Clinical value of intratumoral and peritumoral CT radiomics models for discriminating benign and malignant parotid gland tumors

A multiphase CT radiomics approach that fuses intratumoral features with a 2 mm peritumoral zone robustly distinguishes benign from malignant parotid gland tumors. Integration with key clinical predictors further enhances diagnostic accuracy, supporting clinical translation of the combined model for noninvasive tumor characterization.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-09-25
DOI
https://doi.org/10.3389/fonc.2025.1650943
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Clinical value of intratumoral and peritumoral CT radiomics models for discriminating benign and malignant parotid gland tumors

Cong Zhang, Min Hao, Jing Ren, Yiru Wang et al.
Frontiers in Oncology
Radiomics and Machine Learning in Medical Imaging
article

Clinical value of intratumoral and peritumoral CT radiomics models for discriminating benign and malignant parotid gland tumors

Cong Zhang, Min Hao, Jing Ren, Yiru Wang, Nan Shi
article en

Abstract

A multiphase CT radiomics approach that fuses intratumoral features with a 2 mm peritumoral zone robustly distinguishes benign from malignant parotid gland tumors. Integration with key clinical predictors further enhances diagnostic accuracy, supporting clinical translation of the combined model for noninvasive tumor characterization.

Frontiers in OncologyVol. 15
Chengde Medical University (CN), Baoding People's Hospital (CN)
Openalex Percentile: Top 61%
Radiomics and Machine Learning in Medical Imaging
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