Preoperative predictors for non-resectability in perihilar cholangiocarcinoma

World Journal of Surgical Oncology(2024)

引用 0|浏览8
暂无评分
摘要
Introduction Explorative laparotomy without subsequent curative-intent liver resection remains a major clinical problem in the treatment of perihilar cholangiocarcinoma (pCCA). Thus, we aimed to identify preoperative risk factors for non-resectability of pCCA patients. Material and methods Patients undergoing surgical exploration between 2010 and 2022 were eligible for the analysis. Separate binary logistic regressions analyses were used to determine risk factors for non-resectability after explorative laparotomy due to technical (tumor extent, vessel infiltration) and oncological (peritoneal carcinomatosis, distant nodal or liver metastases)/liver function reasons. Results This monocentric cohort comprised 318 patients with 209 (65.7%) being surgically resected and 109 (34.3%) being surgically explored [explorative laparotomy: 87 (27.4%), laparoscopic exploration: 22 (6.9%)]. The median age in the cohort was 69 years (range 60–75) and a majority had significant comorbidities with ASA-Score ≥ 3 (202/318, 63.5%). Statistically significant ( p < 0.05) risk factors for non-resectability were age above 70 years (HR = 3.76, p = 0.003), portal vein embolization (PVE, HR = 5.73, p = 0.007), and arterial infiltration > 180° (HR = 8.05 p < 0.001) for technical non-resectability and PVE (HR = 4.67, p = 0.018), arterial infiltration > 180° (HR = 3.24, p = 0.015), and elevated CA 19–9 (HR = 3.2, p = 0.009) for oncological/liver-functional non-resectability. Conclusion Advanced age, PVE, arterial infiltration, and elevated CA19-9 are major risk factors for non-resectability in pCCA. Preoperative assessment of those factors is crucial for better therapeutical pathways. Diagnostic laparoscopy, especially in high-risk situations, should be used to reduce the amount of explorative laparotomies without subsequent liver resection.
更多
查看译文
关键词
Klatskin tumor,Non-resectability,Peritoneal neoplasms,Staging laparoscopy
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要