Strategies for improving image quality in prostate MRI.

Autor: Coelho FMA; Department of Radiology, Hospital Israelita Albert Einstein, 627 Albert Einstein Ave., Sao Paulo, SP, 05652-900, Brazil., Baroni RH; Department of Radiology, Hospital Israelita Albert Einstein, 627 Albert Einstein Ave., Sao Paulo, SP, 05652-900, Brazil. ronaldo.baroni@einstein.br.
Jazyk: angličtina
Zdroj: Abdominal radiology (New York) [Abdom Radiol (NY)] 2024 Dec; Vol. 49 (12), pp. 4556-4573. Date of Electronic Publication: 2024 Jun 28.
DOI: 10.1007/s00261-024-04396-4
Abstrakt: Prostate magnetic resonance imaging (MRI) stands as the cornerstone in diagnosing prostate cancer (PCa), offering superior detection capabilities while minimizing unnecessary biopsies. Despite its critical role, global disparities in MRI diagnostic performance persist, stemming from variations in image quality and radiologist expertise. This manuscript reviews the challenges and strategies for enhancing image quality in prostate MRI, spanning patient preparation, MRI unit optimization, and radiology team engagement. Quality assurance (QA) and quality control (QC) processes are pivotal, emphasizing standardized protocols, meticulous patient evaluation, MRI unit workflow, and radiology team performance. Additionally, artificial intelligence (AI) advancements offer promising avenues for improving image quality and reducing acquisition times. The Prostate-Imaging Quality (PI-QUAL) scoring system emerges as a valuable tool for assessing MRI image quality. A comprehensive approach addressing technical, procedural, and interpretative aspects is essential to ensure consistent and reliable prostate MRI outcomes.
(© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
Databáze: MEDLINE
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