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Published in: Radiation Oncology 1/2019

Open Access 01-12-2019 | Radiotherapy | Research

A scoring system predicting acute radiation dermatitis in patients with head and neck cancer treated with intensity-modulated radiotherapy

Authors: Mitsue Kawamura, Michio Yoshimura, Hiromi Asada, Mitsuhiro Nakamura, Yukinori Matsuo, Takashi Mizowaki

Published in: Radiation Oncology | Issue 1/2019

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Abstract

Background and purpose

We created a scoring system incorporating dosimetric and clinical factors to assess the risk of severe, acute skin reactions in patients undergoing intensity-modulated radiation therapy (IMRT) to treat head and neck cancer (HNC).

Materials and methods

A total of 101 consecutive patients who received definitive IMRT or volumetric modulated arc therapy (VMAT) with a prescription dose of 70 Gy to treat HNC between 2013 and 2017 in our hospital were enrolled. Skin V5Gy, V10Gy, V20Gy, V30Gy, V40Gy, V50Gy, and V60Gy values delivered 5 mm within the body contour were compared between patients with Grades 1–2 and Grade 3 dermatitis. A scoring system was created based on logistic regression analysis (LRA) that identified the most significant dosimetric and clinical factors.

Results

The V60Gy was significantly associated with radiation dermatitis grade in both LRA and recursive partitioning analysis (RPA). A scoring system incorporating the V60Gy, concurrent chemotherapy status, age, and body mass index was used to divide all patients into three subgroups (0–1, 2–3, and 4–6 points) in the RPA. The incidence of Grade 3 dermatitis significantly differed among the subgroups (0, 20.5, and 58.6%, respectively, P < 0.01).

Conclusions

A risk analysis model incorporating dose-volume parameters successfully predicted acute skin reactions and will aid in the appropriate management of radiation dermatitis.
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Metadata
Title
A scoring system predicting acute radiation dermatitis in patients with head and neck cancer treated with intensity-modulated radiotherapy
Authors
Mitsue Kawamura
Michio Yoshimura
Hiromi Asada
Mitsuhiro Nakamura
Yukinori Matsuo
Takashi Mizowaki
Publication date
01-12-2019
Publisher
BioMed Central
Published in
Radiation Oncology / Issue 1/2019
Electronic ISSN: 1748-717X
DOI
https://doi.org/10.1186/s13014-019-1215-2

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