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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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. |
format | Online Article Text |
id | pubmed-7280081 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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