Multi-parametric dual-energy CT radiomics for differentiating laryngeal benign and malignant lesions
This study highlights the value of DECT-based radiomics model for differentiating laryngeal benign from malignant lesions. Moreover, the combination of radiomic, clinical features and DECT findings demonstrated good performance for differential diagnosing in laryngeal lesions.
Authors
- Fei Duan (ORCID: https://orcid.org/0000-0002-7469-7184)
- Yin Wang (ORCID: https://orcid.org/0000-0002-4749-3768)
- Guang Yang (ORCID: https://orcid.org/0000-0001-8942-427X)
- Zuohua Tang (ORCID: https://orcid.org/0000-0003-4687-5905)
- Jingfeng Cheng (ORCID: https://orcid.org/0000-0002-1873-4083)
- Yang Zhan (ORCID: https://orcid.org/0000-0001-5381-6677)
- Chengxiu Zhang
- Peng Wang (ORCID: https://orcid.org/0000-0002-2080-5215)
- Yuzhe Wang (ORCID: https://orcid.org/0000-0002-8950-4728)
Institutions
- Jiangnan University (CN)
- Sun Yat-sen University (CN)
- Fudan University (CN)
- Eye & ENT Hospital of Fudan University (CN)
- Wuxi Fourth People's Hospital (CN)
- Zhongshan Hospital (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
- East China Normal University (CN)
Publication Details
- Journal
- British Journal of Radiology
- Published
- 2025-12-17
- DOI
- https://doi.org/10.1093/bjr/tqaf311
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00