Department of Neuroradiology at Heidelberg University Hospital, Heidelberg, Germany.
Department of Neurology at Heidelberg University Hospital, Heidelberg, Germany.
J Neuroimaging. 2019 Jan;29(1):62-64. doi: 10.1111/jon.12562. Epub 2018 Sep 19.
We investigated whether automated and reader-based ASPECTS in acute stroke patients are affected by different CT image reconstruction algorithms.
ASPECTS were assessed by commercial software and four independent blinded readers (two residents and two consultants) from different CT reconstructions (filtered back projection and two different iterative reconstruction [IR] levels) in 43 acute stroke patients with proximal middle cerebral artery occlusion. Ground truth was provided by an expert with unrestricted data access.
The residents showed significant variations between IR levels and had a significantly lower internal consistency across different reconstructions compared to the software, which performed similarly to the consultants. The consultant as well as the software also showed different deviations from ground truth with different IR levels, which were least at IR strength level 2.
CT image postprocessing affects either automated or human ASPECTS in acute stroke patients. This effect was most pronounced in the less experienced readers, while the software had the most robust performance.
我们研究了在急性脑卒中患者中，自动和基于读者的 ASPECTS 是否受到不同 CT 图像重建算法的影响。
在 43 名近端大脑中动脉闭塞的急性脑卒中患者中，使用商业软件和四位独立的盲法读者（两位住院医师和两位顾问），分别对滤波反投影和两种不同迭代重建（IR）水平的 CT 重建进行 ASPECTS 评估。真实情况由具有无限制数据访问权限的专家提供。
住院医师在 IR 水平之间表现出明显的差异，与软件相比，他们在不同重建之间的内部一致性明显较低，而软件的表现与顾问相似。顾问和软件在不同的 IR 水平下与真实情况也存在不同的偏差，在 IR 强度级别 2 时偏差最小。
CT 图像后处理会影响急性脑卒中患者的自动或人工 ASPECTS。这种影响在经验较少的读者中最为明显，而软件的性能则最为稳健。
