To accurately predict lymph node metastasis in patients with mass-forming intrahepatic cholangiocarcinoma by using CT radiomics features of tumor habitat subregions
This study successfully constructed an accurate prediction model based on habitat subregions that can effectively predict the lymph node metastasis of ICC patients preoperatively. This model is expected to provide personalized decision support to clinicians and help to optimize treatment plans and improve patient outcomes.
Authors
- Peigang Ning
- Haibo Yu (ORCID: https://orcid.org/0000-0003-1506-2346)
- Xianzhou Zhang (ORCID: https://orcid.org/0000-0003-2643-7430)
- Bo Meng (ORCID: https://orcid.org/0000-0003-4299-9310)
- Pengyu Chen (ORCID: https://orcid.org/0000-0002-6519-9079)
- Qingshan Li (ORCID: https://orcid.org/0000-0002-5564-0860)
- Zuochao Qi
- Zhenwei Yang (ORCID: https://orcid.org/0000-0001-5347-7310)
- Hao Yuan (ORCID: https://orcid.org/0000-0003-3269-3326)
Institutions
- Henan University (CN)
- Zhengzhou University (CN)
- Henan Provincial People's Hospital (CN)
- Henan Cancer Hospital (CN)
Publication Details
- Journal
- Cancer Imaging
- Published
- 2025-02-26
- DOI
- https://doi.org/10.1186/s40644-025-00842-8
- Citations
- 4
- Primary Topic
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 8.03