在高分辨率 T1 加权磁共振图像上手动分割脑卒中病灶的标准化方案。

Frontiers in neuroimaging Pub Date : 2023-01-10 eCollection Date: 2022-01-01 DOI:10.3389/fnimg.2022.1098604
Bethany P Lo, Miranda R Donnelly, Giuseppe Barisano, Sook-Lei Liew
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摘要

尽管存在中风病灶自动分割方法,但许多研究人员仍将人工分割作为金标准。我们在高分辨率三维 T1 加权(T1w)磁共振成像(MRI)上对脑卒中病灶进行追踪的详细标准化方案已用于追踪 1300 多例脑卒中 MRI。在当前的研究中,我们描述了该方案,包括用于训练多人以一致的方式追踪病变("追踪者")的逐步方法,以及区分中风大脑病变和非病变区域的建议。对使用我们的方案训练的六名描记员进行了评分者之间和评分者内部可靠性的计算,得出的平均类内相关性分别为 0.98 和 0.99,Dice 相似性系数分别为 0.727 和 0.839。该方案为研究人员在脑卒中 T1 加权磁共振成像中进行手动病灶分割提供了标准化指南,并提供了促进脑卒中研究可重复性的详细方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A standardized protocol for manually segmenting stroke lesions on high-resolution T1-weighted MR images.

Although automated methods for stroke lesion segmentation exist, many researchers still rely on manual segmentation as the gold standard. Our detailed, standardized protocol for stroke lesion tracing on high-resolution 3D T1-weighted (T1w) magnetic resonance imaging (MRI) has been used to trace over 1,300 stroke MRI. In the current study, we describe the protocol, including a step-by-step method utilized for training multiple individuals to trace lesions ("tracers") in a consistent manner and suggestions for distinguishing between lesioned and non-lesioned areas in stroke brains. Inter-rater and intra-rater reliability were calculated across six tracers trained using our protocol, resulting in an average intraclass correlation of 0.98 and 0.99, respectively, as well as a Dice similarity coefficient of 0.727 and 0.839, respectively. This protocol provides a standardized guideline for researchers performing manual lesion segmentation in stroke T1-weighted MRI, with detailed methods to promote reproducibility in stroke research.

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