Age-specific ASPECTS atlas of Chinese subjects across different age groups for assessing acute ischemic stroke

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...

Full description

Saved in:
Bibliographic Details
Published in:Scientific data 2024-10, Vol.11 (1), p.1132-11, Article 1132
Main Authors: Sun, Qi, Wang, Guan, Yang, Jinzhu, Zhou, Yimo, Yuan, Yuliang, Huang, Yan, Fu, Ziyu
Format: Article
Language:English
Subjects:
631/378
692/617/375/534
Adult
Age
Age Factors
Age groups
Aged
Atlases as Topic
China
Computed tomography
Data Descriptor
East Asian People
Female
Humanities and Social Sciences
Humans
Ischemia
Ischemic Stroke - diagnostic imaging
Male
Middle Aged
multidisciplinary
Science
Science (multidisciplinary)
Stroke
Thrombolysis
Tomography
Tomography, X-Ray Computed
Young Adult
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-024-03973-y