Implant placement accuracy in total knee arthroplasty: validation of a CT-based measurement technique
Author(s) -
Valentina Campanelli,
Rocio Lozano,
Hosna Akhlaghpour,
Abheetinder S. Brar,
David Maislin,
Alexander J. Nedopil,
J. Zuhars
Publication year - 2020
Publication title -
quantitative imaging in medicine and surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.766
H-Index - 21
eISSN - 2223-4292
pISSN - 2223-4306
DOI - 10.21037/qims.2020.01.02
Subject(s) - cadaveric spasm , femur , implant , medicine , total knee arthroplasty , fiducial marker , 3d model , arthroplasty , surgical planning , 3d printed , orthodontics , computer science , surgery , artificial intelligence , biomedical engineering , radiology
The primary goal of many computer-assisted surgical systems like robotics for total knee arthroplasty (TKA) is to accurately execute a preoperative plan. To assess whether the preoperative plan was executed accurately in 3D, one option is to compare the planned and postoperative implant placement using a preoperative and postoperative CT scan of the patient's limb. This comparison requires a 3D-to-3D surface registration between the preoperative and postoperative 3D bone models and between the planned and postoperative 3D implants. Hence, the present study aimed at validating this measurement technique by determining (I) the anatomical regions that result in the lowest 6-degree of freedom (DoF) errors for 3D-to-3D surface registration of bone models, (II) the 6-DoF errors for 3D-to-3D surface registration of the implant models, and (III) the 6-DoF of the complete measurement technique.
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