ArticlePloS one2023
Quantitative radiomics approach to assess acute radiation dermatitis in breast cancer patients.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Oral Postbiotic (VMK223) Supplementation Is Associated with Improved Instrumental Skin Appearance Parameters in Healthy Women Aged 40-55 Years: A Randomized, Double-Blind, Placebo-Controlled Trial.Dermatology and therapy · 2026Article
- AI-enabled precision prediction and proactive management of cutaneous toxicities in cancer immunoradiotherapy (ICI+RT).Frontiers in oncology · 2026Review
- Multi-Radiomics Features of Super-Resolution MRI for Predicting Minor Amputation in Wagner 3 Diabetic Foot Ulcers.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
- Targeted Radiotherapy in Primary Cutaneous Lymphomas: Precision, Efficacy, and Evolving Strategies.Cancers · 2025Review
- Systematic review of the tools and outcomes for the assessment of acute radiation dermatitis severity.Clinical and translational radiation oncology · 2025Review
- Recent advances in the mechanisms, current treatment status, and application of multifunctional biomaterials for radiation-induced skin injury.Theranostics · 2025Review
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Authors and funding
7 authors.
Funding
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Abstract
purposeWe applied a radiomics approach to skin surface images to objectively assess acute radiation dermatitis in patients undergoing radiotherapy for breast cancer.
methodsA 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.
resultsAs 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.
conclusionsThe 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.
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