Predicting the recurrence risk of liver metastasis from colorectal cancer: a study based on preoperative CT intratumoral and peritumoral radiomics features
Preoperative CT-based radiomics features extracted from intra-tumoral (ROI<sub>Intra</sub>) and peritumoral (ROI<sub>Intra+Peri2mm</sub>, ROI<sub>Intra+Peri4mm</sub>, and ROI<sub>Intra+Peri6mm</sub>) regions can effectively predict recurrence risk in CRLM patients.
Authors
- Peiheng Li (ORCID: https://orcid.org/0000-0002-5642-6778)
- Yong Wei (ORCID: https://orcid.org/0000-0002-1034-649X)
- Dongying Zhang
- Mingmei Xue
- Chenguang Li (ORCID: https://orcid.org/0000-0002-2783-2259)
- Fangfang Guo
Institutions
- First Affiliated Hospital of Xinxiang Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-09-23
- DOI
- https://doi.org/10.3389/fonc.2025.1662354
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00