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Learning curve of lung dose optimization in intensity‐modulated radiotherapy for locally advanced non‐small cell lung cancer

BACKGROUND: Intensity‐modulated radiotherapy (IMRT) has been increasingly used for patients with locally advanced non‐small cell lung cancer (LA‐NSCLC). However, there are some barriers to implementing IMRT for LA‐NSCLC, including the complexity of treatment plan optimization. This study aimed to ev...

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Autores principales: Igari, Mitsunobu, Abe, Takanori, Iino, Misaki, Saito, Satoshi, Aoshika, Tomomi, Ryuno, Yasuhiro, Ohta, Tomohiro, Hirai, Ryuta, Kumazaki, Yu, Noda, Shin‐ei, Kato, Shingo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10493474/
https://www.ncbi.nlm.nih.gov/pubmed/37466172
http://dx.doi.org/10.1111/1759-7714.15046
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author Igari, Mitsunobu
Abe, Takanori
Iino, Misaki
Saito, Satoshi
Aoshika, Tomomi
Ryuno, Yasuhiro
Ohta, Tomohiro
Hirai, Ryuta
Kumazaki, Yu
Noda, Shin‐ei
Kato, Shingo
author_facet Igari, Mitsunobu
Abe, Takanori
Iino, Misaki
Saito, Satoshi
Aoshika, Tomomi
Ryuno, Yasuhiro
Ohta, Tomohiro
Hirai, Ryuta
Kumazaki, Yu
Noda, Shin‐ei
Kato, Shingo
author_sort Igari, Mitsunobu
collection PubMed
description BACKGROUND: Intensity‐modulated radiotherapy (IMRT) has been increasingly used for patients with locally advanced non‐small cell lung cancer (LA‐NSCLC). However, there are some barriers to implementing IMRT for LA‐NSCLC, including the complexity of treatment plan optimization. This study aimed to evaluate the learning curve of lung dose optimization in IMRT for LA‐NSCLC and identify the factors that affect the degree of achievement of lung dose optimization. METHODS: We retrospectively evaluated 40 consecutive patients with LA‐NSCLC who received concurrent chemoradiotherapy at our institution. These 40 patients were divided into two groups: 20 initially treated patients (earlier group) and 20 subsequently treated patients (later group). Patient and tumor characteristics were compared between the two groups. The dose‐volume parameter ratio between the actually delivered IMRT plan and the simulated three‐dimensional conformal radiotherapy plan was also compared between the two groups to determine the learning curve of lung dose optimization. RESULTS: The dose‐volume parameter ratio for lung volume to receive more than 5 Gy (lung V5) and mean lung dose (MLD) significantly decreased in later groups. The spread of the beam path and insufficient optimization of dose coverage of planning target volume (PTV) might cause poor control of lung V5, MLD. CONCLUSIONS: A learning curve for lung dose optimization was observed with the accumulation of experience. Appropriate techniques, such as restricting the beam path and ensuring dose coverage of PTV during the optimization process, are essential to control lung dose in IMRT for LA‐NSCLC.
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spelling pubmed-104934742023-09-12 Learning curve of lung dose optimization in intensity‐modulated radiotherapy for locally advanced non‐small cell lung cancer Igari, Mitsunobu Abe, Takanori Iino, Misaki Saito, Satoshi Aoshika, Tomomi Ryuno, Yasuhiro Ohta, Tomohiro Hirai, Ryuta Kumazaki, Yu Noda, Shin‐ei Kato, Shingo Thorac Cancer Original Articles BACKGROUND: Intensity‐modulated radiotherapy (IMRT) has been increasingly used for patients with locally advanced non‐small cell lung cancer (LA‐NSCLC). However, there are some barriers to implementing IMRT for LA‐NSCLC, including the complexity of treatment plan optimization. This study aimed to evaluate the learning curve of lung dose optimization in IMRT for LA‐NSCLC and identify the factors that affect the degree of achievement of lung dose optimization. METHODS: We retrospectively evaluated 40 consecutive patients with LA‐NSCLC who received concurrent chemoradiotherapy at our institution. These 40 patients were divided into two groups: 20 initially treated patients (earlier group) and 20 subsequently treated patients (later group). Patient and tumor characteristics were compared between the two groups. The dose‐volume parameter ratio between the actually delivered IMRT plan and the simulated three‐dimensional conformal radiotherapy plan was also compared between the two groups to determine the learning curve of lung dose optimization. RESULTS: The dose‐volume parameter ratio for lung volume to receive more than 5 Gy (lung V5) and mean lung dose (MLD) significantly decreased in later groups. The spread of the beam path and insufficient optimization of dose coverage of planning target volume (PTV) might cause poor control of lung V5, MLD. CONCLUSIONS: A learning curve for lung dose optimization was observed with the accumulation of experience. Appropriate techniques, such as restricting the beam path and ensuring dose coverage of PTV during the optimization process, are essential to control lung dose in IMRT for LA‐NSCLC. John Wiley & Sons Australia, Ltd 2023-07-19 /pmc/articles/PMC10493474/ /pubmed/37466172 http://dx.doi.org/10.1111/1759-7714.15046 Text en © 2023 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Igari, Mitsunobu
Abe, Takanori
Iino, Misaki
Saito, Satoshi
Aoshika, Tomomi
Ryuno, Yasuhiro
Ohta, Tomohiro
Hirai, Ryuta
Kumazaki, Yu
Noda, Shin‐ei
Kato, Shingo
Learning curve of lung dose optimization in intensity‐modulated radiotherapy for locally advanced non‐small cell lung cancer
title Learning curve of lung dose optimization in intensity‐modulated radiotherapy for locally advanced non‐small cell lung cancer
title_full Learning curve of lung dose optimization in intensity‐modulated radiotherapy for locally advanced non‐small cell lung cancer
title_fullStr Learning curve of lung dose optimization in intensity‐modulated radiotherapy for locally advanced non‐small cell lung cancer
title_full_unstemmed Learning curve of lung dose optimization in intensity‐modulated radiotherapy for locally advanced non‐small cell lung cancer
title_short Learning curve of lung dose optimization in intensity‐modulated radiotherapy for locally advanced non‐small cell lung cancer
title_sort learning curve of lung dose optimization in intensity‐modulated radiotherapy for locally advanced non‐small cell lung cancer
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10493474/
https://www.ncbi.nlm.nih.gov/pubmed/37466172
http://dx.doi.org/10.1111/1759-7714.15046
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