Skip to content

SH-LPS System in Preoperative Planning for Liver Resection

SH-LPS System in Preoperative Planning for Liver Resection: a Randomized Controlled Trial

Status
Not yet recruiting
Phases
Phase 2Phase 3
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06911086
Enrollment
100
Registered
2025-04-04
Start date
2025-04-15
Completion date
2026-06-01
Last updated
2025-04-04

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

3D Printing, Liver Tumor; Surgery, Preoperative Planning

Brief summary

Effective preoperative planning and real-time intraoperative guidance are crucial for performing accurate liver resections. To address this need, the researchers have designed advanced 3D-printed liver models using a self-healing elastomer, created through the copolymerization of 4-acryloylmorpholine (ACMO) and methoxy poly(ethylene glycol) acrylate (mPEGA). These models demonstrate outstanding healing properties, swiftly restoring their structure within minutes at room temperature, and quickly recovering after incisions. In previous studies, Professor Yuhua Zhang, the project applicant, collaborated with a team from Zhejiang University to develop a 3D-printed liver model that is self-healing and reusable for repeated cutting. They preliminarily explored the feasibility of applying this model for preoperative planning and surgical training for liver surgeries. The results were published in Nature Communications (Lu et al., Nat Commun. Dec 19;14(1):8447). Building on this, the applicant intends to establish a personalized liver surgery planning system (Personalized Liver Surgery Planning System Based on High-Fidelity 3D Printed Self-Healing Liver Models, SH-LPS), which will assess, through a randomized controlled trial, the value of SH-LPS in improving liver surgery efficiency and safety.

Interventions

A three-dimensional digital model is constructed based on the patient's preoperative CT/MRI images, and a personalized physical model is created using 3D printing. This model has the ability to self-heal after being cut. Surgeons can perform multiple simulated surgeries on the model to plan the optimal surgical path before the authetic surgery

OTHERCT or MRI image

Obtain the patient's CT/MRI images and determine the definitive surgical path based on the two-dimensional images.

Sponsors

Zhejiang Cancer Hospital
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* 18-80 years old; * Patients with a resectable tumor in the liver; * Eastern Cooperative Oncology Group Performance status score: 0; * Child-Pugh classification: A; * The Laboratory test results meet the following criteria and patients can tolerate surgery: Haemoglobin≥90g/L, Neutrophil count≥1.5×10⁹/L, Platelet count≥100×10⁹/L, Aspartate or alanine aminotransferase≤5 upper limits of normal(ULN), alkaline phosphatase≤2.5 ULN, Serum albumin≥30g/L, serum creatinine\<1.5 ULN, International normalized ratios(INR)≤2 or rothrombin time(PT)exceed ULN≤6s, Creatinine clearance≥60 mL/min.

Exclusion criteria

* Patients with extra-hepatic metastasis; * Anti-cancer therapy or surgery such as radiotherapy, radiofrequency ablation in 28 days prior to the surgery; * Clinically significant bleeding or bleeding tendencies within 3 months prior to enrollment or on thrombolytic or anticoagulant therapy; * Severe lung disease (eg, acute lung disease, pulmonary fibrosis that affects lung function, interstitial lung disease), uncontrolled diabetes mellitus (fasting blood glucose ≥10 mmol/L); * There are other unsuitable candidates for clinical trials, such as mental illness or alcohol dependence.

Design outcomes

Primary

MeasureTime frameDescription
Opertation durationUntil the end of the surgeyThe duration from the start to the end of the surgery.
Blood lossUntil the end of the surgeyBlood loss during the operation

Secondary

MeasureTime frameDescription
Surgical complicationsUntil three months after the surgeryThe incidence rate of surgical complications
R0 resection rateUntil the day the official pathology report comes out, an average of two weeksThe percentage of surgical cases in which the tumor is completely removed with no microscopic residual cancer cells left at the margins of the resected tissue
Postoperative hospital stay.Until the day the patient is discharged, an average of one week.Postoperative hospital stay refers to the period of time a patient remains in the hospital after undergoing surgery, until they are medically stable and deemed fit for discharge.

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026