Enhancing intracranial efficacy prediction of osimertinib in non-small cell lung cancer: a novel approach through brain MRI radiomics
This study demonstrates that MRI radiomics can effectively predict the intracranial efficacy of osimertinib in NSCLC patients with brain metastases. This approach holds promise for assisting clinicians in personalizing treatment strategies.
Authors
- Xin Tang (ORCID: https://orcid.org/0000-0001-7577-5087)
- Zhi‐gang Yang (ORCID: https://orcid.org/0000-0001-9341-7697)
- Wen‐Lei Qian
- Wei‐Feng Yan (ORCID: https://orcid.org/0000-0003-0653-7688)
- Yuan Li (ORCID: https://orcid.org/0000-0001-9004-5146)
- Pei‐Lun Han
Institutions
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2024-08-30
- DOI
- https://doi.org/10.3389/fneur.2024.1399983
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Sichuan Province