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

doi:10.4329/wjr.v18.i3.118119

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World Journal of Radiology

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1949-8470

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Retrospective Study

Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Radiol. Mar 28, 2026; 18(3): 118119
Published online Mar 28, 2026. doi: 10.4329/wjr.v18.i3.118119

Table 5 Intraclass correlation coefficient for inter-observer agreement

Measurement	ICC	Absolute agreement	95%CI for ICC	P value
SNR
With MAR	0.751	Good	0.570-0.877	< 0.001
Without MAR	0.460	Poor	0.205-0.697	< 0.001
Reference	0.790	Good	0.628-0.898	< 0.001
CNR
With MAR	0.764	Good	0.488-0.809	< 0.001
Without MAR	0.487	Poor	0.230-0.717	< 0.001
Reference	0.810	Good	0.684-0.916	< 0.001

SNR: Signal-to-noise ratio; MAR: Metal artifact reduction; CNR: Contrast-to-noise ratio; ICC: Intraclass correlation coefficient; CI: Confidence interval.

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Citation: Mounir AM, Elmokadem AH, Saleh GAH, El-Morsy A, Abd El-Raouf GH. Role of metal artifact reduction software in computed tomography angiography of lower limb metallic prosthesis: A retrospective study. World J Radiol 2026; 18(3): 118119
URL: https://www.wjgnet.com/1949-8470/full/v18/i3/118119.htm
DOI: https://dx.doi.org/10.4329/wjr.v18.i3.118119

Mounir AM, Elmokadem AH, Saleh GAH, El-Morsy A, Abd El-Raouf GH. Role of metal artifact reduction software in computed tomography angiography of lower limb metallic prosthesis: A retrospective study. World J Radiol 2026; 18(3): 118119 [PMID: 41937985 DOI: 10.4329/wjr.v18.i3.118119]

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