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VI-RADS质量评分:美国放射学会VI-RADS指导委员会评分系统的制定与提议

VI-RADS quality score: development and proposal of a scoring system by the American College of Radiology VI-RADS Steering Committee.

作者信息

Woo Sungmin, Luk Lyndon, Muglia Valdair F, Briganti Alberto, Efstathiou Jason, Galgano Samuel J, Redd Bernadette, de Rooij Maarten, Takeuchi Mitsuru, Witjes J Alfred, Vargas H Alberto, Panebianco Valeria

机构信息

Department of Radiology, New York University Langone Health, New York, NY, USA.

Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA.

出版信息

Eur Radiol. 2025 Aug 20. doi: 10.1007/s00330-025-11966-7.

DOI:10.1007/s00330-025-11966-7
PMID:40830701
Abstract

High-quality bladder MRI is essential for reliable detection and characterization of bladder tumors. While the Vesical Imaging Reporting and Data System (VI-RADS) was developed to standardize acquisition, interpretation, and reporting of MRI for bladder cancer staging, no universal scoring system has been established for quality assessment. A systematic review showed that existing efforts for bladder MRI quality assessment have largely relied on study-specific, subjective Likert-type scales, with substantial variability, hindering reproducibility and comparability across studies and institutions. In this paper, we describe a novel bladder MRI scoring system that was developed by the multidisciplinary American College of Radiology VI-RADS Steering Committee, the VI-RADS Quality Score. It provides stratification of quality scores-inadequate, adequate, and optimal-based on signal-to-noise ratio, ability to clearly visualize relevant anatomic landmarks, and assessments of common imaging artifacts, which can guide clinical decision-making. It also emphasizes per-sequence scores in addition to an overall assessment to support targeted MRI protocol optimization. The VI-RADS Quality Score will need to be prospectively validated and will facilitate reproducibility across institutions, build trust in bladder MRI within multidisciplinary teams, and accelerate widespread adoption of bladder MRI for bladder cancer imaging. KEY POINTS: Question While high-quality bladder MRI is essential for evaluating bladder cancer, no universal scoring system is established for quality assessment. Findings A systematic review showed that studies on bladder MRI quality had significant variability. A structured scoring system was developed by the multidisciplinary VI-RADS steering committee. Clinical relevance High-quality bladder MRI is essential for reliable evaluation of bladder cancer. The VI-RADS Steering Committee developed a scoring system for bladder MRI quality assessment. This is expected to facilitate reproducibility and build trust in bladder MRI within multidisciplinary teams.

摘要

高质量的膀胱磁共振成像(MRI)对于可靠地检测和表征膀胱肿瘤至关重要。虽然膀胱影像报告和数据系统(VI-RADS)旨在规范用于膀胱癌分期的MRI采集、解读和报告,但尚未建立用于质量评估的通用评分系统。一项系统评价表明,现有的膀胱MRI质量评估工作很大程度上依赖于特定研究的主观李克特式量表,存在很大差异,阻碍了不同研究和机构之间的可重复性和可比性。在本文中,我们描述了一种由多学科的美国放射学会VI-RADS指导委员会开发的新型膀胱MRI评分系统,即VI-RADS质量评分。它根据信噪比、清晰可视化相关解剖标志的能力以及对常见成像伪影的评估,对质量评分进行分层,分为不足、 adequate和最佳,这可以指导临床决策。除了整体评估外,它还强调每个序列的评分,以支持有针对性的MRI方案优化。VI-RADS质量评分需要进行前瞻性验证,将促进不同机构之间的可重复性,在多学科团队中建立对膀胱MRI的信任,并加速膀胱MRI在膀胱癌成像中的广泛应用。要点:问题虽然高质量的膀胱MRI对于评估膀胱癌至关重要,但尚未建立用于质量评估的通用评分系统。发现一项系统评价表明,关于膀胱MRI质量的研究存在显著差异。多学科的VI-RADS指导委员会开发了一种结构化评分系统。临床意义高质量的膀胱MRI对于可靠评估膀胱癌至关重要。VI-RADS指导委员会开发了一种用于膀胱MRI质量评估的评分系统。这有望促进可重复性,并在多学科团队中建立对膀胱MRI的信任。

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本文引用的文献

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Multiparametric MRI for Bladder Cancer: A Practical Approach to the Clinical Application of VI-RADS.膀胱癌的多参数磁共振成像:VI-RADS临床应用的实用方法
Radiology. 2025 Mar;314(3):e233459. doi: 10.1148/radiol.233459.
2
PI-QUAL version 2: A Multi-Reader reproducibility study on multiparametric MRI from a tertiary referral center.PI-QUAL版本2:来自三级转诊中心的多参数MRI多阅片者可重复性研究。
Eur J Radiol. 2024 Dec;181:111716. doi: 10.1016/j.ejrad.2024.111716. Epub 2024 Sep 5.
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Multiparametric Prostate MRI Accuracy of Prostate Imaging Reporting and Data System (v2.1) Scores 4 and 5: The Influence of Image Quality According to the Prostate Imaging Quality Score.
多参数前列腺MRI中前列腺影像报告和数据系统(第2.1版)4分和5分的准确性:根据前列腺影像质量评分的图像质量影响
J Clin Med. 2024 Jun 27;13(13):3785. doi: 10.3390/jcm13133785.
4
Reduced field-of-view DWI based on deep learning reconstruction improving diagnostic accuracy of VI-RADS for evaluating muscle invasion.基于深度学习重建的缩小视野扩散加权成像提高了用于评估肌肉浸润的VI-RADS诊断准确性。
Insights Imaging. 2024 Jun 9;15(1):139. doi: 10.1186/s13244-024-01686-9.
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PI-QUAL version 2: an update of a standardised scoring system for the assessment of image quality of prostate MRI.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。
Eur Radiol. 2024 Nov;34(11):7068-7079. doi: 10.1007/s00330-024-10795-4. Epub 2024 May 24.
6
Bladder MRI with deep learning-based reconstruction: a prospective evaluation of muscle invasiveness using VI-RADS.基于深度学习的重建的膀胱 MRI:使用 VI-RADS 评估肌肉侵犯的前瞻性研究。
Abdom Radiol (NY). 2024 May;49(5):1615-1625. doi: 10.1007/s00261-024-04280-1. Epub 2024 Apr 23.
7
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Nat Rev Urol. 2024 Apr;21(4):243-251. doi: 10.1038/s41585-023-00830-2. Epub 2023 Nov 30.
8
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Quant Imaging Med Surg. 2023 Aug 1;13(8):5109-5118. doi: 10.21037/qims-22-1419. Epub 2023 May 31.
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