Strategy to select nasopharyngeal cancer patients for adaptive radiotherapy

It is recommended to re-evaluate the RT plan during the period between fractions 15 and 20 of treatment. Patients treated for NCP could be selected for ART based on the following clinical criteria at diagnosis: N3 or higher classification, presence of a bulky lymph node larger than 15 millimeters, initial BMI exceeding 28 kg/m², mean planned dose to the ipsilateral parotid glands greater than 31 Gy, cumulative volume of the parotid glands greater than 56 cc, high-dose CTV of the primary tumor greater than 93 cc, and receiving RT with no prior induction chemotherapy. Validation of these pre-treatment clinical predictors in a large, prospective dataset is essential before clinical usage.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-09-29
DOI
https://doi.org/10.3389/fonc.2025.1653060
Citations
1
Primary Topic
Advanced Radiotherapy Techniques
Type
article
Field-Weighted Citation Impact
1.88

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article

Strategy to select nasopharyngeal cancer patients for adaptive radiotherapy

Anneleen Goedgebeur, Annouschka Laenen, Sandra Nuyts, Elena Onorati et al.
1 citations
Frontiers in Oncology
Advanced Radiotherapy Techniques
1.88
article

Strategy to select nasopharyngeal cancer patients for adaptive radiotherapy

Anneleen Goedgebeur, Annouschka Laenen, Sandra Nuyts, Elena Onorati, Heleen Bollen
article en
1 citations

Abstract

It is recommended to re-evaluate the RT plan during the period between fractions 15 and 20 of treatment. Patients treated for NCP could be selected for ART based on the following clinical criteria at diagnosis: N3 or higher classification, presence of a bulky lymph node larger than 15 millimeters, initial BMI exceeding 28 kg/m², mean planned dose to the ipsilateral parotid glands greater than 31 Gy, cumulative volume of the parotid glands greater than 56 cc, high-dose CTV of the primary tumor greater than 93 cc, and receiving RT with no prior induction chemotherapy. Validation of these pre-treatment clinical predictors in a large, prospective dataset is essential before clinical usage.

Frontiers in OncologyVol. 15
Università Campus Bio-Medico (IT), Statistics Belgium (BE), VIB-KU Leuven Center for Cancer Biology (BE), KU Leuven (BE)
Fonds Wetenschappelijk Onderzoek, Vlaamse regering
Openalex Percentile: Top 12%
Advanced Radiotherapy Techniques
1.88
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Strategy to select nasopharyngeal cancer patients for adaptive radiotherapy — Anneleen Goedgebeur, Annouschka Laenen, et al. · Frontiers in Oncology (2025) | TGRS Research Map | TGRS