新型调节剂联合治疗在囊性纤维化患者中的真实世界临床结局（RECOVER）

数据集获取

源站：https://clinicaltrials.gov/study/NCT04602468

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: Cystic Fibrosis, Cystic Fibrosis Liver Disease, Cystic Fibrosis in Children, Adherence, Medication, Cystic Fibrosis Gastrointestinal Disease. Our aim with RECOVER is to examine the clinical impact of ETI on key clinical outcomes in people with CF in a real-world setting. For this study, in addition to some of the more traditional ways of monitoring clinical outcomes in people with CF such a standard lung function, nutrition, exacerbations and liver disease, the investigators are proposing to include some novel outcome measures not typically used in clinical trials such as lung clearance index (LCI) and spirometry controlled chest CT. By implementing an extensive study protocol that will include important outcomes in a number of areas of health in people with CF, and matching this to a comprehensive biosample collection plan, the investigators will have the power to gain important insight into how ETI works, and what impact it has on rescue of CFTR function in this group of people. Data on the following outcomes will be collected during the study: Lung Clearance Index Ultra-low dose, spirometry-controlled CT scanning Sweat Chloride Nasal Lavage (inflammatory markers and microbiome) Fraction of Exhaled Nitric Oxide (FeNO) Liver Ultrasound Liver examination (signs of liver disease) Sputum Collection (inflammatory markers and microbiome) Stool Collection (inflammation, microbiome, fecal elastase) Abdominal symptom questionnaire CFQ-R (quality of life) Adherence to treatment Height, weight, BMI Forced Expiratory volume in 1 second (FEV1) Microbiological culture of airway specimens (clinical laboratories at sites) Mental Health outcomes The Lead Investigator is Paul McNally, with Prof. Jane Davies as Co-Lead Investigator. The study will operate in collaboration with our academic and clinical partners and the CF registries in Ireland and the UK. The study is supported by the European CF Society Clinical Trials Network (ECFS-CTN). The study is being run as a CTIMP in the UK clinical sites, as determined by the MHRA. In the Irish sites, the HPRA has determined this study to be an observational research study.

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。