Improving prediction accuracy of radiation-induced temporal lobe injury in nasopharyngeal carcinoma using ADC-based deep learning and dosiomics
The fusion model based on pretreatment ADC map and dose distribution provided a promising way to predict RTLI in NPC patients receiving IMRT, which can support clinicians in making decisions to develop individualized treatment plans and implement preventive measures.
Authors
- Shasha Huang (ORCID: https://orcid.org/0000-0003-4487-3463)
- Guanyu Yang (ORCID: https://orcid.org/0000-0002-6087-2180)
- Hongliang YU
- Jiawei Zhou
- Li Sun
- Baozhou Sun
- Junyi Liu
- Xia He
- Lirong Wu
- Ting Qiu
- Li Wang
- Han Gao
- Yinsu Zhu
- Yang Li
Institutions
- Baylor College of Medicine (US)
- Jiangsu Cancer Hospital (CN)
- Second Affiliated Hospital of Nanjing Medical University (CN)
- Southeast University (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2026-02-06
- DOI
- https://doi.org/10.1186/s12885-026-15599-x
- Primary Topic
- Head and Neck Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00