医学
前列腺
磁共振成像
前列腺癌
医学物理学
图像质量
放射科
质量(理念)
多参数磁共振成像
人工智能
计算机科学
癌症
内科学
哲学
认识论
图像(数学)
作者
Yue Lin,Enis C. Yilmaz,Mason J. Belue,Barış Türkbey
标识
DOI:10.1016/j.ejrad.2023.110757
摘要
Abstract
Multiparametric magnetic resonance imaging (mpMRI) plays a vital role in prostate cancer diagnosis and management. With the increase in use of mpMRI, obtaining the best possible quality images has become a priority. The Prostate Imaging Reporting and Data System (PI-RADS) was introduced to standardize and optimize patient preparation, scanning techniques, and interpretation. However, the quality of the MRI sequences depends not only on the hardware/software and scanning parameters, but also on patient-related factors. Common patient-related factors include bowel peristalsis, rectal distension, and patient motion. There is currently no consensus regarding the best approaches to address these issues and improve the quality of mpMRI. New evidence has been accrued since the release of PI-RADS, and this review aims to explore the key strategies which aim to improve prostate MRI quality, such as imaging techniques, patient preparation methods, the new Prostate Imaging Quality (PI-QUAL) criteria, and artificial intelligence on prostate MRI quality.
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