The study aims to improve preoperative evaluation of liver resection volume in patients undergoing major hepatectomies. Accurate prediction of the planned resection and the future liver remnant (FLR) is critical to minimize the risk of postoperative liver failure, which is associated with increased morbidity and mortality. Conventional imaging-based volumetry may have limited accuracy. This study investigates the use of individualized 3D liver models combined to enhance visualization and volumetric analysis of liver anatomy and resection boundaries. Patients are recruited in the liver outpatient clinic and, upon consent, preoperative 3D models are created using Medics 3D. During surgery, the planned resection is guided by the individualized 3D models. Postoperatively, the resected specimen undergoes CT-based volumetry to compare the predicted resection volume from the 3D model with the actual volume. Routine postoperative follow-up is conducted. The study aims to optimize surgical planning, enhance the accuracy of future liver remnant prediction.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
OTHER
Masking
NONE
Enrollment
25
Preoperatively, every patient in this study will undergo an individualized 3D reconstruction of their liver to perform accurate volumetry.
Medical University of Graz - Department of Surgery, Division of General, Visceral and Transplantationsurgery
Graz, Austria
Assessment of the preoperative volumetry of the liver portion planned for resection using a 3D model and comparison with the postoperative resection specimen volume.
Time frame: Approximately 2-3 weeks are required between preoperative volumetry and postoperative volumetry comparison.
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