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3D Printed Models for Liver Surgery

NCT06006338 · Status: UNKNOWN · Phase: PHASE1 · Type: INTERVENTIONAL · Enrollment: 5

Last updated 2023-09-21

No results posted yet for this study

Summary

Comprehensive preoperative planning and real-time intraoperative guidance are essential prerequisites for achieving precise liver resection. In pursuit of this goal, the investigators have developed innovative 3D printed liver models utilizing a physically crosslinked self-healing elastomer created through the copolymerization of 4-acryloylmorpholine (ACMO) and methoxy poly (ethylene glycol) acrylate (mPEGA). These printed models exhibit exceptional healing capabilities, efficiently restoring their structure within minutes at room temperature, and rapidly recovering within moments after being incised.

Herein, the investigators aim to assess the viability of employing these 3D printed liver models as instrumental tools in designing the optimal surgical approach through an iterative trial-and-error methodology. Concurrently, the investigators aim to determine whether the integration of these 3D printed models into conventional methods (contrast-enhanced CT or MRI) can enhance the safety, ease, and efficiency of hepatic resection procedures.

Conditions

Interventions

OTHER

3D Printed Model for preoperative planning

Besides conventional preoperative planning based on contrast-enhanced CT/MRI, the investigator refers to a 3D printed model to determine the optimal surgical approach via a trial-and-error method. Specifically, a personalized 3D printed model is fabricated. By referring to the printed model and CT/MRI images, a preliminary surgical trace is determined. Then, a simulation surgery is performed on the model, and surgical margin and the potential injury of vital vascular structures are evaluated. This assessment leads to the adjustment of the surgical path as necessary. The refined surgical route is then validated through a second simulation surgery performed on the healed 3D model. This iterative process is repeated multiple times, allowing for a comprehensive exploration of various approaches until the optimal surgical strategy crystallizes. Next, the investigator proceeds to execute the real surgery on the participant, meticulously adhering to the determined optimal surgical approach.

Sponsors & Collaborators

  • Zhejiang Cancer Hospital

    lead OTHER

Principal Investigators

  • Yuhua Zhang · Zhejiang Cancer Hospital

Study Design

Allocation
NA
Purpose
DEVICE_FEASIBILITY
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-09-15
Primary Completion
2023-12-31
Completion
2024-02-29

Countries

  • China

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06006338 on ClinicalTrials.gov