Glycotest™ HCC Panel 与 AFP 检测早期肝细胞癌的病例对照研究

数据集获取

源站：https://clinicaltrials.gov/study/NCT03878550

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: Carcinoma, Hepatocellular, Cirrhosis, Liver. Study Rationale: This study is designed to compare the ability of the Glycotest HCC Panel with that of AFP to differentiate between patients with early-stage Hepatocellular Carcinoma (HCC) against a background of cirrhosis from cirrhotic patients without HCC (at risk). Primary Objective: The primary objective of this study is to determine whether the Glycotest HCC Panel outperforms AFP in terms of area under the receiver operating characteristic curve (AUROC) for the differentiation of patients with early-stage HCC from those without HCC in the at-risk population. Secondary Objective: The secondary objective of this study is to determine whether the Glycotest HCC Panel outperforms AFP in terms of clinical sensitivity (as estimated using the 90% specificity estimate as the decision threshold) for the detection of patients with early-stage HCC. Study Design: This is a phase 2, multicenter, laboratory-blinded, case-control study of the Glycotest HCC Panel vs AFP for the discrimination of patients with early-stage HCC from those at risk. Case and control samples will be obtained from multiple institutions using prospective collection. The study will consist of a screening/baseline visit for all patients; controls initially assessed by abdominal US will also undergo a 6-month follow-up visit to confirm absence of HCC at enrollment. Assays will be performed by Glycotest with analysts blinded to clinical data. Population: The study population will comprise male and female adult patients with early-stage HCC against a background of cirrhosis (cases) as well as at-risk cirrhotic patients (controls). Enrollment of the aggregate of HCC cases with single lesions ≥ 3 cm and with multiple lesions will be capped at 50% of total cases. Enrollment of Chronic Hepatitis C cases and controls with sustained virologic response (SVR) to therapy will be matched. Cases and controls will be matched based on age, sex and etiology. Number of Subjects: Maximum of 388 cases and 378 controls; * 1

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。