Alzaidi Ahlam A, Panek Rafal, Blockley Nicholas P
David Greenfield Human Physiology Unit, School of Life Sciences, University of Nottingham, Nottingham, UK.
Radiology Department, College of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.
Magn Reson Med. 2024 Nov;92(5):1822-1837. doi: 10.1002/mrm.30165. Epub 2024 Jul 28.
There are many approaches to the quantitative BOLD (qBOLD) technique described in the literature, differing in pulse sequences, MRI parameters and data processing. Thus, in this review, we summarized the acquisition methods, approaches used for oxygenation quantification and clinical populations investigated.
Three databases were systematically searched (Medline, Embase, and Web of Science) for published research that used qBOLD methods for quantification of oxygen metabolism. Data extraction and synthesis were performed by one author and reviewed by a second author.
A total of 93 relevant papers were identified. Acquisition strategies were summarized, and oxygenation parameters were found to have been investigated in many pathologies such as steno-occlusive diseases, stroke, glioma, and multiple sclerosis disease.
A summary of qBOLD approaches for oxygenation measurements and applications could help researchers to identify good practice and provide objective information to inform the development of future consensus recommendations.
文献中描述了多种用于定量血氧水平依赖性功能磁共振成像(qBOLD)技术的方法,这些方法在脉冲序列、磁共振成像参数和数据处理方面存在差异。因此,在本综述中,我们总结了采集方法、用于氧合定量的方法以及所研究的临床人群。
系统检索了三个数据库(Medline、Embase和Web of Science),以查找使用qBOLD方法进行氧代谢定量的已发表研究。数据提取和综合由一位作者完成,并由另一位作者进行审核。
共识别出93篇相关论文。总结了采集策略,发现氧合参数已在许多疾病中得到研究,如狭窄闭塞性疾病、中风、胶质瘤和多发性硬化症。
qBOLD氧合测量方法及应用的总结有助于研究人员识别良好实践,并为未来制定共识性建议提供客观信息。