运动右心导管联合同步超声心动图在劳力性呼吸困难患者中的预后作用与诊断效能

数据集获取

源站：https://clinicaltrials.gov/study/NCT05490901

标准获取流程：

1. 访问源站链接，注册/登录账号；
2. 进入数据集详情页，按页面指引申请权限或直接下载；
3. 部分平台提供 SDK，例如：
   • OpenDataLab: pip install openxlab 后 openxlab.dataset.get(...)
   • ModelScope: pip install modelscope 后 modelscope download
   • 天池: 登录后页面提供直链下载
     以源站「数据下载/使用文档」页面为准。

数据说明

Conditions: Heart Failure With Preserved Ejection Fraction, Chronic Pulmonary Thromboembolism (Disorder). Heart failure with preserved ejection fraction (HFpEF) is a major public health problem that has no proven effective treatment. However, in practice, it’s difficult to recognize early stage of HFpEF by resting hemodynamic study and echocardiography because the patients mainly complaint of dyspnea only during exercise but not resting condition. Accordingly, exercise stress test will be helpful to provide more information on pathophysiology, diagnosis, and severity in various cardiovascular diseases such as HFpEF, valvular heart disease, and chronic thromboembolic pulmonary hypertension. Thus, the broad objective of this proposal is to characterize the dynamic changes in cardiopulmonary mechanics during stress in patients with exertional dyspnea, establishing a comprehensive multimodality diagnostic approach to the evaluation of exercise intolerance. Specifically, this study will compare established and novel parameters derived from echocardiography and CPX with simultaneous, gold standard invasive measures of cardiovascular hemodynamics at rest and with exercise stress to define the role of noninvasive testing in the diagnostic workup for patients with dyspnea on exertion referred to the catheterization lab.

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。