Development and Validation of a Nomogram for Predicting Lymph Node Metastasis in Incidental Gallbladder Cancer before
Jingbin Wang1, Yuanfang Sun2, Yanhao Sun3
1Department of General Surgery, First Central Hospital of Baoding, Baoding, China.
Summary
A new nomogram effectively predicts lymph node metastasis in incidental gallbladder cancer (IGBC) patients before surgery. This tool aids surgeons in risk stratification and optimizing treatment strategies for better patient outcomes.
Area of Science:
- Oncology
- Surgical Oncology
- Diagnostic Imaging
Background:
- Incidental gallbladder cancer (IGBC) diagnosis occurs unexpectedly post-cholecystectomy.
- Accurate preoperative prediction of lymph node (LN) metastasis is crucial for guiding re-resection strategies in IGBC.
- Current methods for predicting LN metastasis in IGBC are challenging.
Purpose of the Study:
- To develop and validate a nomogram for predicting LN metastasis in IGBC patients before re-resection.
- To identify independent risk factors for LN metastasis in IGBC.
Main Methods:
- Retrospective analysis of 745 IGBC patients who underwent re-resection.
- Collected clinical, laboratory, imaging, and histopathological data.
- Utilized logistic regression, ROC curve analysis, calibration plots, and DCA for nomogram development and validation.
Main Results:
- Identified tumor size > 1 cm, advanced T stage, poor differentiation, positive LN status on CT, and elevated CEA and CA19-9 as independent predictors of LN metastasis.
- The nomogram achieved an AUC of 0.827, indicating good discriminative ability.
- Calibration plots and DCA confirmed the nomogram's predictive accuracy and clinical usefulness.
Conclusions:
- The developed nomogram is an effective tool for predicting LN metastasis in IGBC patients preoperatively.
- This tool can aid clinicians in risk stratification and optimizing surgical strategies.
- Improved prediction of LN metastasis may lead to better patient outcomes in IGBC management.
