A PET-CT radiomics model for immunotherapy response and prognosis prediction in patients with metastatic colorectal cancer
In this study, a radiomic model based on PET/CT images was successfully constructed, which can effectively predict immunotherapy response and prognosis of mCRC patients. The model combines radiomic features, immune scores and clinical features, showing high prediction accuracy and clinical application value. In the future, the reliability and generalization ability of this model need to be further verified in larger prospective studies to promote its application in clinical practice.
Authors
- Yeda Chen
- Wenbiao Chen (ORCID: https://orcid.org/0000-0002-1028-6319)
- Peng Zhu (ORCID: https://orcid.org/0000-0002-9035-0666)
- Guoping Sun
Institutions
- Jinan University (CN)
- Southern University of Science and Technology (CN)
- Dongguan People’s Hospital (CN)
- Southern Medical University Shenzhen Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-05-23
- DOI
- https://doi.org/10.3389/fonc.2025.1568755
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China