全球气道依从性——类固醇摄入及其对慢性鼻窦炎的影响

数据集获取

源站：https://clinicaltrials.gov/study/NCT05843019

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: Chronic Rhinosinusitis Without Nasal Polyps, Asthma, Chronic Rhinosinusitis With Nasal Polyps, Steroid-Induced Osteopenia (Diagnosis), Steroid-Induced Diabetes, Steroid-Induced Hyperglycemia. The purpose of this study is to investigate the relationship between long-term use of systemic steroids in patients with upper and lower respiratory tract diseases and their own production of cortisol (cross-sectional), as well as whether those with low cortisol levels have an impact on bone density. As patients with CRSwNP have a high use of steroids, they routinely undergo a DEXA scan at the Respiratory Clinic, Department of Ear-Nose-Throat Surgery and Audiology (ENT) - Rigshospitalet (RH) to examine whether their bone density and structure are affected. The scan will be included as a clinical secondary outcome to assess whether systemic steroid use has an impact on this. The purpose of the study is therefore to compare steroid intake, baseline P-cortisol, the body’s response to ACTH (measured by cortisol levels after the test), and bone density in patients with chronic sinusitis (CRS) with and without asthma in an unselected population at the Respiratory Clinic (cross-sectional). In addition, at the 4-month follow-up (exploratory follow-up, pilot project), it will be investigated whether good adherence (>80%) to inhalation therapy (nasal steroid and lung steroid) and additional treatment with biologicals has a negative effect on the body’s own production of P-cortisol.

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。