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Picture Perfect: The Status of Image Quality in Prostate MRI

Woernle, Alexandre; Englman, Cameron; Dickinson, Louise; Kirkham, Alex; Punwani, Shonit; Haider, Aiman; Freeman, Alex; ... Giganti, Francesco; + view all (2023) Picture Perfect: The Status of Image Quality in Prostate MRI. Journal of Magnetic Resonance Imaging 10.1002/jmri.29025. (In press). Green open access

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Abstract

Magnetic resonance imaging is the gold standard imaging modality for the diagnosis of prostate cancer (PCa). Image quality is a fundamental prerequisite for the ability to detect clinically significant disease. In this critical review, we separate the issue of image quality into quality improvement and quality assessment. Beginning with the evolution of technical recommendations for scan acquisition, we investigate the role of patient preparation, scanner factors, and more advanced sequences, including those featuring Artificial Intelligence (AI), in determining image quality. As means of quality appraisal, the published literature on scoring systems (including the Prostate Imaging Quality score), is evaluated. Finally, the application of AI and teaching courses as ways to facilitate quality assessment are discussed, encouraging the implementation of future image quality initiatives along the PCa diagnostic and monitoring pathway. EVIDENCE LEVEL: 3 TECHNICAL EFFICACY: Stage 3.

Type: Article
Title: Picture Perfect: The Status of Image Quality in Prostate MRI
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/jmri.29025
Publisher version: https://doi.org/10.1002/jmri.29025
Language: English
Additional information: This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. See: http://creativecommons.org/licenses/by-nc-nd/4.0/
Keywords: PI-QUAL score, image quality, magnetic resonance imaging, prostate MRI
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci
URI: https://discovery.ucl.ac.uk/id/eprint/10179160
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