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.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Enrollment
100
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
Obtain the patient's CT/MRI images and determine the definitive surgical path based on the two-dimensional images.
Opertation duration
The duration from the start to the end of the surgery.
Time frame: Until the end of the surgey
Blood loss
Blood loss during the operation
Time frame: Until the end of the surgey
R0 resection rate
The 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
Time frame: Until the day the official pathology report comes out, an average of two weeks
Surgical complications
The incidence rate of surgical complications
Time frame: Until three months after the surgery
Postoperative hospital stay.
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.
Time frame: Until the day the patient is discharged, an average of one week.
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