白血病SPORE II期DAC研究:复发难治及老年急性AML和MDS

该数据集来自clinicaltrials.gov,聚焦复发难治及老年急性髓系白血病(AML)和骨髓增生异常综合征(MDS)的II期DAC研究

Fox Chase Cancer CenterFox Chase Cancer Center
clinicaltrials
浏览 11
其他分类Acute Myeloid LeukemiaMyelodysplastic SyndromeChronic Myelomonocytic Leukemia
Leukemia SPORE Phase II DAC Study for R/R and Elderly Acute AML and MDS

基本信息

模态
其他
任务类型
分类
创建/更新时间
2026-10-12

资源简介

白血病SPORE II期DAC研究:复发难治及老年急性AML和MDS

该数据集来自clinicaltrials.gov,聚焦复发难治及老年急性髓系白血病(AML)和骨髓增生异常综合征(MDS)的II期DAC研究。研究纳入急性髓系白血病、骨髓增生异常综合征及慢性粒单核细胞白血病患者,按入组顺序分组:前30例随机等分入三组,之后入组者更可能分配至疗效更优组。三组分别接受地西他滨单药、地西他滨联合卡铂、地西他滨联合三氧化二砷治疗,每4周为一周期,地西他滨于每周期第1-5天静脉给药约1小时。数据可用于白血病治疗方案的分类与疗效比较研究(来源 clinicaltrials.gov)。

【数据内容】

源站描述(机器翻译,仅供参考):条件:急性髓系白血病、骨髓增生异常综合征、慢性粒单核细胞白血病。研究分组:如果参与者被认定符合参加本研究的资格,并且他/她是前30名入组的参与者之一,那么参与者将有同等机会被分入3个研究组之一。如果参与者在首批30名参与者入组之后入组,他/她将有更高机会被分配到结果更好的组。 如果参与者被分入第1组,他/她将仅接受地西他滨治疗。 如果参与者被分入第2组,他/她将接受地西他滨和卡铂治疗。* 如果参与者被分入第3组,他/她将接受地西他滨和三氧化二砷治疗。研究药物给药:每4周为一个研究周期。参与者将在每个周期的第1-5天通过静脉接受地西他滨,输注约1小时。如果参与者正在接受卡

【主题与分类】

主题标签:Acute Myeloid Leukemia、Myelodysplastic Syndrome、Chronic Myelomonocytic Leukemia。本站分类:肿瘤/白血病。

【获取与许可】

源站页面:https://clinicaltrials.gov/study/NCT02190695

官方服务

专家保障全链路合规授权与标注交付

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从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

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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/NCT02190695

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: Acute Myeloid Leukemia, Myelodysplastic Syndrome, Chronic Myelomonocytic Leukemia. Study Groups: If the participant is found to be eligible to take part in this study and he/she is one of the first 30 participants enrolled, the participant will have an equal chance of being in one of 3 study groups. If the participant enrolls after the first 30 participants are enrolled, he/she will have a higher chance of being assigned to the group is having better results. * If participant is in Group 1, he/she will receive decitabine alone. * If participant is in Group 2, he/she will receive decitabine and carboplatin. * If participant is in Group 3, he/she will receive decitabine and arsenic trioxide. Study Drug Administration: Every 4 weeks is a study cycle. The participant will receive decitabine by vein over about 1 hours on Days 1-5 of each cycle. If the participant is receiving carboplatin, he/she will receive it over 1 hour on Day 8 (+/-2 days) of each cycle. If the participant is receiving arsenic trioxide, he/she will receive it over about 1 hour on Days 1-5 of each cycle Study Visits: Blood (about 1-2 teaspoons) will be drawn 1-2 times a week during Cycle 1 and then every 2-4 weeks after that for routine tests. If you have stable disease, blood will only be drawn every 4-6 weeks. On Day 28 of Cycle 3 (+/- 3 days), the participant will have a bone marrow aspirate and biopsy to check the status of the disease. After that, the participant will have bone marrow biopsies/aspirations when the doctor thinks it is needed. If the participant is in Group 3, he/she will have EKGs on Day 1 of each cycle before receiving the study drugs. On Days 1 and 4 of each cycle, blood (about 1-2 teaspoons) will also be drawn for routine tests before their dose of the study drugs. If the participant is taken off study, blood (about 1-2 teaspoons) will be drawn for routine tests. Length of Study: The participant may continue taking the study drugs for as long as the doctor thinks it is in your best interest. The participant will no longer be able to take the study drug(s) if

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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依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。

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