MR radiomics unveils neoadjuvant chemo-responsiveness with insights into selective treatment de-intensification in HPV-positive oropharyngeal carcinoma
The MR-based radiomic models and prognostic models efficiently discriminate among patients with different NAC response and survival risk, which help candidate selection in HPV-positive OPSCC with regard to personalized treatment de-intensification.
Authors
- Qinghai Ji (ORCID: https://orcid.org/0000-0002-4889-8097)
- Jing Gong
- Xueguan Lu (ORCID: https://orcid.org/0000-0001-9829-3312)
- Xin Zhou (ORCID: https://orcid.org/0000-0002-7184-1101)
- Wenjiao Lyu (ORCID: https://orcid.org/0000-0002-2176-7169)
- Tingting Xu (ORCID: https://orcid.org/0000-0002-5920-808X)
- Shenglin Huang (ORCID: https://orcid.org/0000-0003-1279-0794)
- Xiayun He (ORCID: https://orcid.org/0000-0002-1652-3012)
- Lin Zhu (ORCID: https://orcid.org/0000-0003-2463-1686)
- Cuihong Wang (ORCID: https://orcid.org/0000-0002-8676-6722)
- Hongmei Ying
- Chunying Shen
- Yajia Gu
- Chaosu Hu
- Yu Wang (ORCID: https://orcid.org/0009-0005-0661-311X)
Institutions
- Fudan University Shanghai Cancer Center (CN)
Publication Details
- Journal
- Oral Oncology
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1016/j.oraloncology.2024.107049
- Citations
- 8
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 3.23