Short-term peri- and intra-tumoral CT radiomics to predict immunotherapy response in advanced non-small cell lung cancer
The results demonstrated that a model based on multiple time points outperformed one based on a single time point. The delta-radiomics model has been proved a noninvasive approach for assessing the response of advanced NSCLC patients to immunotherapy and facilitates individualized treatment decision making.
Authors
- Shengdong Nie (ORCID: https://orcid.org/0000-0001-7825-4455)
- Zhiqiang Han (ORCID: https://orcid.org/0000-0001-6654-3735)
- Lei Chen (ORCID: https://orcid.org/0009-0003-4906-5163)
- Ting Wang (ORCID: https://orcid.org/0000-0001-6766-5830)
- Jing Gong
- Zezhou Wang (ORCID: https://orcid.org/0000-0002-8051-9595)
- Yajia Gu
- Xiao Bao
Institutions
- Shanghai Medical College of Fudan University (CN)
- University of Shanghai for Science and Technology (CN)
- Fudan University Shanghai Cancer Center (CN)
- Shanghai Pulmonary Hospital (CN)
Publication Details
- Journal
- Translational Lung Cancer Research
- Published
- 2025-03-01
- DOI
- https://doi.org/10.21037/tlcr-24-973
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.72