Diagnostic Radiology, Lund University, Lund, Sweden.
Penn Image Computing and Science Laboratory, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Hum Brain Mapp. 2021 Feb 1;42(2):539-550. doi: 10.1002/hbm.25234. Epub 2020 Oct 15.
Spurred by availability of automatic segmentation software, in vivo MRI investigations of human hippocampal subfield volumes have proliferated in the recent years. However, a majority of these studies apply automatic segmentation to MRI scans with approximately 1 × 1 × 1 mm resolution, a resolution at which the internal structure of the hippocampus can rarely be visualized. Many of these studies have reported contradictory and often neurobiologically surprising results pertaining to the involvement of hippocampal subfields in normal brain function, aging, and disease. In this commentary, we first outline our concerns regarding the utility and validity of subfield segmentation on 1 × 1 × 1 mm MRI for volumetric studies, regardless of how images are segmented (i.e., manually or automatically). This image resolution is generally insufficient for visualizing the internal structure of the hippocampus, particularly the stratum radiatum lacunosum moleculare, which is crucial for valid and reliable subfield segmentation. Second, we discuss the fact that automatic methods that are employed most frequently to obtain hippocampal subfield volumes from 1 × 1 × 1 mm MRI have not been validated against manual segmentation on such images. For these reasons, we caution against using volumetric measurements of hippocampal subfields obtained from 1 × 1 × 1 mm images.
受自动分割软件可用性的推动,近年来,对人类海马亚区体积的活体 MRI 研究大量增加。然而,这些研究中的大多数都将自动分割应用于大约 1×1×1mm 分辨率的 MRI 扫描,在这种分辨率下,海马体的内部结构很少能被看到。这些研究中有许多报告了相互矛盾的结果,而且通常在神经生物学上令人惊讶,这些结果涉及海马亚区在正常大脑功能、衰老和疾病中的作用。在这篇评论中,我们首先概述了我们对在 1×1×1mm MRI 上进行容积研究时使用亚区分割的实用性和有效性的担忧,无论图像是如何分割的(即手动分割还是自动分割)。这种图像分辨率通常不足以显示海马体的内部结构,特别是对于进行有效和可靠的亚区分割至关重要的放射状层腔隙分子层。其次,我们讨论了这样一个事实,即最常用于从 1×1×1mm MRI 获得海马亚区体积的自动方法尚未针对此类图像上的手动分割进行验证。基于这些原因,我们警告不要使用从 1×1×1mm 图像获得的海马亚区容积的测量值。