囊性纤维化患者非结核分枝杆菌感染的流行病学与临床特征

该数据集来源于clinicaltrials.gov,聚焦囊性纤维化患者中非结核分枝杆菌(NTM)感染的流行病学与临床特征

University Hospital, BrestUniversity Hospital, Brest
clinicaltrials
浏览 4
基因组分类Cystic Fibrosis
Epidemiology and Clinical Characteristics of Non-Tuberculous Mycobacteria Infections in Cystic Fibrosis Patients.

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

囊性纤维化患者非结核分枝杆菌感染的流行病学与临床特征

该数据集来源于clinicaltrials.gov,聚焦囊性纤维化患者中非结核分枝杆菌(NTM)感染的流行病学与临床特征。NTM是囊性纤维化中重要的新发病原体,患病率估计为6%至13%。由于感染在部分患者中可无临床症状,而在其他患者中则与显著发病率和死亡率相关,诊断较为困难。治疗需长期联合多种抗生素,至少12至18个月,并因NTM种类及耐药谱而异。该数据可用于研究NTM感染的诊断、治疗及专科管理策略(来源 clinicaltrials.gov)。

【数据内容】

源站描述(机器翻译,仅供参考):条件:囊性纤维化。非结核分枝杆菌(NTM)是囊性纤维化中重要的新发病原体,患病率估计为6%至13%。囊性纤维化患者中该病的诊断较为困难,因为感染在某些病例中可能保持隐匿而无临床后果证据,而在其他患者中NTM与显著的发病率和死亡率相关。治疗需要长期(至少12至18个月)使用多种药物进行抗生素治疗,并因NTM及其抗生素耐药谱而异。在囊性纤维化患者中,针对该感染管理发展专科方法(临床医生/生物学家),并结合NTM感染的诊断与治疗,是一项研究优先事项。对于这一高风险人群,这是一项不可或缺的长期策略。两个主要要素

【主题与分类】

主题标签:Cystic Fibrosis。本站分类:呼吸系统疾病。

【获取与许可】

源站页面:https://clinicaltrials.gov/study/NCT03312075

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。

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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

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。

免费样本无法满足模型训练要求?千方提供经三甲医院脱敏、带病理回证与专家标注的商业级专病数据集。

使用方式

数据集获取

源站:https://clinicaltrials.gov/study/NCT03312075

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: Cystic Fibrosis. Non-tuberculous mycobacteria (NTM) are important new pathogens in cystic fibrosis, with prevalence estimates ranging from 6% to 13%. The diagnosis of the disease in cystic fibrosis patients is difficult because the infection may remain indolent in some cases without evidence of clinical consequence, while in other patients NTM are associated with significant morbidity and mortality. Treatment requires antibiotic therapy over a prolonged period (at least 12 to 18 months) with several drugs and varies according to NTM and their antibiotic resistance profile. The development of a specialized approach (clinicians / biologists) in the management of this infection, combined with the diagnosis and treatment of NTM infections, in cystic fibrosis patients is a research priority. It is an indispensable long-term strategy for this high-risk population. Two main elements confirm the interest of a prevalence survey of NTM infections in cystic fibrosis (CF) patients: the diagnostic difficulty of “true” infections (as opposed to simple colonizations) to NTM, and the clinical impact on respiratory functions of NTM present in these patients. Two recent contradictory studies on the impact of NTM infections in CF patients have recently been published. The German monocentric study suggests a greater deterioration of respiratory function in CF patients not infected with NTM compared to CF patients infected with NTM. 26 patients were infected with NTM: 14/26 with M. avium complex (MAC), 10/26 with M. abscessus complex and 2/26 with M. gordonae. Only 5 patients out of a dozen positive to M. abscessus and 1 in 14 positive to MAC were treated. Comparatively, the other study found a significant deterioration in respiratory function (maximum expired volume in 1 seconde) of CF patients infected with M. abscessus. This Scandinavian national study reinforced its argument by the fact that an effective treatment made it possible to find changes in maximum expired volume in 1 seconde close to that

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。

需要用于商业化训练或医疗器械注册(NMPA/FDA)?

公开数据往往缺乏完整的病理回证与专家标注。千方医数集依托陕川双基地与超十家三甲医院直连,提供完全合规、去标识化、支持注册级质控的专病数据集交易服务。