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PI-QUAL 版本 2:一种前列腺 MRI 图像质量评估标准化评分系统的更新。

PI-QUAL version 2: an update of a standardised scoring system for the assessment of image quality of prostate MRI.

机构信息

Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.

Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK.

出版信息

Eur Radiol. 2024 Nov;34(11):7068-7079. doi: 10.1007/s00330-024-10795-4. Epub 2024 May 24.

Abstract

Multiparametric MRI is the optimal primary investigation when prostate cancer is suspected, and its ability to rule in and rule out clinically significant disease relies on high-quality anatomical and functional images. Avenues for achieving consistent high-quality acquisitions include meticulous patient preparation, scanner setup, optimised pulse sequences, personnel training, and artificial intelligence systems. The impact of these interventions on the final images needs to be quantified. The prostate imaging quality (PI-QUAL) scoring system was the first standardised quantification method that demonstrated the potential for clinical benefit by relating image quality to cancer detection ability by MRI. We present the updated version of PI-QUAL (PI-QUAL v2) which applies to prostate MRI performed with or without intravenous contrast medium using a simplified 3-point scale focused on critical technical and qualitative image parameters. CLINICAL RELEVANCE STATEMENT: High image quality is crucial for prostate MRI, and the updated version of the PI-QUAL score (PI-QUAL v2) aims to address the limitations of version 1. It is now applicable to both multiparametric MRI and MRI without intravenous contrast medium. KEY POINTS: High-quality images are essential for prostate cancer diagnosis and management using MRI. PI-QUAL v2 simplifies image assessment and expands its applicability to prostate MRI without contrast medium. PI-QUAL v2 focuses on critical technical and qualitative image parameters and emphasises T2-WI and DWI.

摘要

当怀疑患有前列腺癌时,多参数 MRI 是首选的初步检查方法,其能够判断临床显著疾病的存在或排除主要依赖于高质量的解剖学和功能图像。实现一致的高质量采集的途径包括仔细的患者准备、扫描仪设置、优化的脉冲序列、人员培训和人工智能系统。这些干预措施对最终图像的影响需要进行量化。前列腺成像质量(PI-QUAL)评分系统是第一个标准化的量化方法,通过将图像质量与 MRI 对癌症检测能力相关联,证明了其具有临床获益的潜力。我们提出了 PI-QUAL 的更新版本(PI-QUAL v2),该版本适用于使用或不使用静脉对比剂进行的前列腺 MRI,采用简化的 3 分制,重点关注关键的技术和定性图像参数。临床相关性声明:高质量的图像对于前列腺 MRI 至关重要,PI-QUAL 评分的更新版本(PI-QUAL v2)旨在解决版本 1 的局限性。现在它适用于多参数 MRI 和无静脉对比剂的 MRI。要点:高质量的图像对于使用 MRI 诊断和管理前列腺癌至关重要。PI-QUAL v2 简化了图像评估,并将其应用扩展到无对比剂的前列腺 MRI。PI-QUAL v2 侧重于关键的技术和定性图像参数,并强调 T2-WI 和 DWI。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/441a/11519155/00453ac5d7b2/330_2024_10795_Fig1_HTML.jpg

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