Noninvasive Spectral Monitoring for Radiation Therapy Induced Skin-Inflammation | ||
| Journal of Engineering Science and Military Technologies | ||
| Articles in Press, Accepted Manuscript, Available Online from 26 February 2025 | ||
| Document Type: Original Article | ||
| DOI: 10.21608/ejmtc.2024.280806.1276 | ||
| Authors | ||
| Ramy Abdlaty* 1; Qiyin MYM Fang2; Joseph MYM Hayward3; Lilian MYM Doerwald4; Ahmed k. Elsherif5 | ||
| 1Biomedical Engineering Department, Military Technical College, Cairo, Egypt | ||
| 2Professor of Engineering Physics | ||
| 3Associate Professor, Radiology, Faculty of Health Sciences | ||
| 4Radiotherapist | ||
| 5Engineering Mathematics, Military Technical College, Cairo, Egypt | ||
| Abstract | ||
| Toward high-quality radiotherapy treatment for skin cancer, skin toxicity necessitates precise monitoring. The monitoring procedure targets the investigation of the development of acute skin toxicity due to radiation exposure. Skin toxicity is a common symptom in 90% of the patients who receive ionizing radiation for cancer treatment. This work presents an investigation of using hyperspectral imaging (HSI) to quantify skin toxicity inflammatory response (skin erythema). This investigation used expert visual assessment (VA), optical imaging, and HSI to monitor skin erythema induced in 5 recruited skin cancer patients referred to radiotherapy for treatment. Erythema indices were computed using Dawson’s formulae that were applied to the captured data via HSI and the results were compared to VA. The study’s results showed that the computed relative erythema index is a highly correlated objective measure to VA. In addition, this study provided a piece of evidence that hyperspectral imaging beats optical imaging in classifying skin erythema in terms of precision and specificity. Consequently, HSI becomes a potential opportunity for investigating the toxicity symptoms of skin toxicity due to a variety of dermatological diseases. | ||
| Keywords | ||
| Skin; Radiotherapy; Hyperspectral Imaging; Image classification; Erythema | ||
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