Visualizing the vascular-cellular microenvironment in lung cancer brain metastasis via multiparametric fusion of DCE-MRI and DWI
A DCE-MRI-DWI "Vascular-Cellular Microenvironment Visualization Model" was established, revealing distinct profiles: high microvascular density/permeability in LUAD-BM, low permeability/medium cellularity in LUSC-BM, and high cellularity/abnormal contrast kinetics in SCLC-BM. This validates multimodal imaging for characterizing LCBM heterogeneity and provides insights into tumor angiogenesis, cellular density, and BBB regulation, supporting microenvironment-targeted therapy.
Authors
- Jun Zhou (ORCID: https://orcid.org/0000-0003-4799-8165)
- Zhijian Pei (ORCID: https://orcid.org/0000-0003-2280-4694)
- Zhenlin Li (ORCID: https://orcid.org/0000-0002-3706-4505)
- Ruipeng Liang
- Haotian Wang (ORCID: https://orcid.org/0000-0002-7677-8930)
- Yonglong Li (ORCID: https://orcid.org/0000-0001-8211-421X)
- Chunrong Wu (ORCID: https://orcid.org/0000-0002-8635-5106)
- Xiufu Zhang (ORCID: https://orcid.org/0000-0001-9707-6594)
Institutions
- Jiangjin Central Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-10-21
- DOI
- https://doi.org/10.3389/fonc.2025.1645589
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- Chongqing University
- Centre Scientifique et Technique du Bâtiment