Impact of patient-specific three-dimensional printed liver models on hepatic surgery safety: a pilot study

HPB (Oxford). 2023 Sep;25(9):1083-1092. doi: 10.1016/j.hpb.2023.05.002. Epub 2023 May 12.

Abstract

Background: Simulation and navigation technologies in hepatobiliary surgery have been developed recently. In this prospective clinical trial, we evaluated the accuracy and utility of our patient-specific three dimensional (3D)-printed liver models as an intraoperative navigation system to ensure surgical safety.

Method: Patients requiring advanced hepatobiliary surgeries during the study period were enrolled. Three cases were selected for comparison of the computed tomography (CT) scan data of the models with the patients' original data. Questionnaires were completed after surgeries to evaluate the utility of the models. Psychological stress was used as subjective data and operation time and blood loss as objective data.

Results: Thirteen patients underwent surgery using the patient-specific 3D liver models. The difference between patient-specific 3D liver models and the original data was less than 0.6 mm in the 90% area. The 3D model assisted with intra-liver hepatic vein recognition and the definition of the cutting line. According to the post-operative subjective evaluation, surgeons found the models improved safety and reduced psychological stress during operations. However, the models did not reduce operative time or blood loss.

Conclusion: The patient-specific 3D-printed liver models accurately reflected patients' original data and were an effective intraoperative navigation tool for meticulously difficult liver surgeries.

Clinical trial registration: This study was registered in the UMIN Clinical Trial Registry (UMIN000025732).

Publication types

  • Clinical Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Hepatectomy / adverse effects
  • Hepatectomy / methods
  • Humans
  • Imaging, Three-Dimensional / methods
  • Liver Neoplasms* / surgery
  • Pilot Projects
  • Printing, Three-Dimensional*