Dupilumab 治疗无鼻息肉慢性鼻窦炎患者的疗效

该数据集来自 clinicaltrials.gov,主题为 Dupilumab 用于无鼻息肉慢性鼻窦炎(CRSsNP)患者的疗效研究

Johns Hopkins UniversityJohns Hopkins University
clinicaltrials
浏览 20
基因组分类Chronic Sinusitis
Efficacy of Dupilumab for Patients With Chronic Rhinosinusitis Without Nasal Polyps (CRSsNP)

基本信息

模态
基因组
任务类型
分类
创建/更新时间
2026-10-12

资源简介

Dupilumab 治疗无鼻息肉慢性鼻窦炎患者的疗效

该数据集来自 clinicaltrials.gov,主题为 Dupilumab 用于无鼻息肉慢性鼻窦炎(CRSsNP)患者的疗效研究。源站描述指出,美国、英国等工业化国家约 12% 成人患有慢性鼻窦疾病,皮质类固醇与抗生素治疗方案证据有限且仅能暂时缓解,长期口服类固醇有不良反应、抗生素过度使用可能扰乱黏膜微生物群,美国约 3000 万患者缺乏足够治疗选择。近期 3 期临床试验发现 dupilumab 可减轻伴鼻息肉慢性鼻窦炎患者的症状与息肉大小,抗 IL-5 抗体也有类似表现。数据可用于相关疾病治疗研究的分类与参考(来源 clinicaltrials.gov)。

【数据内容】

源站描述(机器翻译,仅供参考):条件:慢性鼻窦炎。在美国、英国及其他工业化国家,约 12% 的成人患有慢性鼻窦疾病。皮质类固醇和抗生素方案常用于治疗该病,但支持该方法的证据水平有限,且最多只能提供暂时性的解决方案。此外,长期口服类固醇使用带来的不良副作用,以及对过度使用抗生素导致黏膜微生物群偏移的担忧,使这些选择存在问题。目前,对于美国约 3000 万患有慢性鼻窦疾病的患者而言,可用的治疗选择不足。近期 3 期临床试验发现,dupilumab 是一种抗 IL4α 受体单克隆抗体,可减轻伴鼻息肉慢性鼻窦炎(CRSwNP)患者的症状和息肉大小。同样,抗 IL-5 抗体也已被证明

【主题与分类】

主题标签:Chronic Sinusitis。本站分类:感染性疾病。

【获取与许可】

源站页面:https://clinicaltrials.gov/study/NCT04362501

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

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。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

帮我联系

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/NCT04362501

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: Chronic Sinusitis. Approximately 12% of adults in the United States, United Kingdom and other industrialized nations suffer from chronic sinus disease. Corticosteroids and antibiotic regimens are often used to treat the condition but the level of evidence to justify this approach is limited and at best offers only a transient solution. Furthermore, adverse side effects from the use of long-term oral steroids and concerns about skewing of the mucosal microbiota from overuse of antibiotics make these options problematic. Currently, there are insufficient options for the approximately 30 million patients in the US suffering from chronic sinus disease. Recent phase 3 clinical trials found that dupilumab, an anti-IL4α receptor monoclonal antibody, reduces symptoms and polyp size in individuals with CRS with nasal polyps (CRSwNP). Similarly anti-IL5 antibodies have also been shown to have modest efficacy in this group of patients. However, for the approximately 65% of individuals with non-polyp related chronic sinus disease, these agents were not evaluated and there remains few viable options for therapy. Chronic rhinosinusitis is defined as symptoms of nasal obstruction, facial pain or pressure, and mucopurulent drainage for at least 12 weeks along with evidence of mucosal disease by radiographic evidence or rhinoscopy. At least ten endotypes have been described although there is considerable overlap in terms of mucosal morphology, allergic status, the presence of polypoid tissue, and expression of biomarkers such as cytokines, specific IgE and other proteins. It may be incorrect to assume that the effectiveness of dupilumab demonstrated for those suffering with nasal polyps is exclusive to this CRS cluster alone. One aspect to explain the differential effects of certain drugs and biologics on the treatment of CRS relates to host nasal and sinus microbial environment. The microbiome of CRS patients has been found to have reduced diversity, increased bacterial populations, and ultimately to

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。

数据缺失?

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。

⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。

获取专属数据定制方案