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Three-Dimensional Printing to Guide Fenestrated/Branched TEVAR in Triple Aortic Arch Branch Reconstruction With a Curative Effect Analysis.

Dong-Sheng FuYi JinZi-He ZhaoChao WangYing-Huan ShiMing-Jie ZhouJing-Xiong ZhaoChen LiuTong QiaoChang-Jian LiuXiao-Qiang LiWen-Dong LiYuan-Hao Tong
Published in: Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists (2023)
At present the PMSG usually depend on imaging data and software calculation. With the guidance of 3D printing technology, image data could be transformed into 3D model, which has improved the accuracy of the positioning of the fenestrations. The diameter reduction technique and the internal mini cuff technique have made a complement to the slimed-down fenestration selection process and the low rate of endoleak. As reproducible study, our results may provide reference for TEVAR in different cases.
Keyphrases
  • electronic health record
  • data analysis
  • big data
  • high resolution
  • aortic dissection
  • deep learning
  • rectal cancer
  • fluorescence imaging