Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, Liaoning, China.
School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China.
Sci Data. 2024 Oct 15;11(1):1132. doi: 10.1038/s41597-024-03973-y.
The Alberta Stroke Program Early Computed Tomography Score (ASPECTS) is a valuable and easy-to-use method for assessing acute ischemic stroke. It aids in identifying suitable candidates for thrombolytic therapies and evaluating treatment effectiveness. However, ASPECTS evaluation primarily relies on visual observation in current clinical practice, lacking a common standardized space. Additionally, different doctors may have varying clinical experiences, leading to a poor inter-reader agreement and potential errors in the final ASPECTS scoring. To address these issues and fill in the absence of a publicly available ASPECTS atlas, this work constructs age-specific Chinese ASPECTS atlases based on non-contrast computed tomography images of 281 healthy subjects across different age groups. Images of different age groups are warped into respective common averaged spaces, where the average intensity atlases are computed. More importantly, 10 ASPECTS regions can be obtained during this process. We develop an automated ASPECTS region mapping pipeline and collect an independent dataset to validate our atlas. The results prove that the age-specific ASPECTS atlas is of great promise in clinical availability.
阿尔伯塔卒中项目早期计算机断层扫描评分（ASPECTS）是一种评估急性缺血性卒中的有价值且易于使用的方法。它有助于确定适合溶栓治疗的合适候选者，并评估治疗效果。然而，ASPECTS 评估在当前的临床实践中主要依赖于视觉观察，缺乏通用的标准化空间。此外，不同的医生可能具有不同的临床经验，导致读者间的协议较差，并且最终的 ASPECTS 评分存在潜在误差。为了解决这些问题并填补缺乏公开可用的 ASPECTS 图谱的空白，这项工作基于 281 名不同年龄组的健康受试者的非对比计算机断层扫描图像构建了特定于年龄的中文 ASPECTS 图谱。不同年龄组的图像被扭曲到各自的常见平均空间中，在该空间中计算平均强度图谱。更重要的是，在此过程中可以获得 10 个 ASPECTS 区域。我们开发了一种自动化的 ASPECTS 区域映射管道，并收集了一个独立的数据集来验证我们的图谱。结果证明，特定于年龄的 ASPECTS 图谱在临床可用性方面具有很大的潜力。
