表1_放射组学研究在急性缺血性卒中中的不实用性：从初级医疗机构视角.xlsx

数据集获取（Figshare）

• 源站标题：Table 1_The impracticality of radiomics research in acute ischemic stroke: from the perspective of primary healthcare institutions.xlsx
• DOI：10.3389/fneur.2025.1559998.s001
• 发布日期：2025-09-17
• 文件数：1 个
• 文件总体积：26.02 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_The_impracticality_of_radiomics_research_in_acute_ischemic_stroke_from_the_perspective_of_primary_healthcare_institutions_xlsx/30143797

命令行下载

curl -L -o "Table 1_The impracticality of radiomics research in acute ischemic stroke: from the perspective of primary healthcare institutions.xlsx" "https://ndownloader.figshare.com/files/58024078"

文件清单

• Table 1_The impracticality of radiomics research in acute ischemic stroke: from the perspective of primary healthcare institutions.xlsx（26.02 KB）

文件总体积 26.02 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

Acute ischemic stroke (AIS) is a leading global cause of disability and mortality, imposing a substantial socioeconomic burden. Neuroimaging serves as the primary and indispensable tool for AIS diagnosis and plays a pivotal role in guiding treatment decisions and prognostic evaluations. Radiomics enables the extraction of high-dimensional features from medical imaging data, which can be integrated with clinical endpoints to construct highly accurate predictive models, thereby informing disease diagnosis and therapeutic strategies. Consequently, radiomics-based investigations into AIS etiology, prognosis, and treatment selection have emerged as a prominent research focus. Numerous published studies have demonstrated that radiomics models achieve satisfactory predictive performance, offering valuable guidance across various clinical aspects of AIS. Primary care institutions represent the frontline in real-world AIS management—a critical yet often overlooked component of the diagnostic and therapeutic workflow. Their clinical capabilities significantly influence patient outcomes. Due to inherent resource limitations, these settings stand to benefit most from the translation of such research into practice. However, whether existing radiomics models are truly applicable to primary care remains unexplored. Thus, there is an urgent need for more radiomics studies tailored to the realities of primary care to address this gap. This article critically examines the potential limitations of current AIS radiomics research in terms of clinical utility for primary care settings and provides recommendations to guide future development and implementation.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fneur.2025.1559998.s001（source: https://frontiersin.figshare.com/articles/dataset/Table_1_The_impracticality_of_radiomics_research_in_acute_ischemic_stroke_from_the_perspective_of_primary_healthcare_institutions_xlsx/30143797）。