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Comparison of Metal Artifact Reduction Algorithms in Patients with Hip Prostheses: Virtual Monoenergetic Images vs. Orthopedic Metal Artifact Reduction.
J Korean Soc Radiol ; 83(6): 1286-1297, 2022 Nov.
Article de En | MEDLINE | ID: mdl-36545406
ABSTRACT

Purpose:

To assess the usefulness of various metal artifact reduction (MAR) methods in patients with hip prostheses. Materials and

Methods:

This retrospective study included 47 consecutive patients who underwent hip arthroplasty and dual-energy CT. Conventional polyenergetic image (CI), orthopedic-MAR (O-MAR), and virtual monoenergetic image (VMI, 50-200 keV) were tested for MAR. Quantitative analysis was performed in seven regions around the prostheses. Qualitative assessments included evaluation of the degree of artifacts and the presence of secondary artifacts.

Results:

The lowest amount of image noise was observed in the O-MAR, followed by the VMI. O-MAR also showed the lowest artifact index, followed by high-keV VMI in the range of 120-200 keV (soft tissue) or 200 keV (bone). O-MAR had the highest contrast-to-noise ratio (CNR) in regions with severe hypodense artifacts, while VMI had the highest CNR in other regions, including the periprosthetic bone. On assessment of the CI of pelvic soft tissues, VMI showed a higher structural similarity than O-MAR. Upon qualitative analysis, metal artifacts were significantly reduced in O-MAR, followed by that in VMI, while secondary artifacts were the most frequently found in the O-MAR (p < 0.001).

Conclusion:

O-MAR is the best technique for severe MAR, but it can generate secondary artifacts. VMI at high keV can be advantageous for evaluating periprosthetic bone.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Observational_studies / Qualitative_research Langue: En Journal: J Korean Soc Radiol Année: 2022 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Observational_studies / Qualitative_research Langue: En Journal: J Korean Soc Radiol Année: 2022 Type de document: Article