Abstract: Objective： To explore the safety of liver cancer resection with Child-Pugh classification combined with indocyanine green（ICG） R15， Fibroscan and liver 3D printing technique. Methods： From September 2016 to September 2017， 95 patients with primary liver cancer（PLC） underwent resection of liver cancer in our department were selected as the research object. To evaluate by Child-Pugh classification and new classification for their pre-and-post operative hepatic reserve function， and the precision of two classifications to predict hepatic functional compensation were measured. The patients were divided into two groups： the liver 3D print group and the non-liver 3D print group. The operative time， bleeding volume， blood transfusion rate and complication rate were compared between the two groups. Results： The precision of Child-Pugh classification to predict postoperative hepatic functional compensation and mild hepatic functional decompensation was 68.75% and 64.52%， respectively， which were 84.91% and 84.21% for the new classification， respectively. In the liver 3D print group， the operative time， bleeding volume， blood transfusion rate and complication rate were(178.3±88) min， 380.0 mL， 27.87%(17/61)， 32.78%(20/61).In the non-liver 3D print group， the operative time， bleeding volume， blood transfusion rate and complication rate were(216.1±101)min、450.0 mL、38.23%(13/34)、41.18%(14/34). There was significant difference between the two groups(P＜0.05). Conclusion： The new liver reserve assessment system combined with liver 3D printing technology can be more comprehensive and accurate than Child-Pugh classification in assessment of PLC patients liver reserve function， and can improve the safety of hepatectomy surgery. It has a certain clinical value.