PURPOSE: To test the hypothesis that computer-controlled virtual planning will prohibit tunnel malpositioning and minimize variance in tunnel placement in anterior cruciate ligament (ACL) reconstruction, thereby providing us with a more accurate and reproducible procedure. TYPE OF STUDY: In vitro cadaver study. METHODS: Three orthopaedic surgeons with different levels of experience in ACL reconstruction were asked to position tunnel placement K-wires in a predefined "optimal" position using both computer-assisted surgery (CAS) and conventional techniques in 12 fresh-frozen cadaver knees. Virtual cylindrical 8-mm grafts were virtualized as the computer system outlined an impingement area and visualized graft elongation. CAS positioning and conventional techniques were compared between surgeons and correlated to experience level. RESULTS: The difference in virtual planning was 5.02 mm (SD, 2.40; range, 1.77 to 9.64 mm) between the tibial tunnels and 4.61 mm (SD, 2.13; range, 2.06 to 8.42 mm) between the femoral tunnels. The mean difference between the CAS and conventional procedures was 6.20 mm (SD, 2.49; range, 3.00 to 10.39 mm) for the femoral tunnel and 6.46 mm (SD, 2.27; range, 2.65 to 10.47 mm) for the tibia tunnel. The 2 less-experienced surgeons were responsible for 3 cases of impingement when using a conventional procedure. No elongation or impingement was seen when using CAS. CONCLUSIONS: This cadaver study shows that computer assisted planning may reduce intersurgical variance. CLINICAL RELEVANCE: Computer navigation and virtual ligament reconstruction constitute a good arthroscopic surgery teaching tool. This technique enables residents and less experienced surgeons to control positioning and limit complications caused by tunnel misplacement.
PURPOSE: To test the hypothesis that computer-controlled virtual planning will prohibit tunnel malpositioning and minimize variance in tunnel placement in anterior cruciate ligament (ACL) reconstruction, thereby providing us with a more accurate and reproducible procedure. TYPE OF STUDY: In vitro cadaver study. METHODS: Three orthopaedic surgeons with different levels of experience in ACL reconstruction were asked to position tunnel placement K-wires in a predefined "optimal" position using both computer-assisted surgery (CAS) and conventional techniques in 12 fresh-frozen cadaver knees. Virtual cylindrical 8-mm grafts were virtualized as the computer system outlined an impingement area and visualized graft elongation. CAS positioning and conventional techniques were compared between surgeons and correlated to experience level. RESULTS: The difference in virtual planning was 5.02 mm (SD, 2.40; range, 1.77 to 9.64 mm) between the tibial tunnels and 4.61 mm (SD, 2.13; range, 2.06 to 8.42 mm) between the femoral tunnels. The mean difference between the CAS and conventional procedures was 6.20 mm (SD, 2.49; range, 3.00 to 10.39 mm) for the femoral tunnel and 6.46 mm (SD, 2.27; range, 2.65 to 10.47 mm) for the tibia tunnel. The 2 less-experienced surgeons were responsible for 3 cases of impingement when using a conventional procedure. No elongation or impingement was seen when using CAS. CONCLUSIONS: This cadaver study shows that computer assisted planning may reduce intersurgical variance. CLINICAL RELEVANCE: Computer navigation and virtual ligament reconstruction constitute a good arthroscopic surgery teaching tool. This technique enables residents and less experienced surgeons to control positioning and limit complications caused by tunnel misplacement.
Authors: S Aldrian; P Valentin; B Wondrasch; I Krusche-Mandl; R C Ostermann; P Platzer; M Hofbauer Journal: Knee Surg Sports Traumatol Arthrosc Date: 2013-09-14 Impact factor: 4.342
Authors: Melissa A Christino; Bryan G Vopat; Gregory R Waryasz; Alexander Mayer; Steven E Reinert; Robert M Shalvoy Journal: Orthop Rev (Pavia) Date: 2014-12-15
Authors: S Zaffagnini; F Urrizola; C Signorelli; A Grassi; T Roberti Di Sarsina; G A Lucidi; G M Marcheggiani Muccioli; T Bonanzinga; M Marcacci Journal: Knee Surg Sports Traumatol Arthrosc Date: 2016-10-15 Impact factor: 4.342