Draw on advantages and avoid disadvantages: CT-derived individualized radiomic signature for predicting chemo-radiotherapy sensitivity in unresectable advanced non-small cell lung cancer
We developed a CT-derived 15-R<sub>i</sub>FPS, which could potentially help predict individualized therapeutic benefit of CCR in patients with LA-NSCLC. Additionally, we investigated the underlying intra-tumoral biological characteristics behind 15-R<sub>i</sub>FPS which would accelerate its clinical application. This approach could be applied to a wider range of treatments and cancer types.
Authors
- Yixin Liu (ORCID: https://orcid.org/0000-0002-5988-722X)
- Lishuang Qi (ORCID: https://orcid.org/0000-0002-2991-6544)
- Liping Yang (ORCID: https://orcid.org/0009-0007-7789-2632)
- Kezheng Wang (ORCID: https://orcid.org/0000-0001-8776-5812)
- Zhiyun Jiang
- Shilong Liu (ORCID: https://orcid.org/0000-0001-7821-9721)
- Mengyue Li (ORCID: https://orcid.org/0009-0007-4798-5651)
- Hongchao Ding
- Shichuan Xu (ORCID: https://orcid.org/0000-0003-1785-4427)
- Xing Gao
Institutions
- Harbin Medical University (CN)
- Third Affiliated Hospital of Harbin Medical University (CN)
- Heilongjiang Provincial Hospital (CN)
- Second Affiliated Hospital of Harbin Medical University (CN)
Publication Details
- Journal
- Journal of Cancer Research and Clinical Oncology
- Published
- 2024-10-10
- DOI
- https://doi.org/10.1007/s00432-024-05971-4
- 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