Using non-Gaussian diffusion models to distinguish benign from malignant head and neck lesions
Multiple diffusion parameters derived from FROC and CTRW models effectively differentiate between benign and malignant head and neck lesions, reflecting tumor heterogeneity. Among them, α<sub>CTRW</sub> showed the best diagnostic performance, making it a promising non-invasive imaging biomarker for quantitative assessment and differential diagnosis of head and neck tumors, thereby improving diagnostic accuracy.
Authors
- Qing Yang (ORCID: https://orcid.org/0000-0002-8545-6335)
- Hua Li (ORCID: https://orcid.org/0000-0003-2153-2500)
- Mengxiao Liu (ORCID: https://orcid.org/0000-0002-5076-4960)
- Yifan Tang (ORCID: https://orcid.org/0000-0002-0779-9148)
- Q. J. Guo (ORCID: https://orcid.org/0009-0000-1247-8050)
- Xueting Ding
- J. Lin
- Jun Liu (ORCID: https://orcid.org/0000-0001-6766-5611)
Institutions
- Anqing City Hospital (CN)
- Siemens Healthcare (United States) (US)
- First Hospital of Lanzhou University (CN)
- Lanzhou University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-05-29
- DOI
- https://doi.org/10.3389/fonc.2025.1581637
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Anhui Medical University