e-ASPECTS在急性卒中护理中的应用：与专家表现相比的方法性能验证

数据集获取（Figshare）

• 源站标题：The use of e-ASPECTS in acute stroke care: validation of method performance compared to the performance of specialists
• DOI：10.6084/m9.figshare.14275955.v1
• 发布日期：2021-03-24
• 文件数：4 个
• 文件总体积：197.18 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/The_use_of_e-ASPECTS_in_acute_stroke_care_validation_of_method_performance_compared_to_the_performance_of_specialists/14275955

命令行下载

curl -L -o "1678-4227-anp-78-12-757-gf1.png" "https://ndownloader.figshare.com/files/27083810"
curl -L -o "1678-4227-anp-78-12-757-gf2.png" "https://ndownloader.figshare.com/files/27083813"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/27083816"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/27083822"

文件清单

• 1678-4227-anp-78-12-757-gf1.png（53.97 KB）
• 1678-4227-anp-78-12-757-gf2.png（127.86 KB）
• Table_1.xls（5.63 KB）
• Table_2.xls（9.73 KB）

文件总体积 197.18 KB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

ABSTRACT Background: The rapid evaluation of non-contrast-enhanced computed tomography (NCCT) brain scans in patients with anterior stroke symptoms saves time and favors optimal and prompt treatment. e-ASPECTS is a tool that automatically calculates the Alberta Stroke Program Early CT Score (ASPECTS) values, leading to a more accurate and timely image evaluation. Objective: To determine the ability of e-ASPECTS in differentiating images with and without injury. Methods: One-hundred sixteen patients admitted to a stroke unit in a Brazilian tertiary hospital underwent a CT scan at admission and at least one control brain imaging (NCCT or magnetic resonance imaging - MRI) 24 hours after admission. ASPECTS evaluation was performed by three neuroradiologists, three neurologists, and three neurology residents, all blinded to the symptoms and the injury side. The scores were compared to the ground truth, and an ASPECTS score was provided by two independent non blinded evaluators. Sensitivity and specificity were analyzed, and receiver operating characteristic curves, Bland-Altman plots with mean error score, and Matthews correlation coefficients (MCCs) were obtained for ASPECTS scores, assuming values equal to 10 for images without injury and values other than 10 for images with ischemic injury. Results: e-ASPECTS demonstrated similar performance to that of neuroradiologists and neurologists, with an area under the curve of 0.78 and an MCC value of 0.48 in the dichotomous analysis. The sensitivity and specificity of e-ASPECTS were 75% and 73%, respectively. Conclusion: e-ASPECTS is a validated and reliable tool for determining early signs of ischemia in NCCT.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.14275955.v1（source: https://scielo.figshare.com/articles/dataset/The_use_of_e-ASPECTS_in_acute_stroke_care_validation_of_method_performance_compared_to_the_performance_of_specialists/14275955）。