Noninvasive Prediction of Programmed Cell Death Protein-Ligand 1 Expression in Locally Advanced Non-small Cell Lung Cancer by 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography-Based Metabolic Habitats: A Multicenter Radiomic and
The metabolic habitat model based on <sup>18</sup>F-FDG PET/CT enables noninvasive prediction of PD-L1 expression in LA-NSCLC. Its interpretability is enhanced by spatial habitat distribution, thereby advancing its potential for clinical translation.
Authors
- Yu Ji (ORCID: https://orcid.org/0000-0001-6078-0852)
- Jing Zheng (ORCID: https://orcid.org/0000-0002-8510-0275)
- Dexin Yu (ORCID: https://orcid.org/0000-0002-3430-4817)
- Kai Cui (ORCID: https://orcid.org/0000-0001-8406-6549)
- Yong Cui (ORCID: https://orcid.org/0000-0003-1934-0809)
- Zhengjun Dai (ORCID: https://orcid.org/0000-0003-3039-7718)
- Juntao Zhang (ORCID: https://orcid.org/0000-0002-6871-4494)
- Haojie Ge
- Jiaqi Wang (ORCID: https://orcid.org/0009-0008-7293-3156)
Institutions
- General Electric (Spain) (ES)
- Second Hospital of Shandong University (CN)
- Art Innovation (Netherlands) (NL)
- Hua Medicine (China) (CN)
- Qilu Hospital of Shandong University (CN)
- Shandong First Medical University (CN)
- Dawu County People's Hospital (CN)
Publication Details
- Journal
- Annals of Surgical Oncology
- Published
- 2025-08-29
- DOI
- https://doi.org/10.1245/s10434-025-18139-2
- Citations
- 5
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 6.80