Tumor habitat-based MRI features assessing early response in locally advanced nasopharyngeal carcinoma
The combined model that integrates the ITH score with clinical factors exhibited superior performance in predicting early response following concurrent chemoradiotherapy in patients with LA-NPC.
Authors
- Yuchen Zhu (ORCID: https://orcid.org/0000-0001-5148-8569)
- Yinjiao Fei (ORCID: https://orcid.org/0000-0003-3354-4082)
- Mengxing Wu
- Weilin Xu (ORCID: https://orcid.org/0000-0001-5476-5541)
- Kexin Shi
- Shu Zhou (ORCID: https://orcid.org/0000-0003-4208-0312)
- Xinchen Sun (ORCID: https://orcid.org/0000-0002-7512-779X)
- Yurong Li (ORCID: https://orcid.org/0000-0001-5819-7895)
- Jinling Yuan
- Ding Zhou (ORCID: https://orcid.org/0000-0001-6395-5873)
- Jinyan Luo
- Lei Qiu (ORCID: https://orcid.org/0009-0009-5939-3199)
Institutions
- Jiangsu Province Hospital (CN)
- Second Affiliated Hospital of Zhejiang University (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Oral Oncology
- Published
- 2024-08-15
- DOI
- https://doi.org/10.1016/j.oraloncology.2024.106980
- Citations
- 29
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 11.72
Funders
- Government of Jiangsu Province
- Jiangsu Provincial Department of Human Resources and Social Security
- Jiangsu Provincial Medical Center
- Project of Qingdao Leading Talents in Entrepreneurship and Innovation