Prediction of local recurrence in cohorts of head and neck cancer patients after intensity-modulated radiation therapy based on CT radiomics: A double-center observation study

The clinically combined radiomics model demonstrates promising performance in predicting the prognosis of NPC patients following IMRT.

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Publication Details

Journal
Translational Oncology
Published
2025-12-03
DOI
https://doi.org/10.1016/j.tranon.2025.102622
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Prediction of local recurrence in cohorts of head and neck cancer patients after intensity-modulated radiation therapy based on CT radiomics: A double-center observation study

Guanglu Dong, Jiawei Gao, Jing Xu, Qing Liu et al.
Translational Oncology
Radiomics and Machine Learning in Medical Imaging
article

Prediction of local recurrence in cohorts of head and neck cancer patients after intensity-modulated radiation therapy based on CT radiomics: A double-center observation study

Guanglu Dong, Jiawei Gao, Jing Xu, Qing Liu, Yue Yin
article en

Abstract

The clinically combined radiomics model demonstrates promising performance in predicting the prognosis of NPC patients following IMRT.

Translational OncologyVol. 63
Harbin Medical University (CN), Second Affiliated Hospital of Harbin Medical University (CN)
Openalex Percentile: Top 47%
Radiomics and Machine Learning in Medical Imaging
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