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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.
Afiliación
  • Park SY; Department of Radiation Oncology, Veterans Health Service Medical Center, Seoul, Republic of Korea.
  • Kim JH; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea.
  • Chang JH; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea.
  • Park JM; Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Choi CH; Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea.
  • Kim JI; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea.
PLoS One ; 17(3): e0264925, 2022.
Article en En | MEDLINE | ID: mdl-35263372
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 (RTbefore), approximately 7 days after the first fraction of radiotherapy (RT7days), RT14days, and approximately 10 days after radiotherapy completion (RTafter). 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 RT14days and RTafter. 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 RT7days with skin doses and those at RTafter 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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radiodermatitis / Neoplasias de la Mama Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies Límite: Female / Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radiodermatitis / Neoplasias de la Mama Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies Límite: Female / Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2022 Tipo del documento: Article
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