Multimodality deep learning radiomics predicts pathological response after neoadjuvant chemoradiotherapy for esophageal squamous cell carcinoma
After neoadjuvant chemoradiotherapy, patients with ESCC have pCR rates of about 40%. The multimodality deep learning radiomics model, could predict pCR after nCRT with high accuracy. The multimodality radiomics can be helpful in personalized treatment of esophageal cancer.
Authors
- Zhouguang Hui (ORCID: https://orcid.org/0000-0002-7189-4692)
- Xinyang Hu (ORCID: https://orcid.org/0009-0009-4490-6043)
- Jing Zhang (ORCID: https://orcid.org/0000-0001-5305-6233)
- Heping Deng
- Yunsong Liu (ORCID: https://orcid.org/0000-0001-8364-1898)
- Zhaoyang Yang (ORCID: https://orcid.org/0000-0001-8313-6998)
- Liyan Xue (ORCID: https://orcid.org/0000-0001-5185-0126)
- Zeliang Ma (ORCID: https://orcid.org/0000-0001-8250-0540)
- Yu Men (ORCID: https://orcid.org/0000-0001-6956-7425)
- Nan Bi (ORCID: https://orcid.org/0000-0001-7201-2930)
- Qingsong Pang (ORCID: https://orcid.org/0000-0002-3576-6909)
- Xin Wang (ORCID: https://orcid.org/0000-0003-1753-2786)
- Huan Zhang (ORCID: https://orcid.org/0000-0002-9838-0624)
- Yi Wang (ORCID: https://orcid.org/0000-0001-9921-0304)
- Feng Ye (ORCID: https://orcid.org/0000-0001-6130-1817)
- Qifeng Wang (ORCID: https://orcid.org/0000-0001-8544-9007)
- Xujie Sun
- Jianjun Qin
- Kuo Men (ORCID: https://orcid.org/0000-0001-9754-2241)
Institutions
- University of Electronic Science and Technology of China (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Tianjin Medical University Cancer Institute and Hospital (CN)
- National Cancer Center (US)
- Sichuan Cancer Hospital (CN)
- Beihang University (CN)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2024-11-15
- DOI
- https://doi.org/10.1186/s13244-024-01851-0
- Citations
- 17
- Primary Topic
- Esophageal Cancer Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 9.74
Funders
- Beihang University
- Chinese Academy of Medical Sciences
- University of Electronic Science and Technology of China
- Tianjin Medical University
- Peking Union Medical College
- Cancer Foundation of China
- Cancer Institute and Hospital, Chinese Academy of Medical Sciences
- National Key Research and Development Program of China