Scalp dosimetry as a predictor of radiation-induced alopecia in primary brain tumours: a retrospective study from a tertiary cancer centre in south India

سال انتشار: 1404
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 93

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شناسه ملی سند علمی:

JR_JCOMS-5-2_002

تاریخ نمایه سازی: 4 مرداد 1404

چکیده مقاله:

Introduction: Radiotherapy is essential in treating primary brain tumours, but radiation-induced alopecia (RIA) remains a common side effect that significantly affects patients' quality of life (QOL). With its psychosocial impact on self-image, emotional well-being, and social interactions, alopecia warrants focused attention. This study aims to evaluate the scalp as an organ at risk by defining dose constraints that minimize RIA while maintaining optimal target coverage.Materials and methods: A retrospective analysis was conducted on ۷۰ patients with primary brain tumours who received focal cranial radiotherapy between January ۲۰۲۲ and December ۲۰۲۴. Scalp dose-volume histograms (DVHs) were generated from treatment planning systems, and the mean scalp dose (D mean), maximum scalp dose (D max), median volume of scalp, volume of scalp receiving ≥ ۳۰ Gy (V۳۰Gy), dose received by ۲۰cc (D۲۰cc), and ۳۰cc (D۳۰cc) scalp volume were recorded. RIA was graded according to the Common Terminology Criteria for Adverse Events (CTCAE) version ۵.۰. ROC statistical analysis was performed to evaluate the predictive value of scalp dosimetric parameters for RIA severity.Results: The median age of the cohort was ۵۷ years, with a male-to-female ratio of ۱.۰۸:۱. The median D max, D mean, V ۳۰ Gy, D۲۰cc were ۶۰.۴ Gy, ۱۷.۵ Gy, ۱۹.۲%, and ۴۶.۴ Gy, respectively. Grade ۲ and higher RIA was observed in ۶۳% of patients. V۳۰Gy, either independently or in combination with Scalp D mean, was identified as a significant predictor of Grade ۲ or higher RIA.Conclusion: Optimising scalp dose parametric during radiotherapy planning may help mitigate RIA and improve QOL.Introduction: Radiotherapy is essential in treating primary brain tumours, but radiation-induced alopecia (RIA) remains a common side effect that significantly affects patients' quality of life (QOL). With its psychosocial impact on self-image, emotional well-being, and social interactions, alopecia warrants focused attention. This study aims to evaluate the scalp as an organ at risk by defining dose constraints that minimize RIA while maintaining optimal target coverage. Materials and methods: A retrospective analysis was conducted on ۷۰ patients with primary brain tumours who received focal cranial radiotherapy between January ۲۰۲۲ and December ۲۰۲۴. Scalp dose-volume histograms (DVHs) were generated from treatment planning systems, and the mean scalp dose (D mean), maximum scalp dose (D max), median volume of scalp, volume of scalp receiving ≥ ۳۰ Gy (V۳۰Gy), dose received by ۲۰cc (D۲۰cc), and ۳۰cc (D۳۰cc) scalp volume were recorded. RIA was graded according to the Common Terminology Criteria for Adverse Events (CTCAE) version ۵.۰. ROC statistical analysis was performed to evaluate the predictive value of scalp dosimetric parameters for RIA severity. Results: The median age of the cohort was ۵۷ years, with a male-to-female ratio of ۱.۰۸:۱. The median D max, D mean, V ۳۰ Gy, D۲۰cc were ۶۰.۴ Gy, ۱۷.۵ Gy, ۱۹.۲%, and ۴۶.۴ Gy, respectively. Grade ۲ and higher RIA was observed in ۶۳% of patients. V۳۰Gy, either independently or in combination with Scalp D mean, was identified as a significant predictor of Grade ۲ or higher RIA. Conclusion: Optimising scalp dose parametric during radiotherapy planning may help mitigate RIA and improve QOL.

نویسندگان

Lalitha Nageshwari S

Department of Radiation Oncology, Kidwai Memorial Institute of Oncology, Bengaluru- ۵۶۰۰۲۹, Karnataka, India

Govardhan HB

Department of Radiation Oncology, Kidwai Memorial Institute of Oncology, Bengaluru- ۵۶۰۰۲۹, Karnataka, India

Ibrahim Khaleel

Department of Radiation Oncology, Kidwai Memorial Institute of Oncology, Bengaluru- ۵۶۰۰۲۹, Karnataka, India

Vijayath BR

Department of Radiation Oncology, Kidwai Memorial Institute of Oncology, Bengaluru- ۵۶۰۰۲۹, Karnataka, India

Akshay KT

Department of Radiation Oncology, Kidwai Memorial Institute of Oncology, Bengaluru- ۵۶۰۰۲۹, Karnataka, India

Priyadarshini T

Department of Radiation Oncology, Kidwai Memorial Institute of Oncology, Bengaluru- ۵۶۰۰۲۹, Karnataka, India

Sahana R

Department of Radiation Oncology, Kidwai Memorial Institute of Oncology, Bengaluru- ۵۶۰۰۲۹, Karnataka, India