Clinical trial · Observational
Value of 3D Printing for Comprehension of Liver Surgical Anatomy
NCT03153332CI-TRIAL-00031206completedClinicalTrials.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 our knowledge, it has not been analyze whether 3D printed liver model would improve the perception of a given liver tumor or the precision of operation planning in liver surgery. We design this prospective controlled trial to test whether the 3D-printed patient specific liver model could be more informative than standard MDCT (multi-row detector computed tomography ) and 3D visualization system in predicting the surgical anatomy of liver.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Liver Cancer | Malignant Liver Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| surgical residents' comprehension of the hepatic anatomy | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (3)
- label
- MDCT group
- description
- The MDCT images of seven hepatic tumors were loaded on software to uniform study conditions, allowing both axial and coronal scans visualization.
- interventionNames
- Other: surgical residents' comprehension of the hepatic anatomy
- label
- 3D visualization system group
- description
- The 3D virtual reconstructions of seven hepatic tumors were loaded on the visualization software which enables the rotation of the virtual model.
- interventionNames
- Other: surgical residents' comprehension of the hepatic anatomy
- label
- 3D printing group
- description
- 3D-printed models of seven hepatic tumors were created based on MDCT images, participants were allowed to freely handle them.
- interventionNames
Eligibility
Eligibility (as posted)
- Sex
- All
Show eligibility criteria text
Inclusion Criteria: * Surgical residents * Must had experiences with MDCT and 3D visualization system Exclusion Criteria: * Non surgical residents * No experiences with MDCT or 3D visualization system
References
Publications (6)
- RESULTMarescaux J, Clement JM, Tassetti V, Koehl C, Cotin S, Russier Y, Mutter D, Delingette H, Ayache N. Virtual reality applied to hepatic surgery simulation: the next revolution. Ann Surg. 1998 Nov;228(5):627-34. doi: 10.1097/00000658-199811000-00001. PMID 9833800
- RESULTLamade W, Glombitza G, Fischer L, Chiu P, Cardenas CE Sr, Thorn M, Meinzer HP, Grenacher L, Bauer H, Lehnert T, Herfarth C. The impact of 3-dimensional reconstructions on operation planning in liver surgery. Arch Surg. 2000 Nov;135(11):1256-61. doi: 10.1001/archsurg.135.11.1256. PMID 11074877
- RESULTZein NN, Hanouneh IA, Bishop PD, Samaan M, Eghtesad B, Quintini C, Miller C, Yerian L, Klatte R. Three-dimensional print of a liver for preoperative planning in living donor liver transplantation. Liver Transpl. 2013 Dec;19(12):1304-10. doi: 10.1002/lt.23729. Epub 2013 Oct 21. PMID 23959637
- RESULTIgami T, Nakamura Y, Hirose T, Ebata T, Yokoyama Y, Sugawara G, Mizuno T, Mori K, Nagino M. Application of a three-dimensional print of a liver in hepatectomy for small tumors invisible by intraoperative ultrasonography: preliminary experience. World J Surg. 2014 Dec;38(12):3163-6. doi: 10.1007/s00268-014-2740-7. PMID 25145821
- RESULTKusaka M, Sugimoto M, Fukami N, Sasaki H, Takenaka M, Anraku T, Ito T, Kenmochi T, Shiroki R, Hoshinaga K. Initial experience with a tailor-made simulation and navigation program using a 3-D printer model of kidney transplantation surgery. Transplant Proc. 2015 Apr;47(3):596-9. doi: 10.1016/j.transproceed.2014.12.045. PMID 25891694
- RESULTMarconi S, Pugliese L, Botti M, Peri A, Cavazzi E, Latteri S, Auricchio F, Pietrabissa A. Value of 3D printing for the comprehension of surgical anatomy. Surg Endosc. 2017 Oct;31(10):4102-4110. doi: 10.1007/s00464-017-5457-5. Epub 2017 Mar 9. PMID 28281114