Testing 3D Liver Models to Predict How Much Liver Is Removed in Surgery
Tests 3D liver models for planning surgery in adults having major liver resections.
Plain-language title generated from the registry record
Registry title: 3D Liver Volumetry
Key facts
- Where
- Graz, AustriaSee the site
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you 18 years old or older?
- Are you planning to have, or have you had, an operation to remove part of your liver?
Source: NCT07297615, who can take part
Where in Austria
- Medical University of Graz - Department of Surgery, Division of General, Visceral and TransplantationsurgeryGraz, AustriaNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Medical University of Graz
- Trial code
- NCT07297615
- Record updated
- 17 February 2026
- Original description
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.Read full original descriptionShow less
Accuracy of Individualized 3D Reconstruction in Predicting Liver Resection Volume: A Prospective Study
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.
Inclusion: Adult patients (≥18 years) undergoing open or minimally invasive major liver resection at the Clinical Division of General, Visceral and Transplant Surgery who provide written informed consent prior to participation will be included.
Exclusion: Patients unable to provide informed consent will be excluded; Minor resections; Contraindications to MRI.