Intratumoral and peritumoral radiomics of MRIs predicts pathologic complete response to neoadjuvant chemoimmunotherapy in patients with head and neck squamous cell carcinoma
A nomogram developed based on intratumoral and peritumoral MRI radiomics features outperformed CPS, a widely employed biomarker, in predict pCR to NACI for HNSCC, which would provide incremental value in treatment regimen determination.
Authors
- Renhui Chen (ORCID: https://orcid.org/0000-0003-2313-8857)
- Ping Han (ORCID: https://orcid.org/0000-0001-6097-7794)
- Xuekui Liu (ORCID: https://orcid.org/0000-0002-6635-1095)
- Peiliang Lin (ORCID: https://orcid.org/0000-0002-9859-8199)
- Songhua Fan (ORCID: https://orcid.org/0000-0002-5456-2725)
- Xiaoming Huang (ORCID: https://orcid.org/0000-0002-5859-533X)
- Faya Liang (ORCID: https://orcid.org/0000-0002-9515-9238)
- Chenjia Zhang
- Yong Li
- Ming Gao (ORCID: https://orcid.org/0000-0001-7892-8050)
- Huan Wan (ORCID: https://orcid.org/0000-0003-2920-4288)
- Huiqian Wu
- Wenqian Xie
- Gui Cheng
Institutions
- Sun Yat-sen University (CN)
- Sun Yat-sen Memorial Hospital (CN)
- Sun Yat-sen University Cancer Center (CN)
Publication Details
- Journal
- Journal for ImmunoTherapy of Cancer
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1136/jitc-2024-009616
- Citations
- 35
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 14.15
Funders
- National Natural Science Foundation of China
- Guangzhou Municipal Science and Technology Project