A novel approach to predict acute radiation dermatitis in patients with head and neck cancer using a model based on Bayesian probability.

Acute radiation dermatitis Bayesian probability Head and neck radiation therapy Probabilistic forecasting

Journal

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
ISSN: 1724-191X
Titre abrégé: Phys Med
Pays: Italy
ID NLM: 9302888

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 19 06 2023
revised: 04 10 2023
accepted: 17 11 2023
pubmed: 25 11 2023
medline: 25 11 2023
entrez: 24 11 2023
Statut: ppublish

Résumé

In this study, we aimed to establish a method for predicting the probability of each acute radiation dermatitis (ARD) grade during the head and neck Volumetric Modulated Arc Therapy (VMAT) radiotherapy planning phase based on Bayesian probability. The skin dose volume >50 Gy (V The empirical distribution for each graded patient group demonstrated a normal distribution. The method predicted ARD grades with 92.4 % accuracy and provided a V The Bayesian probability-based ARD prediction method could predict the ARD grade at the treatment planning stage using limited patient diagnostic data that demonstrated a normal distribution. If the probability of an ARD grade is high, skin care can be initiated in advance. Furthermore, the V

Identifiants

DOI: 10.1016/j.ejmp.2023.103181 PMID: 38000101
pubmed: 38000101
pii: S1120-1797(23)01209-7
doi: 10.1016/j.ejmp.2023.103181
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103181

Informations de copyright

Copyright © 2023. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Keisuke Hamada (K)

Department of Radiological Technology, National Hospital Organization Kyushu Cancer Center, 3-1-1, Notame, Minami-ku, Fukuoka City, Fukuoka 811-1395, Japan; Department of Health Sciences, Graduate School of Medicine, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan. Electronic address: hamada.keisuke.we@mail.hosp.go.jp.

Toshioh Fujibuchi (T)

Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan. Electronic address: fujibuchi.toshioh.294@m.kyushu-u.ac.jp.

Hiroyuki Arakawa (H)

Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan. Electronic address: arakawa.hiroyuki.306@m.kyushu-u.ac.jp.

Yuichi Yokoyama (Y)

Department of Radiological Technology, National Hospital Organization Kyushu Cancer Center, 3-1-1, Notame, Minami-ku, Fukuoka City, Fukuoka 811-1395, Japan. Electronic address: yokoyama.yuichi.jx@mail.hosp.go.jp.

Naoki Yoshida (N)

Department of Radiological Technology, National Hospital Organization Kyushu Cancer Center, 3-1-1, Notame, Minami-ku, Fukuoka City, Fukuoka 811-1395, Japan. Electronic address: yoshida.naoki.hb@mail.hosp.go.jp.

Hiroki Ohura (H)

Department of Radiological Technology, National Hospital Organization Kyushu Medical Center, 1-8-1 Jigyohama, Chuo-ku, Fukuoka City, Fukuoka 810-8563, Japan. Electronic address: ooura.hiroki.uy@mail.hosp.go.jp.

Naonobu Kunitake (N)

Department of Radiation Oncology, National Hospital Organization Kyushu Cancer Center, 3-1-1, Notame, Minami-ku, Fukuoka City, Fukuoka 811-1395, Japan. Electronic address: kunitake.naonobu.nb@mail.hosp.go.jp.

Muneyuki Masuda (M)

Department of Head and Neck Surgery, National Hospital Organization Kyushu Cancer Center, 3-1-1, Notame, Minami-ku, Fukuoka City, Fukuoka 811-1395, Japan. Electronic address: mmuneyuki@icloud.com.

Takeo Honda (T)

Department of Radiological Technology, National Hospital Organization Kyushu Cancer Center, 3-1-1, Notame, Minami-ku, Fukuoka City, Fukuoka 811-1395, Japan. Electronic address: honda.takeo.mn@mail.hosp.go.jp.

Satoru Tokuda (S)

Research Institute for Information Technology, Kyushu University, 6-1, Kasuga koen, Kasuga City, Fukuoka 816-8580, Japan. Electronic address: s.tokuda.a96@m.kyushu-u.ac.jp.

Makoto Sasaki (M)

College of Industrial Technology, Nihon University, 1-2-1 Izumi-cho, Narashino City, Chiba 275-8575, Japan. Electronic address: sasaki.makoto@nihon-u.ac.jp.

Classifications MeSH