Integration of Delta-Radiomics Features and Inflammatory Biomarkers for Neoadjuvant Chemo-Immunotherapy Efficacy in Locally Advanced Esophageal Squamous Cell Carcinoma
The multi-omics model, which is based on the delta-RFs signature and delta-SII indicators prior to surgery, effectively predicts the NACI treatment response in patients with LA-ESCC.
Authors
- Jianqun Ma (ORCID: https://orcid.org/0000-0002-7021-1298)
- Benjie Xu
- Tiantian Fan (ORCID: https://orcid.org/0000-0002-7794-5577)
- Haiquan Lu (ORCID: https://orcid.org/0000-0001-6570-7208)
- Jianguo Zhu (ORCID: https://orcid.org/0000-0003-0778-7718)
- Yang Zhou (ORCID: https://orcid.org/0000-0001-8017-1077)
- Junwei Lian (ORCID: https://orcid.org/0000-0003-0648-263X)
Institutions
- Harbin Medical University (CN)
- Third Affiliated Hospital of Harbin Medical University (CN)
Publication Details
- Journal
- Journal of Inflammation Research
- Published
- 2025-12-01
- DOI
- https://doi.org/10.2147/jir.s548314
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Harbin Medical University
- Key Research and Development Program of Heilongjiang
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Science and Technology Program of Suzhou