Assessment Tools of Radiation Skin Injury in Head and Neck Cancer: A Narrative Review of Preclinical and Clinical Studies

Radiation skin injury (RSI) is an unavoidable side effect of radiotherapy that delays the treatment process and affects patients' quality of life. However, RSI is easily overlooked in clinical practice with unified assessment methods. Although over 20 types of clinical scales have already been reported, they were never collated and systematically reorganized. In this review, we collected and categorized the RSI scales from the perspective of RSI-rated symptoms, patient self-feeling, the impact on quality of life, and psychological conditions, and summarize the common assessment modalities (both scoring scales and histopathological analysis) of preclinical RSI models. We also discuss the possibility of utilizing Artificial Intelligence (AI)-based radiomics for RSI assessment.

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Publication Details

Journal
Head & Neck
Published
2026-03-11
DOI
https://doi.org/10.1002/hed.70229
Primary Topic
Effects of Radiation Exposure
Type
article
Field-Weighted Citation Impact
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article

Assessment Tools of Radiation Skin Injury in Head and Neck Cancer: A Narrative Review of Preclinical and Clinical Studies

Hongdan Guan, Yunhao Chen, Xiao Liu, Yu Zhang et al.
Head & Neck
Effects of Radiation Exposure
article

Assessment Tools of Radiation Skin Injury in Head and Neck Cancer: A Narrative Review of Preclinical and Clinical Studies

Hongdan Guan, Yunhao Chen, Xiao Liu, Yu Zhang, Liangliang Wang, Zihan Zhou, Junjian Lin, Yafang Hong, Xiaowen Wang, Xingchen Ding, Yao Wang
article en

Abstract

Radiation skin injury (RSI) is an unavoidable side effect of radiotherapy that delays the treatment process and affects patients' quality of life. However, RSI is easily overlooked in clinical practice with unified assessment methods. Although over 20 types of clinical scales have already been reported, they were never collated and systematically reorganized. In this review, we collected and categorized the RSI scales from the perspective of RSI-rated symptoms, patient self-feeling, the impact on quality of life, and psychological conditions, and summarize the common assessment modalities (both scoring scales and histopathological analysis) of preclinical RSI models. We also discuss the possibility of utilizing Artificial Intelligence (AI)-based radiomics for RSI assessment.

Head & Neck
Fujian Medical University (CN), Soochow University (CN), Technology and Engineering Center for Space Utilization (CN), Shandong Tumor Hospital (CN), Zhangzhou Municipal Hospital of Fujian Province (CN), Education Department of Fujian Province (CN), Second Affiliated Hospital of Soochow University (CN), Jiangsu Cancer Hospital (CN), Shandong First Medical University (CN), Union Hospital (CN)
Openalex Percentile: Top 26%
Effects of Radiation Exposure
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