Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2025
Delphi consensus-based recommendations of tools and outcomes for the assessment of radiation dermatitis severity.
СтатьяConsensus StatementПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Rahman S Minhaj, Patel Partha, Finkelstein Samuel, Lee Shing Fung, Wong Henry, Chan Adrian Wai, Zhang Elwyn, Yee Kwan Jennifer Yin, Bonomo Pierluigi, Chan Raymond J, van den Hurk Corina, Chow Edward, Banerjee Suvam, Aquilano Michele, Trombetta Mark, Behroozian Tara, Ryan Wolf Julie, Multinational Association of Supportive Care in Cancer MASCC Oncodermatology Study Group Radiation Dermatitis Guidelines Working Group
Аннотация
INTRODUCTION: Acute radiation dermatitis (ARD) is a common side effect experienced during radiation therapy (RT) for cancer. Published clinical trials for ARD use a myriad of assessment tools and outcomes to measure ARD severity, which limits the comparability of clinical trial results. Our study utilized a modified Delphi consensus survey to gather expert opinions on commonly used tools for ARD severity.
MATERIALS AND METHODS: Thirty experts were invited to participate in a two-round Delphi consensus survey. Of these, 80 % (24/30) completed the first round; and 92 % (22/24) completed the second round. The Delphi process was conducted using the REDCap platform to systematically collect expert opinions on 32 assessment tools and 11 key outcomes pertinent to the severity of ARD. Assessment tools and outcomes that achieved a consensus of ≥ 70 % among the experts were subsequently recommended.
RESULTS: Expert recommendations included four tools (RTOG, CTCAE, RISRAS, and Skindex-16) and eight relevant outcomes (moist desquamation, pain, QoL, erythema, dry desquamation, pruritus/itching, necrosis/ulceration, and burning) for ARD severity assessment. Due to limited evidence, no biophysical parameters reached consensus. Further, experts suggested modifications to existing tools to improve measurement of ARD severity across all skin types.
CONCLUSION: Our study was the first step in standardizing ARD severity assessment with expert consensus recommendation for four tools and eight relevant outcomes. However, modifications to existing tools are necessary to promote validation and accuracy across all skin types. Future efforts should create a new comprehensive ARD severity assessment tool to address deficiencies in existing tools.
MATERIALS AND METHODS: Thirty experts were invited to participate in a two-round Delphi consensus survey. Of these, 80 % (24/30) completed the first round; and 92 % (22/24) completed the second round. The Delphi process was conducted using the REDCap platform to systematically collect expert opinions on 32 assessment tools and 11 key outcomes pertinent to the severity of ARD. Assessment tools and outcomes that achieved a consensus of ≥ 70 % among the experts were subsequently recommended.
RESULTS: Expert recommendations included four tools (RTOG, CTCAE, RISRAS, and Skindex-16) and eight relevant outcomes (moist desquamation, pain, QoL, erythema, dry desquamation, pruritus/itching, necrosis/ulceration, and burning) for ARD severity assessment. Due to limited evidence, no biophysical parameters reached consensus. Further, experts suggested modifications to existing tools to improve measurement of ARD severity across all skin types.
CONCLUSION: Our study was the first step in standardizing ARD severity assessment with expert consensus recommendation for four tools and eight relevant outcomes. However, modifications to existing tools are necessary to promote validation and accuracy across all skin types. Future efforts should create a new comprehensive ARD severity assessment tool to address deficiencies in existing tools.