Predicting the risk of lymph node metastasis in colon cancer: development and validation of an online dynamic nomogram based on multiple preoperative data
Based on various simple parameters collected preoperatively, the online dynamic nomogram can accurately predict LNM risk in CC patients. The high discriminative ability and significant improvement of NRI and IDI indicate that the model has potential clinical application value.
Authors
- Boram Ha (ORCID: https://orcid.org/0000-0002-4331-7679)
- Qiang Xu (ORCID: https://orcid.org/0000-0002-3530-9855)
- Tengqi Wang (ORCID: https://orcid.org/0000-0002-1781-1163)
- Longlian Deng
- Riletu En
- Tao Liu (ORCID: https://orcid.org/0000-0002-4340-5767)
- Haibin Sun (ORCID: https://orcid.org/0009-0005-0129-253X)
- Lifan Che
Institutions
- Hebei Medical University (CN)
- Third Hospital of Hebei Medical University (CN)
- Hetao College (CN)
- Baotou Medical College (CN)
- Inner Mongolia Medical University (CN)
Publication Details
- Journal
- BMC Gastroenterology
- Published
- 2025-05-08
- DOI
- https://doi.org/10.1186/s12876-025-03958-0
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00