3D Printing in Liver Surgery: A Systematic Review

范围(计算机科学) 手术计划 3D打印 医学物理学 过程(计算) 梅德林 医学 限制 计算机科学 放射治疗计划 3d打印 外科 工程类 生物医学工程 政治学 程序设计语言 法学 放射治疗 操作系统 机械工程
作者
Jan Witowski,Jasamine Coles‐Black,Tomasz Zuzak,Michał Pędziwiatr,Jason Chuen,Piotr Major,Andrzej Budzyński
出处
期刊:Telemedicine Journal and E-health [Mary Ann Liebert, Inc.]
卷期号:23 (12): 943-947 被引量:74
标识
DOI:10.1089/tmj.2017.0049
摘要

Background:Rapid growth of three-dimensional (3D) printing in recent years has led to new applications of this technology across all medical fields. This review article presents a broad range of examples on how 3D printing is facilitating liver surgery, including models for preoperative planning, education, and simulation. Materials and Methods:We have performed an extensive search of the medical databases Ovid/MEDLINE and PubMed/EMBASE and screened articles fitting the scope of review, following previously established exclusion criteria. Articles deemed suitable were analyzed and data on the 3D-printed models—including both technical properties and desirable application—and their impact on clinical proceedings were extracted. Results:Fourteen articles, presenting unique utilizations of 3D models, were found suitable for data analysis. A great majority of articles (93%) discussed models used for preoperative planning and intraoperative guidance. PolyJet was the most common (43%) and, at the same time, most expensive 3D printing technology used in the development process. Many authors of reviewed articles reported that models were accurate (71%) and allowed them to understand patient's complex anatomy and its spatial relationships. Conclusions:Although the technology is still in its early stages, presented models are considered useful in preoperative planning and patient and student education. There are multiple factors limiting the use of 3D printing in everyday healthcare, the most important being high costs and the time-consuming process of development. Promising early results need to be verified in larger randomized trials, which will provide more statistically significant results.
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