CT-based liver peritumoural radiomics features predict hepatic metastases sources as gastrointestinal or non-gastrointestinal
Peritumoural radiomics features showed a correlation with source of liver metastases. The radiomics features from liver peritumoural arterial and venous phases CT were promising in differentiating the source of hepatic metastases from GI vs non-GI primary tumours.
Authors
- Chao Hou (ORCID: https://orcid.org/0000-0003-1234-8744)
- Martin R. Prince (ORCID: https://orcid.org/0000-0002-9883-0584)
- Fang Wang (ORCID: https://orcid.org/0000-0002-5344-6933)
- Lei Chen (ORCID: https://orcid.org/0000-0002-9582-922X)
- Jing Ye
- Xianfu Luo (ORCID: https://orcid.org/0000-0001-6506-1267)
- Wenjian Wang (ORCID: https://orcid.org/0000-0001-9459-3764)
- Xin Yang (ORCID: https://orcid.org/0000-0003-2019-6568)
Institutions
- Cornell University (US)
- United Imaging Healthcare (China) (CN)
- Northern Jiangsu People's Hospital (CN)
Publication Details
- Journal
- British Journal of Radiology
- Published
- 2024-12-24
- DOI
- https://doi.org/10.1093/bjr/tqae248
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Government of Jiangsu Province