Ryan Justin R, Ghosh Reena, Sturgeon Greg, Ali Arafat, Arribas Elsa, Braden Eric, Chadalavada Seetharam, Chepelev Leonid, Decker Summer, Huang Yu-Hui, Ionita Ciprian, Lee Joonhyuk, Liacouras Peter, Parthasarathy Jayanthi, Ravi Prashanth, Sandelier Michael, Sommer Kelsey, Wake Nicole, Rybicki Frank, Ballard David
Webster Foundation 3D Innovations Lab, Rady Children's Hospital-San Diego, San Diego, CA, USA.
Department of Neurological Surgery, UC San Diego Health, La Jolla, CA, USA.
3D Print Med. 2024 Jan 29;10(1):3. doi: 10.1186/s41205-023-00199-3.
The use of medical 3D printing (focusing on anatomical modeling) has continued to grow since the Radiological Society of North America's (RSNA) 3D Printing Special Interest Group (3DPSIG) released its initial guideline and appropriateness rating document in 2018. The 3DPSIG formed a focused writing group to provide updated appropriateness ratings for 3D printing anatomical models across a variety of congenital heart disease. Evidence-based- (where available) and expert-consensus-driven appropriateness ratings are provided for twenty-eight congenital heart lesion categories.
A structured literature search was conducted to identify all relevant articles using 3D printing technology associated with pediatric congenital heart disease indications. Each study was vetted by the authors and strength of evidence was assessed according to published appropriateness ratings.
Evidence-based recommendations for when 3D printing is appropriate are provided for pediatric congenital heart lesions. Recommendations are provided in accordance with strength of evidence of publications corresponding to each cardiac clinical scenario combined with expert opinion from members of the 3DPSIG.
This consensus appropriateness ratings document, created by the members of the RSNA 3DPSIG, provides a reference for clinical standards of 3D printing for pediatric congenital heart disease clinical scenarios.
自北美放射学会(RSNA)3D打印特别兴趣小组(3DPSIG)于2018年发布其初始指南和适宜性评级文件以来,医学3D打印(专注于解剖建模)的应用持续增长。3DPSIG成立了一个重点写作小组,以提供各种先天性心脏病3D打印解剖模型的更新适宜性评级。针对28种先天性心脏病变类别提供了基于证据(如有)和专家共识驱动的适宜性评级。
进行了结构化文献检索,以识别所有使用与小儿先天性心脏病适应症相关的3D打印技术的相关文章。每项研究均由作者进行审查,并根据已发表的适宜性评级评估证据强度。
为小儿先天性心脏病变提供了3D打印何时合适的基于证据的建议。根据与每种心脏临床情况相对应的出版物的证据强度,并结合3DPSIG成员的专家意见提供建议。
这份由RSNA 3DPSIG成员创建的共识适宜性评级文件,为小儿先天性心脏病临床情况的3D打印临床标准提供了参考。