Evidence map›Paper›PMID 41937985›Full record

ArticleWorld journal of radiology2026

Role of metal artifact reduction software in computed tomography angiography of lower limb metallic prosthesis: A retrospective study.

Ahmad M Mounir, Ali H Elmokadem, Gehad A H Saleh, Ahmed El-Morsy, Ghada H Abd El-Raouf

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Article in World journal of radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Ahmad M MounirDepartment of Radiology, Mansoura University, Mansoura 35516, Egypt. ahmedmounir@mans.edu.eg.
Ali H ElmokademDepartment of Radiology, Mansoura University, Mansoura 35516, Egypt.
Gehad A H SalehDepartment of Radiology, Mansoura University, Mansoura 35516, Egypt.
Ahmed El-MorsyFaculty of Medicine, Department of Diagnostic and Interventional Radiology, Mansoura University, Mansoura 35511, Egypt.
Ghada H Abd El-RaoufDepartment of Radiology, Mansoura University, Mansoura 35516, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetal artifacts significantly limit the diagnostic quality of computed tomography (CT) algorithm in patients with lower limb metallic prostheses. Single-energy metal artifact reduction (SEMAR) algorithms have been developed to address this limitation.

aimTo evaluate the effects of SEMAR algorithm on image quality characteristics of lower limb CT algorithm (CTA) (artifact reduction, signal-to-noise ratio [SNR] and inter-observer agreement) in patients with metallic prostheses.

methodsTwenty-two patients (14 males, 8 females; median age 54 years) with unilateral or bilateral metal lower limb prostheses or screws underwent lower limb CTA on a 128-slice multi-detector CT scanner. Images were reconstructed with and without SEMAR algorithm. Three radiologists independently assessed subjective image quality using standardized scoring systems. Quantitative analysis included measurement of SNR and contrast-to-noise ratio in arterial and soft tissue regions of interest.

resultsApplication of SEMAR significantly improved SNR in two of three observers (

conclusionSEMAR algorithm significantly reduces metal artifacts from lower limb fixation prostheses without compromising vessel contrast, improving visualization of periprosthetic vascular structures and enhancing diagnostic capability of CTA examinations.

Indexed as

Computed tomography angiographyImage qualityLower limb prosthesisMetal artifact reductionSingle energy metal artifact reduction

Identifiers

PMID41937985
PMCPMC13047632

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