Transforaminal Interbody Fusion

Author(s):  
Yong Soo Choi ◽  
Sang-Ho Lee
2010 ◽  
Vol 22 (3) ◽  
pp. 119-121
Author(s):  
Daniel Gastambide ◽  
F. Jacquot ◽  
P. Moreau ◽  
P. Finiels

2012 ◽  
Vol 19 (1) ◽  
pp. 12-21 ◽  
Author(s):  
Aleksandr Vladimirovich Krut'ko ◽  
A V Krutko

Results of comparative study of posterior interbody fusion (PLIF) and transforaminal interbody fusion (TLIF) in degenerative lumbar spine pathology are presented. Total number of patients was 101. In 47 patients (1st group) transpedicular fixation, decompression and interbody fusion with one cage (TLIF) was performed. In 54 patients (2nd group) transpedicular fixation via posteromedial approach, decompression of intracanal neurovascular structures and interbody fusion with two interbody implants (PLIF) was applied. Complex evaluation of surgical treatment results was performed in 52 patients in 6-12 months after surgery. It was shown that application of either of the techniques resulted in 95-98% cases of interbody block formation. Differential approach to application of those interbody fusion techniques and the advantages of TLIF over PLIF, i.e. simplicity and higher safety of performance, lower intraoperative blood loss and duration of surgical intervention, were presented.


2018 ◽  
Vol 45 (videosuppl1) ◽  
pp. V4
Author(s):  
Laura A. Snyder

Minimally invasive transforaminal lumbar interbody fusion (MIS TLIF) is a well-accepted procedure with good outcomes. Robotics has the potential to augment these outcomes. This video demonstrates and discusses how surgeons can implement the use of a robotic device in an MIS TLIF workflow. The planning software and robotic arm guidance allow the surgeon to use intraoperative CT to guide the placement of pedicle screws in an MIS TLIF with optimal trajectory and decreased radiation. As robotic technology continues to improve, developing safe workflows that integrate robotics with currently well-established techniques should improve patient outcomes.The video can be found here: https://youtu.be/rJWOa6XVLW0.


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