Radiomic prediction for durable response to high‐dose methotrexate‐based chemotherapy in primary central nervous system lymphoma
This radiomic signature and integrated models have the potential to accurately predict the DR to HD-MTX-based chemotherapy in PCNSL patients, providing valuable therapeutic insights.
Authors
- Dao Zheng (ORCID: https://orcid.org/0000-0003-2493-2454)
- Qian Chen (ORCID: https://orcid.org/0000-0002-1487-5479)
- Xiaohui Ren (ORCID: https://orcid.org/0000-0001-7376-1191)
- Haoyi Li (ORCID: https://orcid.org/0000-0002-0583-3314)
- Song Lin (ORCID: https://orcid.org/0000-0002-1760-1887)
- Mingming Xiong
- Caixia Sun
- Leilei Yuan
- Ming Li
- Zhenyu Liu (ORCID: https://orcid.org/0000-0001-7559-8519)
Institutions
- Capital Medical University (CN)
- Chinese Academy of Sciences (CN)
- Beijing Institute of Genomics (CN)
- Beijing Tian Tan Hospital (CN)
- Shandong Institute of Automation (CN)
- Beijing Academy of Artificial Intelligence (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Cancer Medicine
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1002/cam4.70182
- Primary Topic
- CNS Lymphoma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- General Hospital of People’s Liberation Army
- Capital Health Research and Development of Special Fund