基于人工智能的经导管主动脉瓣假体选择系统的开发与应用

数据集获取（Figshare）

• 源站标题：Development and Application of a System Based on Artificial Intelligence for Transcatheter Aortic Prosthesis Selection
• DOI：10.6084/m9.figshare.7045724.v1
• 发布日期：2018-09-05
• 文件数：8 个
• 文件总体积：564.88 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Development_and_Application_of_a_System_Based_on_Artificial_Intelligence_for_Transcatheter_Aortic_Prosthesis_Selection/7045724

命令行下载

curl -L -o "0102-7638-rbccv-33-04-0391-gf01.jpg" "https://ndownloader.figshare.com/files/12949970"
curl -L -o "0102-7638-rbccv-33-04-0391-gf02.jpg" "https://ndownloader.figshare.com/files/12949973"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/12949976"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/12949979"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/12949982"
curl -L -o "Table_4.xls" "https://ndownloader.figshare.com/files/12949985"
curl -L -o "Table_5.xls" "https://ndownloader.figshare.com/files/12949988"
curl -L -o "Table_6.xls" "https://ndownloader.figshare.com/files/12949991"

文件清单

• 0102-7638-rbccv-33-04-0391-gf01.jpg（419.11 KB）
• 0102-7638-rbccv-33-04-0391-gf02.jpg（107.89 KB）
• Table_1.xls（5.63 KB）
• Table_2.xls（5.63 KB）
• Table_3.xls（5.63 KB）
• Table_4.xls（9.73 KB）
• Table_5.xls（5.63 KB）
• Table_6.xls（5.63 KB）

文件总体积 564.88 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 Introduction: The interest in Expert systems has increased in the medical area. Some of them are employed even for diagnosis. With the variability of transcatheter prostheses, the most appropriate choice can be complex. This scenario reveals an enabling environment for the use of an Expert system. The goal of the study was to develop an Expert system based on artificial intelligence for supporting the transcatheter aortic prosthesis selection. Methods: The system was developed on Expert SINTA. The rules were created according to anatomical parameters indicated by the manufacturing company. Annular aortic diameter, aortic area, aortic perimeter, ascending aorta diameter and Valsalva sinus diameter were considered. After performing system accuracy tests, it was applied in a retrospective cohort of 22 patients with submitted to the CoreValve prosthesis implantation. Then, the system indications were compared to the real heart team decisions. Results: For 10 (45.4%) of the 22 patients there was no concordance between the Expert system and the heart team. In all cases with discordance, the software was right in the indication. Then, the patients were stratified in two groups (same indication vs. divergent indication). The baseline characteristics did not show any significant difference. Mortality, stroke, acute myocardial infarction, atrial fibrillation, atrioventricular block, aortic regurgitation and prosthesis leak did not present differences. Therefore, the maximum aortic gradient in the post-procedure period was higher in the Divergent Indication group (23.9 mmHg vs. 11.9 mmHg, P=0.03), and the mean aortic gradient showed a similar trend. Conclusion: The utilization of the Expert system was accurate, showing good potential in the support of medical decision. Patients with divergent indication presented high post-procedure aortic gradients and, even without clinical repercussion, these parameters, when elevated, can lead to early prosthesis dysfunction and the necessity of reoperation.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.7045724.v1（source: https://scielo.figshare.com/articles/dataset/Development_and_Application_of_a_System_Based_on_Artificial_Intelligence_for_Transcatheter_Aortic_Prosthesis_Selection/7045724）。