Radiomics based on MRI and 18F-FDG PET/CT predicts response to EGFR-TKI therapy based on primary NSCLC and brain metastasis
This study indicated that radiomics features from PET/CT and MRI of primary lesion and BM can be predictive of response to EGFR-TKI. The constructed nomogram may be considered as a non-invasive tool to stratify which patient can benefit from the EGFR-TKI therapy.
Authors
- Liming Guan
- Ying Fan (ORCID: https://orcid.org/0000-0002-2925-507X)
- Xiran Jiang (ORCID: https://orcid.org/0000-0002-9640-6368)
- Chunna Yang
- Peng Zhao (ORCID: https://orcid.org/0000-0001-6216-3858)
- Yan Wang (ORCID: https://orcid.org/0000-0002-4751-0708)
- Hongbo Wang (ORCID: https://orcid.org/0000-0001-8530-2339)
- Zekun Wang (ORCID: https://orcid.org/0000-0001-8631-7022)
- Yiyao Sun
- Yanjun Hu (ORCID: https://orcid.org/0000-0002-0365-5788)
- Yan Liu (ORCID: https://orcid.org/0000-0003-1698-5783)
- Wenyan Jiang (ORCID: https://orcid.org/0009-0004-6647-605X)
- Mingchen Jiang
Institutions
- Fudan University (CN)
- First Hospital of China Medical University (CN)
- Shenyang 242 Hospital (CN)
- Liaoning Cancer Hospital & Institute (CN)
- China Medical University (CN)
Publication Details
- Journal
- Neuro-Oncology Advances
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1093/noajnl/vdaf100
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00