
title_full A computational tool for the efficient analysis of dose‐volume histograms for radiation therapy treatment plans
title_fullStr A computational tool for the efficient analysis of dose‐volume histograms for radiation therapy treatment plans
title_full_unstemmed A computational tool for the efficient analysis of dose‐volume histograms for radiation therapy treatment plans
title_short A computational tool for the efficient analysis of dose‐volume histograms for radiation therapy treatment plans
title_sort computational tool for the efficient analysis of dose‐volume histograms for radiation therapy treatment plans
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2897015/
https://www.ncbi.nlm.nih.gov/pubmed/20160690
http://dx.doi.org/10.1120/jacmp.v11i1.3013
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