ORIGINAL RESEARCH article
Front. Oncol.
Sec. Head and Neck Cancer
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1625487
This article is part of the Research TopicAdvancements in Personalized Medicine for Head and Neck Cancer: Molecular-based Approaches to Treatment and CareView all 7 articles
Distinguishing Atypical Parotid Carcinomas and Pleomorphic Adenomas Based on Multiphasic Computed Tomography Radiomics Nomogram: A Multicenter Study
Provisionally accepted
Lin-Wen Huang1Jian-Chao Liang2Pei-Kun Cai3Zhi-Ping Cai4Mei-Lin Chen1Jia-Wei Pan1Yongfeng Wen5Yun-Jun Yang1Zhen-Yu Xu6
Yabin Jin1
Wei-jun Huang1
Zhifeng Xu1*- 1First People's Hospital of Foshan, Foshan, China
- 2Zhuhai People's Hospital, Zhuhai, China
- 3The First People's Hospital of Shunde, Shunde, China
- 4The Maoming People's Hospital, Maoming, China
- 5The Third Affiliated Hospital of Sun Yat-Sen Uriversity-Yuedong Hospital, Meizhou, China
- 6Foshan Fosun Chancheng Hospital, Foshan, China
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Objective: This study aimed to develop, validate, and test a comprehensive radiomics prediction model using clinical data and contrast-enhanced multiphasic computed tomography (CT) scans for differentiating between atypical parotid carcinomas (PCAs) and pleomorphic adenomas (PAs) within a multicenter cohort. testing sets (p > 0.05). Based on recall and F1-score evaluations in the independent testing set, modelA+P was selected for integration with clinical risk factors to develop a radiomics nomogram. This nomogram demonstrated excellent diagnostic performance, achieving AUCs of 1.000 (training), 0.854 (validation) and 0.783 (independent testing), accuracies of 1.000, 0.864 and 0.750, and F1-scores of 1.000, 0.914 and 0.826, respectively. Key discriminative features -cluster shade, runlength non-uniformity and first-order mean, extracted via wavelet or exponential filters -significantly differentiated atypical PCAs from PAs.The CT-based radiomics nomogram, supplemented by machine learning, effectively differentiates atypical PCAs from PAs, presenting a non-invasive diagnostic tool that could guide treatment decisions and reduce the need for invasive procedures.
Keywords: Radiomics, nomogram, Multiphasic CT, Parotid carcinoma, Pleomorphic adenoma
Received: 09 May 2025; Accepted: 11 Jul 2025.
Copyright: © 2025 Huang, Liang, Cai, Cai, Chen, Pan, Wen, Yang, Xu, Jin, Huang and Xu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Zhifeng Xu, First People's Hospital of Foshan, Foshan, China
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