Algorithm for Resecting Hepatocellular Carcinoma in the Caudate Lobe.

Abstract

To propose an algorithm for resecting hepatocellular carcinoma (HCC) in the caudate lobe. Owing to a deep location, resection of HCC originating in the caudate lobe is challenging, but a plausible guideline enabling safe, curable resection remains unknown. We developed an algorithm based on sublocation or size of the tumor and liver function to guide the optimal procedure for resecting HCC in the caudate lobe, consisting of 3 portions (Spiegel, process, and caval). Partial resection was prioritized to remove Spiegel or process HCC, while total resection was aimed to remove caval HCC depending on liver function. According to the algorithm, we performed total (n = 43) or partial (n = 158) resections of the caudate lobe for HCC in 174 of 201 patients (compliance rate, 86.6%), with a median blood loss of 400 (10-4530) mL. Postoperative morbidity (Clavien grade ≥III b) and mortality rates were 3.0% and 0%, respectively. After a median follow-up of 2.6 years (range, 0.5-14.3), the 5-year overall and recurrence-free survival rates were 57.3% and 15.3%, respectively. Total and partial resection showed no significant difference in overall survival (71.2% vs 54.0% at 5 yr; P = 0.213), but a significant factor in survival was surgical margin (58.0% vs 45.6%, P = 0.034). The major determinant for survival was vascular invasion (hazard ratio 1.7, 95% CI 1.0-3.1, P = 0.026). Our algorithm-oriented strategy is appropriate for the resection of HCC originating in the caudate lobe because of the acceptable surgical safety and curability.