Cargando…

Evaluation of patient DVH‐based QA metrics for prostate VMAT: correlation between accuracy of estimated 3D patient dose and magnitude of MLC misalignment

The purpose of this study was to evaluate the accuracy of commercially available software, using patient DVH‐based QA metrics, by investigating the correlation between estimated 3D patient dose and magnitude of MLC misalignments. We tested 3DVH software with an ArcCHECK. Two different calculating mo...

Descripción completa

Detalles Bibliográficos
Autores principales: Kadoya, Noriyuki, Saito, Masahide, Ogasawara, Makoto, Fujita, Yukio, Ito, Kengo, Sato, Kiyokazu, Kishi, Kazuma, Dobashi, Suguru, Takeda, Ken, Jingu, Keiichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690121/
https://www.ncbi.nlm.nih.gov/pubmed/26103486
http://dx.doi.org/10.1120/jacmp.v16i3.5251
_version_ 1783279534627356672
author Kadoya, Noriyuki
Saito, Masahide
Ogasawara, Makoto
Fujita, Yukio
Ito, Kengo
Sato, Kiyokazu
Kishi, Kazuma
Dobashi, Suguru
Takeda, Ken
Jingu, Keiichi
author_facet Kadoya, Noriyuki
Saito, Masahide
Ogasawara, Makoto
Fujita, Yukio
Ito, Kengo
Sato, Kiyokazu
Kishi, Kazuma
Dobashi, Suguru
Takeda, Ken
Jingu, Keiichi
author_sort Kadoya, Noriyuki
collection PubMed
description The purpose of this study was to evaluate the accuracy of commercially available software, using patient DVH‐based QA metrics, by investigating the correlation between estimated 3D patient dose and magnitude of MLC misalignments. We tested 3DVH software with an ArcCHECK. Two different calculating modes of ArcCHECK Planned Dose Perturbation (ACPDP) were used: “Normal Sensitivity” and “High Sensitivity”. Ten prostate cancer patients treated with hypofractionated VMAT (67.6 Gy/26 Fr) in our hospital were studied. For the baseline plan, we induced MLC errors ([Formula: see text] , and 0.75 mm for each single bank). We calculated the dose differences between the ACPDP dose with error and TPS dose with error using gamma passing rates and using DVH‐based QA metrics. The correlations between dose estimation error and MLC position error varied with each structure and metric. A comparison using [Formula: see text] gamma index showed that the larger was the MLC error‐induced, the worse were the gamma passing rates. Slopes of linear fit to dose estimation error versus MLC position error for mean dose and D95 to the PTV were 1.76 and [Formula: see text] , respectively, for “Normal Sensitivity”, and −0.53 and [Formula: see text] , respectively, for “High Sensitivity”, showing better accuracy for “High Sensitivity” than “Normal Sensitivity”. On the other hand, the slopes for mean dose to the rectum and bladder, V35 to the rectum and bladder and V55 to the rectum and bladder, were [Formula: see text] , and [Formula: see text] , respectively, for “Normal Sensitivity”, and [Formula: see text] , and [Formula: see text] , respectively, for “High Sensitivity”, showing significant better accuracy for “Normal Sensitivity” than “High Sensitivity”. Our results showed that 3DVH had some residual error for both sensitivities. Furthermore, we found that “Normal Sensitivity” might have better accuracy for the DVH metric for the PTV and that “High Sensitivity” might have better accuracy for DVH metrics for the rectum and bladder. We must be willing to tolerate this residual error in clinical care. PACS number: 87.55Qr
format Online
Article
Text
id pubmed-5690121
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-56901212018-04-02 Evaluation of patient DVH‐based QA metrics for prostate VMAT: correlation between accuracy of estimated 3D patient dose and magnitude of MLC misalignment Kadoya, Noriyuki Saito, Masahide Ogasawara, Makoto Fujita, Yukio Ito, Kengo Sato, Kiyokazu Kishi, Kazuma Dobashi, Suguru Takeda, Ken Jingu, Keiichi J Appl Clin Med Phys Radiation Oncology Physics The purpose of this study was to evaluate the accuracy of commercially available software, using patient DVH‐based QA metrics, by investigating the correlation between estimated 3D patient dose and magnitude of MLC misalignments. We tested 3DVH software with an ArcCHECK. Two different calculating modes of ArcCHECK Planned Dose Perturbation (ACPDP) were used: “Normal Sensitivity” and “High Sensitivity”. Ten prostate cancer patients treated with hypofractionated VMAT (67.6 Gy/26 Fr) in our hospital were studied. For the baseline plan, we induced MLC errors ([Formula: see text] , and 0.75 mm for each single bank). We calculated the dose differences between the ACPDP dose with error and TPS dose with error using gamma passing rates and using DVH‐based QA metrics. The correlations between dose estimation error and MLC position error varied with each structure and metric. A comparison using [Formula: see text] gamma index showed that the larger was the MLC error‐induced, the worse were the gamma passing rates. Slopes of linear fit to dose estimation error versus MLC position error for mean dose and D95 to the PTV were 1.76 and [Formula: see text] , respectively, for “Normal Sensitivity”, and −0.53 and [Formula: see text] , respectively, for “High Sensitivity”, showing better accuracy for “High Sensitivity” than “Normal Sensitivity”. On the other hand, the slopes for mean dose to the rectum and bladder, V35 to the rectum and bladder and V55 to the rectum and bladder, were [Formula: see text] , and [Formula: see text] , respectively, for “Normal Sensitivity”, and [Formula: see text] , and [Formula: see text] , respectively, for “High Sensitivity”, showing significant better accuracy for “Normal Sensitivity” than “High Sensitivity”. Our results showed that 3DVH had some residual error for both sensitivities. Furthermore, we found that “Normal Sensitivity” might have better accuracy for the DVH metric for the PTV and that “High Sensitivity” might have better accuracy for DVH metrics for the rectum and bladder. We must be willing to tolerate this residual error in clinical care. PACS number: 87.55Qr John Wiley and Sons Inc. 2015-05-08 /pmc/articles/PMC5690121/ /pubmed/26103486 http://dx.doi.org/10.1120/jacmp.v16i3.5251 Text en © 2015 The Authors. This is an open access article under the terms of the 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
Kadoya, Noriyuki
Saito, Masahide
Ogasawara, Makoto
Fujita, Yukio
Ito, Kengo
Sato, Kiyokazu
Kishi, Kazuma
Dobashi, Suguru
Takeda, Ken
Jingu, Keiichi
Evaluation of patient DVH‐based QA metrics for prostate VMAT: correlation between accuracy of estimated 3D patient dose and magnitude of MLC misalignment
title Evaluation of patient DVH‐based QA metrics for prostate VMAT: correlation between accuracy of estimated 3D patient dose and magnitude of MLC misalignment
title_full Evaluation of patient DVH‐based QA metrics for prostate VMAT: correlation between accuracy of estimated 3D patient dose and magnitude of MLC misalignment
title_fullStr Evaluation of patient DVH‐based QA metrics for prostate VMAT: correlation between accuracy of estimated 3D patient dose and magnitude of MLC misalignment
title_full_unstemmed Evaluation of patient DVH‐based QA metrics for prostate VMAT: correlation between accuracy of estimated 3D patient dose and magnitude of MLC misalignment
title_short Evaluation of patient DVH‐based QA metrics for prostate VMAT: correlation between accuracy of estimated 3D patient dose and magnitude of MLC misalignment
title_sort evaluation of patient dvh‐based qa metrics for prostate vmat: correlation between accuracy of estimated 3d patient dose and magnitude of mlc misalignment
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690121/
https://www.ncbi.nlm.nih.gov/pubmed/26103486
http://dx.doi.org/10.1120/jacmp.v16i3.5251
work_keys_str_mv AT kadoyanoriyuki evaluationofpatientdvhbasedqametricsforprostatevmatcorrelationbetweenaccuracyofestimated3dpatientdoseandmagnitudeofmlcmisalignment
AT saitomasahide evaluationofpatientdvhbasedqametricsforprostatevmatcorrelationbetweenaccuracyofestimated3dpatientdoseandmagnitudeofmlcmisalignment
AT ogasawaramakoto evaluationofpatientdvhbasedqametricsforprostatevmatcorrelationbetweenaccuracyofestimated3dpatientdoseandmagnitudeofmlcmisalignment
AT fujitayukio evaluationofpatientdvhbasedqametricsforprostatevmatcorrelationbetweenaccuracyofestimated3dpatientdoseandmagnitudeofmlcmisalignment
AT itokengo evaluationofpatientdvhbasedqametricsforprostatevmatcorrelationbetweenaccuracyofestimated3dpatientdoseandmagnitudeofmlcmisalignment
AT satokiyokazu evaluationofpatientdvhbasedqametricsforprostatevmatcorrelationbetweenaccuracyofestimated3dpatientdoseandmagnitudeofmlcmisalignment
AT kishikazuma evaluationofpatientdvhbasedqametricsforprostatevmatcorrelationbetweenaccuracyofestimated3dpatientdoseandmagnitudeofmlcmisalignment
AT dobashisuguru evaluationofpatientdvhbasedqametricsforprostatevmatcorrelationbetweenaccuracyofestimated3dpatientdoseandmagnitudeofmlcmisalignment
AT takedaken evaluationofpatientdvhbasedqametricsforprostatevmatcorrelationbetweenaccuracyofestimated3dpatientdoseandmagnitudeofmlcmisalignment
AT jingukeiichi evaluationofpatientdvhbasedqametricsforprostatevmatcorrelationbetweenaccuracyofestimated3dpatientdoseandmagnitudeofmlcmisalignment