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AI Based Metal Artifact Reduction-PMAR
Sponsor: Philips Clinical & Medical Affairs Global
Summary
The study is going to enroll about 220 consecutive patients with screws in lumber spine after internal fixation surgery who underwent follow-up assessment using Incisive CT according to the department standard of care. Retrospective data sets will be reconstructed into conventional image, the O-MAR algorithm, and Precise-MAR. Three blinded, independent radiologists evaluate both qualitative and quantitative analysis of image quality of surrounding tissue and artifact. Statistical analysis included the Friedman test, Wilcoxon signed-rank test, and Levene test.
Official title: Clinical Application of AI Based Metal Artifact Reduction and Its Comparison With Orthopedic Metal Artifact Reduction (O-MAR) and Conventional Image
Key Details
Gender
All
Age Range
18 Years - 80 Years
Study Type
OBSERVATIONAL
Enrollment
220
Start Date
2026-06-15
Completion Date
2026-12-31
Last Updated
2026-06-02
Healthy Volunteers
Not specified