Comparison Between Pre-operative Radiologic Findings and the Actual Operative Findings of the Graft in Adult Living Donor Liver Transplantation

Fully automated assessment of the future liver remnant in a blood-free setting via CT before major hepatectomy via deep learning

OBJECTIVES

To develop and validate a deep learning (DL) model for automated segmentation of hepatic and portal veins, and apply the model in blood-free future liver remnant (FLR) assessments via CT before major hepatectomy.

METHODS

3-dimensional 3D U-Net models were developed for the automatic segmentation of hepatic veins and portal veins on contrast-enhanced CT images. A total of 170 patients treated from January 2018 to March 2019 were included. 3D U-Net models were trained and tested under various liver conditions. The Dice similarity coefficient (DSC) and volumetric similarity (VS) were used to evaluate the segmentation accuracy. The use of quantitative volumetry for evaluating resection was compared between blood-filled and blood-free settings and between manual and automated segmentation.

RESULTS

The DSC values in the test dataset for hepatic veins and portal veins were 0.66 ± 0.08 (95% CI: (0.65, 0.68)) and 0.67 ± 0.07 (95% CI: (0.66, 0.69)), the VS values were 0.80 ± 0.10 (95% CI: (0.79, 0.84)) and 0.74 ± 0.08 (95% CI: (0.73, 0.76)), respectively No significant differences in FLR, FLR% assessments, or the percentage of major hepatectomy patients were noted between the blood-filled and blood-free settings (p = 0.67, 0.59 and 0.99 for manual methods, p = 0.66, 0.99 and 0.99 for automated methods, respectively) according to the use of manual and automated segmentation methods.

CONCLUSION

Fully automated segmentation of hepatic veins and portal veins and FLR assessment via blood-free CT before major hepatectomy are accurate and applicable in clinical cases involving the use of DL.

CRITICAL RELEVANCE STATEMENT

Our fully automatic models could segment hepatic veins, portal veins, and future liver remnant in blood-free setting on CT images before major hepatectomy with reliable outcomes.

KEY POINTS

Fully automatic segmentation of hepatic veins and portal veins was feasible in clinical practice. Fully automatic volumetry of future liver remnant (FLR)% in a blood-free setting was robust. No significant differences in FLR% assessments were noted between the blood-filled and blood-free settings.

Percutaneous radiological biliary interventions after failed endoscopic treatment in living liver donors: experience of a high-volume transplantation center

This study aimed to evaluate the role of percutaneous radiological treatments for biliary complications (BCs) in donors after living donor liver transplantation (LDLT). We retrospectively evaluated BCs in donors involved in 1839 LDLTs between May 2009 and January 2019 at our centre. BCs were classified according to the modified Clavien-Dindo classification (MCDC). Patients treated with percutaneous transhepatic biliary intervention (PTBI) were identified. Complications requiring endoscopic, interventional or surgical treatment (MCDC grades III-IV) involved 123 (6.6%) donors. Complications comprised leakage, n = 73 (60%); stricture, n = 36 (29%); and both leakage and stricture, n = 14 (11%). Percutaneous drainage of biloma formations under ultrasound guidance was performed in 57 donors, endoscopic treatment in 83 and PTBI in 14. Of 83 patients who received endoscopic treatment, 13 were referred for PTBI due to failure or uncannulation. Eight of 14 patients were successfully treated with PTBI. Six patients were treated with a rendezvous procedure combining percutaneous and surgical treatments. In 13 patients, no BCs were developed after catheter or stent removal. In donors with BCs, the treatment should progress from the least invasive method to surgery. In some patients, percutaneous radiological treatments eliminate the need for surgery or can guide surgical treatment.