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Quantitative evaluation of radiodermatitis following whole-breast radiotherapy with various color space models: A feasibility study

PURPOSE: We analyzed skin images with various color space models to objectively assess radiodermatitis severity in patients receiving whole-breast radiotherapy. METHODS: Twenty female patients diagnosed with breast cancer were enrolled prospectively. All patients received whole-breast radiotherapy w...

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Autores principales: Park, So-Yeon, Kim, Jin Ho, Chang, Ji Hyun, Park, Jong Min, Choi, Chang Heon, Kim, Jung-In
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8906630/
https://www.ncbi.nlm.nih.gov/pubmed/35263372
http://dx.doi.org/10.1371/journal.pone.0264925
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author Park, So-Yeon
Kim, Jin Ho
Chang, Ji Hyun
Park, Jong Min
Choi, Chang Heon
Kim, Jung-In
author_facet Park, So-Yeon
Kim, Jin Ho
Chang, Ji Hyun
Park, Jong Min
Choi, Chang Heon
Kim, Jung-In
author_sort Park, So-Yeon
collection PubMed
description PURPOSE: We analyzed skin images with various color space models to objectively assess radiodermatitis severity in patients receiving whole-breast radiotherapy. METHODS: Twenty female patients diagnosed with breast cancer were enrolled prospectively. All patients received whole-breast radiotherapy without boost irradiation. Skin images for both irradiated and unirradiated breasts were recorded in red-green-blue (RGB) color space using a mobile skin analysis device. For longitudinal analysis, the images were acquired before radiotherapy (RT(before)), approximately 7 days after the first fraction of radiotherapy (RT(7days)), RT(14days), and approximately 10 days after radiotherapy completion (RT(after)). Four color space models (RGB, hue-saturation-value (HSV), L*a*b*, and YCbCr models) were employed to calculate twelve color space parameters for each skin image. Skin dose measurements for irradiated breasts were performed using nanoDot optically stimulated luminescent dosimeters on the first fraction of radiotherapy. Subsequently, acute radiation dermatitis in each patient was assessed according to the Radiation Therapy Oncology Group scoring criteria at both RT(14days) and RT(after). Finally, several statistical analysis methods were applied to investigate the performance of the color space parameters to objectively assess the radiodermatitis. RESULTS: Owing to radiation-induced skin damage, R value of RGB model as well as S and V values of the HSV model for irradiated breasts increased significantly, while those for unirradiated breasts showed smaller increases. These parameters showed the longitudinal changes in color space parameters within each group and between groups over time with statistical significance. Strong correlations of the parameters for irradiated breasts at RT(7days) with skin doses and those at RT(after) were observed with statistical significance. CONCLUSION: The R value of RGB model as well as the S and V values of HSV model showed relatively better performance in evaluating the acute radiation dermatitis. These color space parameters could therefore serve as useful tools to assess radiodermatitis severity in a dose-dependent manner.
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spelling pubmed-89066302022-03-10 Quantitative evaluation of radiodermatitis following whole-breast radiotherapy with various color space models: A feasibility study Park, So-Yeon Kim, Jin Ho Chang, Ji Hyun Park, Jong Min Choi, Chang Heon Kim, Jung-In PLoS One Research Article PURPOSE: We analyzed skin images with various color space models to objectively assess radiodermatitis severity in patients receiving whole-breast radiotherapy. METHODS: Twenty female patients diagnosed with breast cancer were enrolled prospectively. All patients received whole-breast radiotherapy without boost irradiation. Skin images for both irradiated and unirradiated breasts were recorded in red-green-blue (RGB) color space using a mobile skin analysis device. For longitudinal analysis, the images were acquired before radiotherapy (RT(before)), approximately 7 days after the first fraction of radiotherapy (RT(7days)), RT(14days), and approximately 10 days after radiotherapy completion (RT(after)). Four color space models (RGB, hue-saturation-value (HSV), L*a*b*, and YCbCr models) were employed to calculate twelve color space parameters for each skin image. Skin dose measurements for irradiated breasts were performed using nanoDot optically stimulated luminescent dosimeters on the first fraction of radiotherapy. Subsequently, acute radiation dermatitis in each patient was assessed according to the Radiation Therapy Oncology Group scoring criteria at both RT(14days) and RT(after). Finally, several statistical analysis methods were applied to investigate the performance of the color space parameters to objectively assess the radiodermatitis. RESULTS: Owing to radiation-induced skin damage, R value of RGB model as well as S and V values of the HSV model for irradiated breasts increased significantly, while those for unirradiated breasts showed smaller increases. These parameters showed the longitudinal changes in color space parameters within each group and between groups over time with statistical significance. Strong correlations of the parameters for irradiated breasts at RT(7days) with skin doses and those at RT(after) were observed with statistical significance. CONCLUSION: The R value of RGB model as well as the S and V values of HSV model showed relatively better performance in evaluating the acute radiation dermatitis. These color space parameters could therefore serve as useful tools to assess radiodermatitis severity in a dose-dependent manner. Public Library of Science 2022-03-09 /pmc/articles/PMC8906630/ /pubmed/35263372 http://dx.doi.org/10.1371/journal.pone.0264925 Text en © 2022 Park et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Park, So-Yeon
Kim, Jin Ho
Chang, Ji Hyun
Park, Jong Min
Choi, Chang Heon
Kim, Jung-In
Quantitative evaluation of radiodermatitis following whole-breast radiotherapy with various color space models: A feasibility study
title Quantitative evaluation of radiodermatitis following whole-breast radiotherapy with various color space models: A feasibility study
title_full Quantitative evaluation of radiodermatitis following whole-breast radiotherapy with various color space models: A feasibility study
title_fullStr Quantitative evaluation of radiodermatitis following whole-breast radiotherapy with various color space models: A feasibility study
title_full_unstemmed Quantitative evaluation of radiodermatitis following whole-breast radiotherapy with various color space models: A feasibility study
title_short Quantitative evaluation of radiodermatitis following whole-breast radiotherapy with various color space models: A feasibility study
title_sort quantitative evaluation of radiodermatitis following whole-breast radiotherapy with various color space models: a feasibility study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8906630/
https://www.ncbi.nlm.nih.gov/pubmed/35263372
http://dx.doi.org/10.1371/journal.pone.0264925
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