A clinical–radiomics nomogram based on multisequence MRI for predicting the outcome of patients with advanced nasopharyngeal carcinoma receiving chemoradiotherapy
This clinical-radiomics nomogram based on multisequence MRI offers a noninvasive, effective tool for predicting the outcome of advanced NPC patients receiving chemoradiotherapy, promoting individualized treatment approaches.
Authors
- Cancan Zhao
- Ying Meng (ORCID: https://orcid.org/0000-0001-8865-652X)
- Muye Zhou
- Liu-Cheng Chen (ORCID: https://orcid.org/0000-0002-8066-2789)
- Zhiyuan Wang (ORCID: https://orcid.org/0000-0002-9255-5382)
- Xuelian Wang (ORCID: https://orcid.org/0000-0002-4647-3693)
- Yan Zhang (ORCID: https://orcid.org/0000-0001-9456-4023)
Institutions
- Bengbu Medical College (CN)
- First Affiliated Hospital of Bengbu Medical College (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-11-20
- DOI
- https://doi.org/10.3389/fonc.2024.1460426
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Bengbu Medical College