A predictive nomogram for trismus after radiotherapy for head and neck cancer.
Head and neck cancer
Mouth opening reduction
Radiotherapy
Trismus
Journal
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
ISSN: 1879-0887
Titre abrégé: Radiother Oncol
Pays: Ireland
ID NLM: 8407192
Informations de publication
Date de publication:
08 2022
08 2022
Historique:
received:
19
12
2021
revised:
25
05
2022
accepted:
27
05
2022
pubmed:
7
6
2022
medline:
4
8
2022
entrez:
6
6
2022
Statut:
ppublish
Résumé
The aim of this study is to develop a prediction model for trismus (maximal interincisal distance equal to or less than 35 mm) based on a multivariable analysis of dosimetric and clinical factors. The maximum inter-incisal opening (MIO) of hean and neck cancer (HNC) patients who underwent radiotherapy (RT) ± concurrent chemotherapy with radical intent, was prospectively measured prior to RT (baseline) and 6 months post-RT. The outcome variable is trismus. The potential risk factors (clinical and dosimetric) were first screened by univariate analysis and then by multivariate analysis. At the end of this process, we used the features identified as relevant, to fit a logistic regression model and calculate the probability of observed trismus during the 6-month follow-up after RT. One hundred and four consecutive patients were included (mean age 63 years, range 25-87), 68 males, 36 females. In the univariate analysis, the MIO at baseline, as an independent variable, and several V A prediction nomogram was developed to assess trismus risk in planning process. An external validation of the model is required to apply it for current clinical use.
Sections du résumé
BACKGROUND
The aim of this study is to develop a prediction model for trismus (maximal interincisal distance equal to or less than 35 mm) based on a multivariable analysis of dosimetric and clinical factors.
METHODS
The maximum inter-incisal opening (MIO) of hean and neck cancer (HNC) patients who underwent radiotherapy (RT) ± concurrent chemotherapy with radical intent, was prospectively measured prior to RT (baseline) and 6 months post-RT. The outcome variable is trismus. The potential risk factors (clinical and dosimetric) were first screened by univariate analysis and then by multivariate analysis. At the end of this process, we used the features identified as relevant, to fit a logistic regression model and calculate the probability of observed trismus during the 6-month follow-up after RT.
RESULTS
One hundred and four consecutive patients were included (mean age 63 years, range 25-87), 68 males, 36 females. In the univariate analysis, the MIO at baseline, as an independent variable, and several V
CONCLUSIONS
A prediction nomogram was developed to assess trismus risk in planning process. An external validation of the model is required to apply it for current clinical use.
Identifiants
pubmed: 35662658
pii: S0167-8140(22)04137-8
doi: 10.1016/j.radonc.2022.05.031
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
231-239Commentaires et corrections
Type : CommentIn
Informations de copyright
Copyright © 2022 Elsevier B.V. All rights reserved.
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.