阿扎胞苷联合 Sonidegib 或地西他滨治疗髓系恶性肿瘤
该数据集来自 clinicaltrials.gov,收录一项针对髓系恶性肿瘤的临床试验信息,涉及慢性粒单核细胞白血病、新发及既往治疗过的骨髓增生异常综合征、原发性血小板增多症、骨髓增生异常/骨髓增殖性肿瘤、真性红细胞增多症和原发性骨髓纤维化等病种

基本信息
资源简介
阿扎胞苷联合 Sonidegib 或地西他滨治疗髓系恶性肿瘤
该数据集来自 clinicaltrials.gov,收录一项针对髓系恶性肿瘤的临床试验信息,涉及慢性粒单核细胞白血病、新发及既往治疗过的骨髓增生异常综合征、原发性血小板增多症、骨髓增生异常/骨髓增殖性肿瘤、真性红细胞增多症和原发性骨髓纤维化等病种。研究评估 LDE225(sonidegib)联合阿扎胞苷或地西他滨的最大耐受剂量,并进一步估计 LDE225 联合阿扎胞苷在初治及复发难治患者亚组中的疗效。数据可用于髓系肿瘤治疗方案的剂量探索与疗效预测研究(来源 clinicaltrials.gov)。
【数据内容】
源站描述(机器翻译,仅供参考):条件:慢性粒单核细胞白血病、新发骨髓增生异常综合征、原发性血小板增多症、骨髓增生异常综合征、骨髓增生异常/骨髓增殖性肿瘤、真性红细胞增多症、既往治疗过的骨髓增生异常综合征、原发性骨髓纤维化。主要目标:I. 估计 LDE225(sonidegib)(第1-28天)联合阿扎胞苷(总体)、LDE225(第1-7天)联合阿扎胞苷(总体)以及 LDE225(第1-28天)联合地西他滨(总体)的最大耐受剂量(MTD)。(I期)II. 估计 LDE225(第1-28天)联合阿扎胞苷在以下亚组中的疗效:未经治疗的急性髓系白血病(AML)/慢性粒单核细胞白血病(CMML)/骨髓增生异常综合征(MDS)/骨髓增殖性肿瘤(MPN)重叠;复发/难治性 AML/CMML/MDS/MPN 重叠;以及仅骨髓纤维化(MF)。(Ib期)SECO
【主题与分类】
主题标签:Chronic Myelomonocytic Leukemia、de Novo Myelodysplastic Syndrome、Essential Thrombocythemia、Myelodysplastic Syndrome、Polycythemia Vera、Primary Myelofibrosis、Recurrent Adult Acute Myeloid Leukemia、Untreated Adult Acute Myeloid Leukemia。本站分类:肿瘤/白血病。
【获取与许可】
源站页面:https://clinicaltrials.gov/study/NCT02129101
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/NCT02129101
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: Chronic Myelomonocytic Leukemia, de Novo Myelodysplastic Syndrome, Essential Thrombocythemia, Myelodysplastic Syndrome, Myelodysplastic/Myeloproliferative Neoplasm, Polycythemia Vera, Previously Treated Myelodysplastic Syndrome, Primary Myelofibrosis. PRIMARY OBJECTIVES: I. To estimate the maximally tolerated dose (MTD) of LDE225 (sonidegib) (days 1-28) in combination with azacitidine (overall); LDE225 (days 1-7) in combination with azacitidine (overall); and LDE225 (days 1-28) in combination with decitabine (overall). (Phase I) II. To estimate the efficacy of LDE225 (days 1-28) in combination with azacitidine in the following subgroups: untreated acute myeloid leukemia (AML)/chronic myelomonocytic leukemia (CMML)/myelodysplastic syndrome (MDS)/myeloproliferative neoplasm (MPN) overlap; relapsed/refractory AML/CMML/MDS/MPN overlap; and myelofibrosis (MF) only. (Phase Ib) SECONDARY OBJECTIVES: I. To estimate the duration of response, time to progression, overall survival, and time to AML or death (for MDS subjects) of LDE225 (days 1-28) in combination with azacitidine (overall and by cohort). (Phase I/1b) TERTIARY OBJECTIVES: I. To conduct correlative studies to measure HH pathway activation and inhibition and explore biomarkers of response. II. To evaluate quality of life (QOL) and patient-reported symptoms using the Myeloproliferative Neoplasm Symptom Assessment Form (MPN-SAF) and European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire (QLQ)-Core ©30 in subjects treated with LDE225 in combination with azacitidine or decitabine. OUTLINE: This is a dose-escalation study of erismodegib. Patients receive azacitidine subcutaneously (SC) or intravenously (IV) on days 1-7, sonidegib orally (PO) once daily (QD) on days 1-28 or 1-7* or decitabine IV on days 1-5. Courses repeat every 28 days in the absence of disease progression or unacceptable toxicity. *NOTE: Sonidegib PO QD is given on days 1-7 if in combination with azacitidine or on days 1-28 is given if in combination with decitabine. After completion of study treatment, patients are followed up every 3 months until progressive disease and then every 6 months f
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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