Clinical trial · Interventional
Application of 3D Printing in Laparoscopic Surgery of Liver Tumors
NCT03744624CI-TRIAL-00060312unknownN/AClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
To explore the utility of personalized 3D printed liver models in planning and navigating laparoscopic resections.
Conditions
Conditions (3)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Hepatocellular Carcinoma | Hepatocellular Carcinoma | ONTOLOGY_EXACT | 0.98 |
| Liver Cancer | Malignant Liver Neoplasm | CURATED_EXACT | 0.92 |
| Liver Metastases | Liver Neoplasm | PROBABILISTIC | 0.70 |
Interventions
Interventions (2)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| 3D printing model | Device | — | UNRESOLVED |
| Laparoscopic liver resection | Procedure | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- type
- EXPERIMENTAL
- label
- With 3D Model
- description
- Patients in this arm will undergo laparoscopic liver resection with prior planning utilizing both 3D printed model and computed tomography (or/and magnetic resonance imaging)
- interventionNames
- Procedure: Laparoscopic liver resection
- Device: 3D printing model
- type
- ACTIVE_COMPARATOR
- label
- Without 3D Model
- description
- Patients in this arm will undergo laparoscopic liver resection with prior planning utilizing only standard medical imaging computed tomography (or/and magnetic resonance imaging) without development of 3D printed model
- interventionNames
- Procedure: Laparoscopic liver resection
Primary outcomes (3)
- measure
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Age over 18 * Patient qualified to undergo liver tumor resection (either primary of metastatic; both benign and malignant lesions) * Quality of imaging (CT or MRI or PET (positron emission tomography)/CT) satisfactory to develop 3D models * Laparoscopic approach * Informed consent Exclusion Criteria: * Open approach * Technical limitations to model development * No informed consent
References
Publications (3)
- BACKGROUNDWitowski JS, Pedziwiatr M, Major P, Budzynski A. Cost-effective, personalized, 3D-printed liver model for preoperative planning before laparoscopic liver hemihepatectomy for colorectal cancer metastases. Int J Comput Assist Radiol Surg. 2017 Dec;12(12):2047-2054. doi: 10.1007/s11548-017-1527-3. Epub 2017 Jan 31. PMID 28144830
- RESULTWitowski J, Wake N, Grochowska A, Sun Z, Budzynski A, Major P, Popiela TJ, Pedziwiatr M. Investigating accuracy of 3D printed liver models with computed tomography. Quant Imaging Med Surg. 2019 Jan;9(1):43-52. doi: 10.21037/qims.2018.09.16. PMID 30788245
- RESULTWitowski J, Budzynski A, Grochowska A, Ballard DH, Major P, Rubinkiewicz M, Zlahoda-Huzior A, Popiela TJ, Wierdak M, Pedziwiatr M. Decision-making based on 3D printed models in laparoscopic liver resections with intraoperative ultrasound: a prospective observational study. Eur Radiol. 2020 Mar;30(3):1306-1312. doi: 10.1007/s00330-019-06511-2. Epub 2019 Nov 26. PMID 31773294