高危患者肝细胞癌监测的前瞻性评估(Screening HCC)
该数据集来自 clinicaltrials.gov,主题为高危患者肝细胞癌监测的前瞻性评估,属于肿瘤/肝癌领域。覆盖肝细胞癌、肝硬化、慢性乙型肝炎、代谢功能障碍相关脂肪性肝病及晚期肝纤维化等人群

基本信息
资源简介
高危患者肝细胞癌监测的前瞻性评估(Screening HCC)
该数据集来自 clinicaltrials.gov,主题为高危患者肝细胞癌监测的前瞻性评估,属于肿瘤/肝癌领域。覆盖肝细胞癌、肝硬化、慢性乙型肝炎、代谢功能障碍相关脂肪性肝病及晚期肝纤维化等人群。源站描述显示,这是一项在 Rede D'Or 医疗网络内实施的前瞻性多中心观察性研究,旨在评估结构化 HCC 监测项目的表现,关注早期发现与治疗可及性及生存结局的关系。可用于研究 HCC 监测路径在真实临床实践中的实施效果与筛查效能(来源 clinicaltrials.gov)。
【数据内容】
源站描述(机器翻译,仅供参考):条件:肝细胞癌、肝硬化、慢性乙型肝炎、代谢功能障碍相关脂肪性肝病、晚期肝纤维化。肝细胞癌(HCC)是最常见的原发性肝脏恶性肿瘤,也是全球癌症相关死亡的主要原因之一。通过监测实现早期发现与获得治愈性治疗的机会增加及更好的生存结局相关。尽管有国际指南推荐,监测项目在常规临床实践中的实施仍不均衡,关于巴西结构化 HCC 监测路径有效性的真实世界证据有限。这项前瞻性多中心观察性研究旨在评估在 Rede D'Or 医疗网络内实施的结构化 HCC 监测项目的表现。该项目结合了标准
【主题与分类】
主题标签:Hepatocellular Carcinoma、Liver Cirrhosis、Chronic Hepatitis B、Advanced Liver Fibrosis。本站分类:肿瘤/肝癌。
【获取与许可】
源站页面:https://clinicaltrials.gov/study/NCT07764835
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取
源站:https://clinicaltrials.gov/study/NCT07764835
标准获取流程:
- 访问源站链接,注册/登录账号;
- 进入数据集详情页,按页面指引申请权限或直接下载;
- 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。
- OpenDataLab:
数据说明
Conditions: Hepatocellular Carcinoma, Liver Cirrhosis, Chronic Hepatitis B, Metabolic Dysfunction-Associated Steatotic Liver Disease, Advanced Liver Fibrosis. Hepatocellular carcinoma (HCC) is the most common primary liver malignancy and remains a leading cause of cancer-related mortality worldwide. Early detection through surveillance is associated with improved access to curative therapies and better survival outcomes. Despite international guideline recommendations, implementation of surveillance programs remains heterogeneous in routine clinical practice, and limited real-world evidence is available regarding the effectiveness of structured HCC surveillance pathways in Brazil. This prospective multicenter observational study is designed to evaluate the performance of a structured HCC surveillance program implemented within the Rede D’Or healthcare network. The program combines standardized abdominal ultrasound reporting using the Ultrasound Liver Imaging Reporting and Data System (US LI-RADS), regular alpha-fetoprotein (AFP) assessment, dedicated training of healthcare professionals, and predefined referral pathways for diagnostic evaluation and clinical management. The study aims to generate real-world evidence regarding the effectiveness of standardized surveillance strategies in populations at increased risk for HCC. In addition to evaluating HCC detection, the study will assess the clinical characteristics and staging patterns of diagnosed tumors, detection of other malignant liver lesions, and the efficiency of the diagnostic and treatment pathway. Special attention will be given to patients who do not fully meet traditional surveillance criteria but may still present clinically relevant risk for HCC, including individuals with advanced fibrosis and metabolic dysfunction-associated steatotic liver disease (MASLD). No experimental interventions will be administered as part of this protocol. All surveillance procedures, diagnostic investigations, and treatment decisions will be performed according to routine clinical practice and the judgment of treating physicians. Data generated during routine care will be collec
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。
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