Tireli Derya, Christensen Jeppe Romme, Munch Tina Nørgaard, MacAulay Nanna, Larsson Henrik Bo Wiberg, Carlsen Jonathan Frederik, Cramer Stig Praestekjaer
Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark.
Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Fluids Barriers CNS. 2025 Sep 15;22(1):92. doi: 10.1186/s12987-025-00702-4.
The choroid plexus is a highly vascularized structure located in the lateral, third, and fourth ventricles of the brain. Recent studies suggest that volumetric changes in choroid plexus volume are associated with progression in various brain diseases. Segmentation algorithms have significantly improved our ability to study choroid plexus volumetrics in relation to various pathologies. Thus, the specific purpose of this review was to describe to what extent choroid plexus volume estimation provides clinically relevant information in brain diseases.
An extensive literature search was conducted across Pubmed, Embase and Cochrane databases. A comprehensive, detailed qualitative descriptive analysis, and a thorough risk-of-bias assessment were performed for the included studies.
Forty-eight studies were included in this systematic review in the categories of multiple sclerosis, neurodegenerative diseases, psychiatric disorders, healthy populations and a group categorized as "other" for all other brain diseases that did not fit into the other categories.
For many of the studies included, the patients had a larger choroid plexus volume compared to healthy controls. Evidence is currently insufficient to determine whether CPV enlargement correlates with clinical severity or functional scores. The most common segmentation technique was the automatic segmentation method, followed by manual correction of the segmented choroid plexus. Thus, this review highlights the growing interest choroid plexus volume, its segmentation, and its potential as a biomarker for numerous brain diseases.
脉络丛是位于脑的侧脑室、第三脑室和第四脑室内的高度血管化结构。近期研究表明,脉络丛体积的变化与多种脑部疾病的进展相关。分割算法显著提高了我们研究脉络丛体积与各种病理状态关系的能力。因此,本综述的具体目的是描述脉络丛体积估计在多大程度上能为脑部疾病提供临床相关信息。
在PubMed、Embase和Cochrane数据库中进行了广泛的文献检索。对纳入的研究进行了全面、详细的定性描述分析和彻底的偏倚风险评估。
本系统综述纳入了48项研究,涉及多发性硬化症、神经退行性疾病、精神疾病、健康人群以及一组归类为“其他”的所有不符合其他类别的脑部疾病。
对于许多纳入的研究,患者的脉络丛体积比健康对照者更大。目前证据不足,无法确定脉络丛体积增大是否与临床严重程度或功能评分相关。最常用的分割技术是自动分割方法,其次是对分割后的脉络丛进行手动校正。因此,本综述强调了对脉络丛体积、其分割方法以及其作为多种脑部疾病生物标志物潜力的兴趣日益增加。