1. Usefulness of slice encoding for metal artifact correction (SEMAC) technique for reducing metal artifacts after total knee arthroplasty
- Author
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Mathias Nittka, Henning Roehl, Frederic Bludau, Ulrike I. Attenberger, Ahmed Jawhar, Michael Kostrzewa, and Miriam Reichert
- Subjects
Male ,Knee Joint ,Periprosthetic ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,Metal Artifact ,0302 clinical medicine ,medicine ,Humans ,Orthopedics and Sports Medicine ,Arthroplasty, Replacement, Knee ,Aged ,Retrospective Studies ,Aged, 80 and over ,030222 orthopedics ,Medial collateral ligament ,Artifact (error) ,business.industry ,Middle Aged ,Magnetic Resonance Imaging ,Tendon ,medicine.anatomical_structure ,Metals ,Posterior cruciate ligament ,Ligament ,Female ,Surgery ,Patella ,Artifacts ,Knee Prosthesis ,Nuclear medicine ,business - Abstract
To evaluate the usefulness of a novel MRI sequence strategy in the assessment of the periprosthetic anatomical structures after primary total knee arthroplasty. Two MR sequences were retrospectively compared for the imaging of 15 patients with implanted cruciate-retaining/fixed-bearing TKAs (DePuy, PFC Sigma): a slice encoding sequence for metal artifact correction (SEMAC) and a standard sequence. Images were acquired on a 1.5-T system. The degree of artifact reduction was assessed using several qualitative (Likert-type scale) (artifact size, distorsion, blur, image quality, periprosthetic bone, posterior cruciate ligament, lateral collateral ligament, medial collateral ligament, patella tendon, popliteal vessels) and quantitative (artifact volume, Insall–Salvati index, length of patella/tendon, prosthesis dimensions) parameters by blinded reads performed by four investigators. The SEMAC sequences were statistically compared with the standard sequence using Wilcoxon test. Additionally, the intraclass correlation coefficient (ICC) for interobserver agreement was calculated. Higher levels of blurring were found with SEMAC compared to standard sequences (p
- Published
- 2018
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