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Quantitative radiomics approach to assess acute radiation dermatitis in breast cancer patients
PURPOSE: We applied a radiomics approach to skin surface images to objectively assess acute radiation dermatitis in patients undergoing radiotherapy for breast cancer. METHODS: A prospective cohort study of 20 patients was conducted. Skin surface images in normal, polarized, and ultraviolet (UV) mod...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602246/ https://www.ncbi.nlm.nih.gov/pubmed/37883380 http://dx.doi.org/10.1371/journal.pone.0293071 |
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author | Park, So-Yeon Park, Jong Min Kim, Jung-in Choi, Chang Heon Chun, Minsoo Chang, Ji Hyun Kim, Jin Ho |
author_facet | Park, So-Yeon Park, Jong Min Kim, Jung-in Choi, Chang Heon Chun, Minsoo Chang, Ji Hyun Kim, Jin Ho |
author_sort | Park, So-Yeon |
collection | PubMed |
description | PURPOSE: We applied a radiomics approach to skin surface images to objectively assess acute radiation dermatitis in patients undergoing radiotherapy for breast cancer. METHODS: A prospective cohort study of 20 patients was conducted. Skin surface images in normal, polarized, and ultraviolet (UV) modes were acquired using a skin analysis device before starting radiotherapy (‘Before RT’), approximately 7 days after the first treatment (’RT D7’), on ‘RT D14’, and approximately 10 days after the radiotherapy ended (‘After RT D10’). Eighteen types of radiomic feature ratios were calculated based on the values acquired ‘Before RT’. We measured skin doses in ipsilateral breasts using optically stimulated luminescent dosimeters on the first day of radiotherapy. Clinical evaluation of acute radiation dermatitis was performed using the Radiation Therapy Oncology Group scoring criteria on ‘RT D14’ and ‘After RT D10’. Several statistical analysis methods were used in this study to test the performance of radiomic features as indicators of radiodermatitis evaluation. RESULTS: As the skin was damaged by radiation, the energy for normal mode and sum variance for polarized and UV modes decreased significantly for ipsilateral breasts, whereas contralateral breasts exhibited a smaller decrease with statistical significance. The radiomic feature ratios at ‘RT D7’ had strong correlations to skin doses and those at ‘RT D14’ and ‘after RT D10’ with statistical significance. CONCLUSIONS: The energy for normal mode and sum variance for polarized and UV modes demonstrated the potential to evaluate and predict acute radiation, which assists in its appropriate management. |
format | Online Article Text |
id | pubmed-10602246 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-106022462023-10-27 Quantitative radiomics approach to assess acute radiation dermatitis in breast cancer patients Park, So-Yeon Park, Jong Min Kim, Jung-in Choi, Chang Heon Chun, Minsoo Chang, Ji Hyun Kim, Jin Ho PLoS One Research Article PURPOSE: We applied a radiomics approach to skin surface images to objectively assess acute radiation dermatitis in patients undergoing radiotherapy for breast cancer. METHODS: A prospective cohort study of 20 patients was conducted. Skin surface images in normal, polarized, and ultraviolet (UV) modes were acquired using a skin analysis device before starting radiotherapy (‘Before RT’), approximately 7 days after the first treatment (’RT D7’), on ‘RT D14’, and approximately 10 days after the radiotherapy ended (‘After RT D10’). Eighteen types of radiomic feature ratios were calculated based on the values acquired ‘Before RT’. We measured skin doses in ipsilateral breasts using optically stimulated luminescent dosimeters on the first day of radiotherapy. Clinical evaluation of acute radiation dermatitis was performed using the Radiation Therapy Oncology Group scoring criteria on ‘RT D14’ and ‘After RT D10’. Several statistical analysis methods were used in this study to test the performance of radiomic features as indicators of radiodermatitis evaluation. RESULTS: As the skin was damaged by radiation, the energy for normal mode and sum variance for polarized and UV modes decreased significantly for ipsilateral breasts, whereas contralateral breasts exhibited a smaller decrease with statistical significance. The radiomic feature ratios at ‘RT D7’ had strong correlations to skin doses and those at ‘RT D14’ and ‘after RT D10’ with statistical significance. CONCLUSIONS: The energy for normal mode and sum variance for polarized and UV modes demonstrated the potential to evaluate and predict acute radiation, which assists in its appropriate management. Public Library of Science 2023-10-26 /pmc/articles/PMC10602246/ /pubmed/37883380 http://dx.doi.org/10.1371/journal.pone.0293071 Text en © 2023 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 Park, Jong Min Kim, Jung-in Choi, Chang Heon Chun, Minsoo Chang, Ji Hyun Kim, Jin Ho Quantitative radiomics approach to assess acute radiation dermatitis in breast cancer patients |
title | Quantitative radiomics approach to assess acute radiation dermatitis in breast cancer patients |
title_full | Quantitative radiomics approach to assess acute radiation dermatitis in breast cancer patients |
title_fullStr | Quantitative radiomics approach to assess acute radiation dermatitis in breast cancer patients |
title_full_unstemmed | Quantitative radiomics approach to assess acute radiation dermatitis in breast cancer patients |
title_short | Quantitative radiomics approach to assess acute radiation dermatitis in breast cancer patients |
title_sort | quantitative radiomics approach to assess acute radiation dermatitis in breast cancer patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602246/ https://www.ncbi.nlm.nih.gov/pubmed/37883380 http://dx.doi.org/10.1371/journal.pone.0293071 |
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