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Clinical Study Of Child-Pugh Classification Combined With ICG R15,Fibroscan And Liver 3D Printing Technique For Safety Of Hepatocarcinoma Resection

Posted on:2019-01-05Degree:MasterType:Thesis
Country:ChinaCandidate:S XiongFull Text:PDF
GTID:2334330542995332Subject:Surgery
Abstract/Summary:PDF Full Text Request
Objective To explore the preliminary clinical study of the safety of liver cancer resection with Child-Pugh classification combined with ICG R15,Fibroscan and Liver 3D printing technique.Methods Ninety-five cases of primary liver cancer patients underwent hepatectomy in July 2016 to October 2017 as the study 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 hepatic functional compensation and mild hepatic functional decompensation was 68.75% and 64.52%,respectively,which were 84.91% and 84.21% for 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).Conclusions The new liver scoring system combined with liver 3D printing technology can be more comprehensive and accurate than Child-Pugh classification Preoperative assessment of primary liver cancer patients,and improve the safety of hepatectomy surgery.It has a certain clinical value.
Keywords/Search Tags:Liver cancer, Child-Pugh classification, Indocyanine green, Fibroscan, 3D printing technique
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