MRI-Based Quantification of Intratumoral Heterogeneity for Predicting Progression-Free Survival in Patients with Lung Cancer Brain Metastasis Receiving Radiotherapy
A habitat risk model based on intratumoral heterogeneity could be a reliable biomarker for predicting PFS in patients with LCBM receiving radiotherapy.
Authors
- Guang Yang (ORCID: https://orcid.org/0000-0001-8942-427X)
- Wei Guo (ORCID: https://orcid.org/0000-0001-8302-8292)
- Yang Song
- Dehua Chen (ORCID: https://orcid.org/0000-0003-3978-4394)
- Xiang Lin (ORCID: https://orcid.org/0009-0003-5331-8872)
- Yanqing Wu (ORCID: https://orcid.org/0000-0002-8714-6541)
- Lijuan Lin
Institutions
- Fujian Medical University (CN)
- First Affiliated Hospital of Fujian Medical University (CN)
- Siemens Healthcare (United States) (US)
- East China Normal University (CN)
Publication Details
- Journal
- American Journal of Neuroradiology
- Published
- 2025-10-16
- DOI
- https://doi.org/10.3174/ajnr.a8869
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00