Abstract
Purpose: This study assesses preoperative prognostic factors in intrahepatic cholangiocarcinoma (ICC) to improve risk assessment and inform clinical decisions, focusing on the role of lymph node dissection (LND). Methods: We conducted a retrospective analysis of 234 patients who underwent surgery for ICC at a single institution between 2010 and 2019. Prognostic factors affecting overall survival (OS) were identified through univariate and multivariable logistic regression analyses. Patients were categorized into high-, intermediate-, and low-risk groups based on the number of adverse prognostic factors. Survival curves were compared between the groups that underwent LND and those that did not within each risk category. Results: Of the 234 patients, 138 (59.0%) underwent LND, and 96 (41.0%) did not (non-LND). Significant prognostic factors included preoperative elevation of CEA (>5 ng/mL), CA 19-9 (>37 U/mL), tumor multiplicity, tumor size >5 cm, and extrahepatic invasion. These factors were associated with adverse OS (hazard ratio ranging from 1.69 to 2.54). High-risk patients had significantly lower median OS compared to intermediate and low-risk groups in both LND and non-LND cohorts, but no significant difference in median OS between LND and non-LND groups within each risk category was observed. Conclusion: Preoperative prognostic factors such as CEA, CA 19-9, tumor size, and multiplicity are vital for assessing patient risk in ICC. These factors guide clinical decision-making and emphasize the need for targeted treatment strategies, including the consideration of LND, particularly in high-risk patients. The study underscores the importance of these prognostic indicators in enhancing treatment outcomes.
| Original language | English |
|---|---|
| Pages (from-to) | 345-351 |
| Number of pages | 7 |
| Journal | Annals of Surgical Treatment and Research |
| Volume | 108 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 2025 |
Keywords
- Cholangiocarcinoma
- Lymph node excision
- Prognosis
- Risk factors
- Survival