Clinical trial · Interventional
Feasibility Analysis of LCD-SLA 3D Printing Technology for Overall Surgical Planning of Liver Malignant Tumors
- 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)
This study aims to evaluate the effectiveness of 3D-printed liver models in hepatobiliary surgery planning compared to traditional digital simulations. It is conducted in three phases: 1. Development and validation of 35 3D-printed liver models, focusing on timeliness, cost, precision, and alignment with digital planning tools. 2. Optimization of the 3D reconstruction process using deep learning to enhance model accuracy and efficiency. 3. A retrospective comparative analysis of surgical outcomes in 64 patients, with one group using 3D-printed models and the other using digital simulations for surgical planning.
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Hepatobiliary Surgery | — | UNRESOLVED | — |
| Liver Diseases | — | UNRESOLVED | — |
Interventions
Interventions (2)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| 3D-Printed Liver Model | Device | — | UNRESOLVED |
| Digital Simulation-Based Surgical Planning | Procedure | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- type
- EXPERIMENTAL
- label
- 3D Printed Model Group (3DP)
- description
- Participants in this group will receive surgical planning based on physically developed and validated 3D-printed liver models from Phase One. The surgical procedures will be guided by these 3D-printed models.
- interventionNames
- Device: 3D-Printed Liver Model
- type
- EXPERIMENTAL
- label
- 3D Virtual Model Group (3DV)
- description
- Participants in this group will receive surgical planning based on digital simulations using the fastest AI-assisted segmentation method with manual adjustments from Phase Two. The surgical procedures will be guided by these digital simulations.
- interventionNames
- Procedure: Digital Simulation-Based Surgical Planning
Primary outcomes (6)
- measure
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 75 Years
Show eligibility criteria text
Inclusion Criteria: * Age: Patients aged 18-75 years * Gender: Both male and female patients * Diagnosis: Confirmed diagnosis of hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (iCCA), or perihilar cholangiocarcinoma (pCCA) * Surgical Candidates: Patients who are candidates for hepatectomy * Liver Function: Patients with adequate liver function (Child-Pugh A or B) * Informed Consent: Patients who provide written informed consent Exclusion Criteria: * Non-Surgical Candidates: Patients not eligible for surgery due to advanced disease or comorbidities * Pregnancy: Pregnant or breastfeeding women * Severe Comorbidities: Patients with severe cardiovascular, respiratory, renal, or other systemic diseases * Previous Liver Surgery: Patients with a history of previous liver resection or transplantation * Uncontrolled Infections: Patients with uncontrolled active infections * Inability to Comply: Patients unable to comply with study procedures or follow-up
References
Publications (0)
Data not yet available