3D Liver Volumetry
Starting soon · Not applicable
Conditions studied: Liver Surgery, Liver Cancer, Surgical Planning, Liver, Volumetric Analysis, 3D-reconstruction
In brief
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.
Key facts
- Study ID
- NCT07297615
- Run by
- Medical University of Graz
- People needed
- 25
- Starts
- 2026-04-01
- Expected to finish
- 2028-09-30
- Last updated by the study team
- 2026-02-17
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- 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.
You may not qualify if…
- Patients unable to provide informed consent will be excluded.
- Minor resections.
- Contraindications to MRI.
Where it is running
- Medical University of Graz - Department of Surgery, Division of General, Visceral and Transplantationsurgery — Graz, Austria
Full record on ClinicalTrials.gov
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