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.

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.