ArticleClinical and translational radiation oncology2022
Pre-treatment visualization of predicted radiation-induced acute alopecia in brain tumour patients.
Article in Clinical and translational radiation oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 7 citations in OpenAlex.
- Severe Unilateral Alopecia in a Long-Term Surviving Male Adolescent Glioblastoma Multiforme Patient.Clinical, cosmetic and investigational dermatology · 2025Article
- Modeling Normal Tissue Complication Probability of Radiation-Induced Alopecia Following Intensity-Modulated Radiation Therapy in Glioblastoma Patients.Advanced biomedical research · 2025Article
- Dosimetric comparison of advanced radiation techniques for scalp-sparing in low-grade gliomas.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2024Article
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Authors and funding
9 authors at 4 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
background and purposeTemporary alopecia is a common side-effect in brain tumour patients receiving cranial radiotherapy with a significant psychological burden for the affected patient. The purpose of this study was to generate a method in our treatment planning system (TPS) to visualize the expected radiation-induced alopecia 4 weeks after treatment, in order to inform the patients thereupon before the start of radiotherapy. MATERIAL AND
methodsA pilot study was conducted in ten patients receiving hypo- (HF) or conventionally fractionated (CF) photon beam Volumetric Modulated Arc Therapy (VMAT) for an intracranial lesion. Dose calculations were correlated to visible alopecia four weeks after the end of treatment to create a structure predictive of alopecia in our TPS. These alopecia structures for both fractionation schedules were validated in two cohorts of 69 HF and 78 CF patients undergoing radiotherapy between 2016 and 2019.
resultsIn the pilot cohort, a total physical dose of 4 Gy for HF and 12.6 Gy for CF radiotherapy were found to be predictive of alopecia 4 weeks after treatment. Applying these doses to our validation cohort, we found an accurate prediction of alopecia in 59/69 (86%) HF and 73/78 (96%) CF patients. For the total patient group of 147 patients, the predicted amount of alopecia was accurate in 90% of the cases. All inaccurate predictions overestimated the expected extent of alopecia.
conclusionThe presented straightforward method to visualize predicted alopecia 4 weeks after treatment has proven to predict the extent alopecia highly accurate in the vast majority of patients. Sharing these results with the patients pre-treatment may result in stress reduction before cranial irradiation.
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