Pareto Deborah, Sastre-Garriga Jaume, Alberich Manel, Auger Cristina, Tintoré Mar, Montalban Xavier, Rovira Àlex
Neuroradiology Section, Department of Radiology, Vall d'Hebron University Hospital and Research Institute (VHIR), Autonomous University, Psg. Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Department of Neuroimmunology (Cemcat), Vall d'Hebron University Hospital and Research Institute (VHIR), Autonomous University, Barcelona, Spain.
Neuroradiology. 2019 Jun;61(6):667-674. doi: 10.1007/s00234-019-02191-3. Epub 2019 Mar 5.
Brain volume estimates from magnetic resonance images (MRIs) are of great interest in multiple sclerosis, and several automated tools have been developed for this purpose. The goal of this study was to assess the agreement between two tools, NeuroQuant® (NQ) and FMRIB's Integrated Registration Segmentation Tool (FIRST), for estimating overall and regional brain volume in a cohort of patients with a clinically isolated syndrome (CIS). In addition, white matter lesion volume was estimated with NQ and the Lesion Segmentation Toolbox (LST).
One hundred fifteen CIS patients were analysed. Structural images were acquired on a 3.0-T system. The volume agreement between methods (by estimation of the intraclass correlation coefficient) was calculated for the right and left thalamus, caudate, putamen, pallidum, hippocampus, and amygdala, as well as for the total intracranial volume and white matter lesion volume.
In general, the estimated volumes were larger by NQ than FIRST, except for the pallidum. Agreement was low (ICC < 0.40) for the smaller structures (amygdala and pallidum) and fair to good (ICC > 0.40) for the remaining ones. Agreement was fair for lesion volume (ICC = 0.61), with NQ estimates lower than LST.
Agreement between NQ and FIRST brain volume estimates depends on the size of the structure of interest, with larger volumes achieving better agreement. In addition, concordance between the two tools does seem to be dependent on the presence of brain lesions.
磁共振成像（MRI）得出的脑容量估计值在多发性硬化症研究中备受关注，为此已开发了多种自动化工具。本研究的目的是评估NeuroQuant®（NQ）和FMRIB综合注册分割工具（FIRST）这两种工具在估计临床孤立综合征（CIS）患者队列的全脑和区域脑容量方面的一致性。此外，使用NQ和病变分割工具箱（LST）估计白质病变体积。
分析了115例CIS患者。在3.0-T系统上采集结构图像。计算了左右丘脑、尾状核、壳核、苍白球、海马体和杏仁核以及总颅内体积和白质病变体积的方法间体积一致性（通过估计组内相关系数）。
总体而言，除苍白球外，NQ估计的体积比FIRST大。较小结构（杏仁核和苍白球）的一致性较低（组内相关系数<0.40），其余结构的一致性为中等至良好（组内相关系数>0.40）。病变体积的一致性为中等（组内相关系数=0.61），NQ估计值低于LST。
NQ和FIRST脑容量估计值之间的一致性取决于感兴趣结构的大小，体积越大一致性越好。此外，这两种工具之间的一致性似乎确实取决于脑病变的存在。
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