Habitat imaging radiomics increases the accuracy of a nomogram for predicting Ki-67-positivity in laryngeal squamous cell carcinoma
HI radiomics features were more accurate for predicting Ki-67-positivity in LSCC than conventional radiomics. However, the combination of those features with conventional radiomics and the degree of differentiation in a predictive nomogram yields the most accurate model for Ki-67-positivity.
Authors
- Yun Liang (ORCID: https://orcid.org/0000-0002-2631-6172)
- Xiaoqing Hu
- Siyu Yang (ORCID: https://orcid.org/0000-0002-4115-7915)
- Zengyu Jiang
- Jing Xie (ORCID: https://orcid.org/0000-0002-3194-9273)
- Cheng Wang (ORCID: https://orcid.org/0000-0002-1834-2119)
- Sheng He (ORCID: https://orcid.org/0000-0003-2918-1549)
- Gang Liang (ORCID: https://orcid.org/0000-0001-6691-505X)
- Yumeng Dong (ORCID: https://orcid.org/0000-0001-9190-5902)
Institutions
- Shanxi Medical University (CN)
- First Hospital of Shanxi Medical University (CN)
Publication Details
- Journal
- European Journal of Radiology Open
- Published
- 2025-05-16
- DOI
- https://doi.org/10.1016/j.ejro.2025.100659
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36