Because of the shortage of deceased-donor livers for transplantation, living-donor liver transplantation (LDLT) has become an indispensible treatment strategy for end-stage liver disease. The critical prerequisite for LDLT is the maximal safety of healthy donors. From June 1996 to November 2010, a total of 827 completed donor hepatectomies were performed in our center. We analyzed donor morbidity associated with LDLT. There was no donor mortality. No complications were observed in 744 (90.0%) donors, and 83 (10.0%) donors experienced complications. Wound complications were most common, occurring in 48 (5.8%) patients. According to a modified Clavien classification, grade I, grade II, grade IIIa, and grade IIIb complications were experienced in 56 (67.5%), 2 (2.4%), 15 (18.1%), and 10 (12.0%) donors, respectively. Surgical or interventional management was successful in all grade IIIa and grade IIIb donors. The incidence of biliary complications was significantly higher in younger donors. Donor morbidity did not decrease below the attained level even after time had passed. This study demonstrates the safety of donor hepatectomy. Complications were relatively minor and easily controlled. The incidence of biliary complications and donor age was inversely correlated. The procedural experience of the surgeons was not associated with the donor complication rate.
Several models have been developed using conventional regression approaches to extend the criteria for liver transplantation (LT) in hepatocellular carcinoma (HCC) beyond the Milan criteria. We aimed to develop a novel model to predict tumor recurrence after LT by adopting artificial intelligence (MoRAL-AI). This study included 563 patients who underwent LT for HCC at three large LT centers in Korea. Derivation (n = 349) and validation (n = 214) cohorts were independently established. The primary outcome was time-to-recurrence after LT. A MoRAL-AI was derived from the derivation cohort with a residual block-based deep neural network. The median follow-up duration was 74.7 months (interquartile-range, 18.5–107.4); 204 patients (36.2%) had HCC beyond the Milan criteria. The optimal model consisted of seven layers including two residual blocks. In the validation cohort, the MoRAL-AI showed significantly better discrimination function (c-index = 0.75) than the Milan (c-index = 0.64), MoRAL (c-index = 0.69), University of California San Francisco (c-index = 0.62), up-to-seven (c-index = 0.50), and Kyoto (c-index = 0.50) criteria (all p < 0.001). The largest weighted parameter in the MoRAL-AI was tumor diameter, followed by alpha-fetoprotein, age, and protein induced by vitamin K absence-II. The MoRAL-AI had better predictability of tumor recurrence after LT than conventional models. The MoRAL-AI can also evolve with further data.
21 February 2013 in World Journal of Surgical Oncology
Background: Hepatectomy is the standard treatment for HCC. However, large HCC poses a difficult challenge because of the technical complexity of surgical resection and the fear of postoperative hepatic decompensation. We analyzed the outcome and prognostic factors in patients with large hepatocellular carcinoma (HCC ≥10 cm) after surgery. Methods: We retrospectively investigated the medical records of 91 patients who had undergone hepatectomy between January 2006 and June 2010. A survival analysis was performed utilizing the Kaplan-Meier method and prognostic factors were evaluated using Cox regression analysis. Results: Of the 91 patients evaluated, most tumors were associated with hepatitis B virus (HBV). The median tumor size was 12.3 cm (range, 10 to 21 cm), with microvascular invasion present in most patients. The postoperative mortality rate was 2.2%. The median disease-free survival and overall survival were six months and 41 months. The one-year, two-year, and three-year disease-free survival rates were 33.5%, 29.3%, and 18.8%, respectively. The one-year, two-year, and three-year overall survival rates were 73.9%, 63.7%, and 54.8%, respectively. Of the 89 surviving patients, 69 patients (77.5%) developed HCC recurrence during the mean follow-up period of 23.4 ± 15.9 months. On multivariate analysis, the statistically significant factors that predicted HCC recurrence were ALP ≥ 80 IU/mL (P = 0.009) and intrahepatic metastases (P = 0.013). Conclusions: Our study suggests that preoperative ALP levels (≥ 80 IU/L) and intrahepatic metastases could be utilized to monitor and predict recurrence in HCC patients.