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Variations Between Dose-Ventilation and Dose-Perfusion Metrics in Radiation Therapy Planning for Lung Cancer

PURPOSE: Currently, several active clinical trials of functional lung avoidance radiation therapy using different imaging modalities for ventilation or perfusion are underway. Patients with lung cancer often show ventilation-perfusion mismatch, whereas the significance of dose-function metric remain...

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Autores principales: Nakajima, Yujiro, Kadoya, Noriyuki, Kimura, Tomoki, Hioki, Kazunari, Jingu, Keiichi, Yamamoto, Tokihiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280081/
https://www.ncbi.nlm.nih.gov/pubmed/32529141
http://dx.doi.org/10.1016/j.adro.2020.03.002
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author Nakajima, Yujiro
Kadoya, Noriyuki
Kimura, Tomoki
Hioki, Kazunari
Jingu, Keiichi
Yamamoto, Tokihiro
author_facet Nakajima, Yujiro
Kadoya, Noriyuki
Kimura, Tomoki
Hioki, Kazunari
Jingu, Keiichi
Yamamoto, Tokihiro
author_sort Nakajima, Yujiro
collection PubMed
description PURPOSE: Currently, several active clinical trials of functional lung avoidance radiation therapy using different imaging modalities for ventilation or perfusion are underway. Patients with lung cancer often show ventilation-perfusion mismatch, whereas the significance of dose-function metric remains unclear. The aim of the present study was to compare dose-ventilation metrics with dose-perfusion metrics for radiation therapy plan evaluation. METHODS AND MATERIALS: Pretreatment 4-dimensional computed tomography and (99m)Tc-macroaggregated albumin single-photon emission computed tomography perfusion images of 60 patients with lung cancer treated with radiation therapy were analyzed. Ventilation images were created using the deformable image registration of 4-dimensional computed tomography image sets and image analysis for regional volume changes as a surrogate for ventilation. Ventilation and perfusion images were converted into percentile distribution images. Analyses included Pearson’s correlation coefficient and comparison of agreements between the following dose-ventilation and dose-perfusion metrics: functional mean lung dose and functional percent lung function receiving 5, 10, 20, 30, and 40 Gy (fV(5), fV(10), fV(20), fV(30), and fV(40), respectively). RESULTS: Overall, the dose-ventilation metrics were greater than the dose-perfusion metrics (ie, fV(20), 26.3% ± 9.9% vs 23.9% ± 9.8%). Correlations between the dose-ventilation and dose-perfusion metrics were strong (range, r = 0.94-0.97), whereas the agreements widely varied among patients, with differences as large as 6.6 Gy for functional mean lung dose and 11.1% for fV(20). Paired t test indicated that the dose-ventilation and dose-perfusion metrics were significantly different. CONCLUSIONS: Strong correlations were present between the dose-ventilation and dose-perfusion metrics. However, the agreement between the dose-ventilation and dose-perfusion metrics widely varied among patients, suggesting that ventilation-based radiation therapy plan evaluation may not be comparable to that based on perfusion. Future studies should elucidate the correlation of dose-function metrics with clinical pulmonary toxicity metrics.
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spelling pubmed-72800812020-06-10 Variations Between Dose-Ventilation and Dose-Perfusion Metrics in Radiation Therapy Planning for Lung Cancer Nakajima, Yujiro Kadoya, Noriyuki Kimura, Tomoki Hioki, Kazunari Jingu, Keiichi Yamamoto, Tokihiro Adv Radiat Oncol Physics Contribution PURPOSE: Currently, several active clinical trials of functional lung avoidance radiation therapy using different imaging modalities for ventilation or perfusion are underway. Patients with lung cancer often show ventilation-perfusion mismatch, whereas the significance of dose-function metric remains unclear. The aim of the present study was to compare dose-ventilation metrics with dose-perfusion metrics for radiation therapy plan evaluation. METHODS AND MATERIALS: Pretreatment 4-dimensional computed tomography and (99m)Tc-macroaggregated albumin single-photon emission computed tomography perfusion images of 60 patients with lung cancer treated with radiation therapy were analyzed. Ventilation images were created using the deformable image registration of 4-dimensional computed tomography image sets and image analysis for regional volume changes as a surrogate for ventilation. Ventilation and perfusion images were converted into percentile distribution images. Analyses included Pearson’s correlation coefficient and comparison of agreements between the following dose-ventilation and dose-perfusion metrics: functional mean lung dose and functional percent lung function receiving 5, 10, 20, 30, and 40 Gy (fV(5), fV(10), fV(20), fV(30), and fV(40), respectively). RESULTS: Overall, the dose-ventilation metrics were greater than the dose-perfusion metrics (ie, fV(20), 26.3% ± 9.9% vs 23.9% ± 9.8%). Correlations between the dose-ventilation and dose-perfusion metrics were strong (range, r = 0.94-0.97), whereas the agreements widely varied among patients, with differences as large as 6.6 Gy for functional mean lung dose and 11.1% for fV(20). Paired t test indicated that the dose-ventilation and dose-perfusion metrics were significantly different. CONCLUSIONS: Strong correlations were present between the dose-ventilation and dose-perfusion metrics. However, the agreement between the dose-ventilation and dose-perfusion metrics widely varied among patients, suggesting that ventilation-based radiation therapy plan evaluation may not be comparable to that based on perfusion. Future studies should elucidate the correlation of dose-function metrics with clinical pulmonary toxicity metrics. Elsevier 2020-03-20 /pmc/articles/PMC7280081/ /pubmed/32529141 http://dx.doi.org/10.1016/j.adro.2020.03.002 Text en © 2020 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 Physics Contribution
Nakajima, Yujiro
Kadoya, Noriyuki
Kimura, Tomoki
Hioki, Kazunari
Jingu, Keiichi
Yamamoto, Tokihiro
Variations Between Dose-Ventilation and Dose-Perfusion Metrics in Radiation Therapy Planning for Lung Cancer
title Variations Between Dose-Ventilation and Dose-Perfusion Metrics in Radiation Therapy Planning for Lung Cancer
title_full Variations Between Dose-Ventilation and Dose-Perfusion Metrics in Radiation Therapy Planning for Lung Cancer
title_fullStr Variations Between Dose-Ventilation and Dose-Perfusion Metrics in Radiation Therapy Planning for Lung Cancer
title_full_unstemmed Variations Between Dose-Ventilation and Dose-Perfusion Metrics in Radiation Therapy Planning for Lung Cancer
title_short Variations Between Dose-Ventilation and Dose-Perfusion Metrics in Radiation Therapy Planning for Lung Cancer
title_sort variations between dose-ventilation and dose-perfusion metrics in radiation therapy planning for lung cancer
topic Physics Contribution
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280081/
https://www.ncbi.nlm.nih.gov/pubmed/32529141
http://dx.doi.org/10.1016/j.adro.2020.03.002
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