墨西哥儿童神经肿瘤学资源横断面评估数据表
墨西哥33家医疗机构儿童中枢神经系统肿瘤资源与服务的横断面调查表格数据集,用于评估资源差距和干预优先级。

基本信息
资源简介
墨西哥儿童神经肿瘤学资源横断面评估数据表
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 16.52 KB,主题涵盖 LMIC、pediatric neuro-oncology、pediatric brain tumors、care capacity、resource availability,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《DataSheet_1_Resources for the practice of pediatric neuro-oncology in Mexico: a cross-sectional evaluation.docx》。配套论文《Challenges and opportunities to advance pediatric neuro-oncology care in the developing world》发表于 Child''s Nervous System(2015),DOI:10.1007/s00381-015-2771-x。源站首次发布:2024-06-21。
【数据内容】
源站原始描述:BackgroundThe evaluation of existing resources and services is key to identify gaps and prioritize interventions to expand care capacity for children with central nervous system (CNS) tumors. We sought to evaluate the resources for pediatric neuro-oncology (PNO) in Mexico. MethodsA cross-sectional online survey with 35 questions was designed to assess PNO resources and services, covering aspects including number of patients, infrastructure, human resources, and diagnostic and treatment time inte…
【数据结构与技术规格】
文件数 1 个,合计 16.52 KB。DataSheet_1_Resources for the practice of pediatric neuro-oncology in Mexico: a cross-sectional evaluation.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,16.52 KB。数据集 DOI:10.3389/fonc.2024.1330705.s001。
【主题与分类】
源站学科分类:Cancer、Haematological Tumours、Molecular Targets、Radiation Therapy、Oncology and Carcinogenesis not elsewhere classified、Solid Tumours。主题标签:LMIC、pediatric neuro-oncology、pediatric brain tumors、care capacity、resource availability。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://frontiersin.figshare.com/articles/dataset/DataSheet_1_Resources_for_the_practice_of_pediatric_neuro-oncology_in_Mexico_a_cross-sectional_evaluation_docx/26074519
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Arce-Cabrera, Daniela; Escamilla-Asiain, Gabriela; Nájera-Castillo, Melisa F.; del Campo, Regina M. Navarro-Martín; Ortiz-Azpilcueta, Mariana; Pantoja-Guillén, Francisco J.; et al. (2024). DataSheet_1_Resources for the practice of pediatric neuro-oncology in Mexico: a cross-sectional evaluation.docx…
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(Figshare)
- 源站标题:DataSheet_1_Resources for the practice of pediatric neuro-oncology in Mexico: a cross-sectional evaluation.docx
- DOI:10.3389/fonc.2024.1330705.s001
- 发布日期:2024-06-21
- 文件数:1 个
- 文件总体积:16.52 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/DataSheet_1_Resources_for_the_practice_of_pediatric_neuro-oncology_in_Mexico_a_cross-sectional_evaluation_docx/26074519
命令行下载
curl -L -o "DataSheet_1_Resources for the practice of pediatric neuro-oncology in Mexico: a cross-sectional evaluation.docx" "https://ndownloader.figshare.com/files/47169124"
文件清单
DataSheet_1_Resources for the practice of pediatric neuro-oncology in Mexico: a cross-sectional evaluation.docx(16.52 KB)
文件总体积 16.52 KB(源站 API 实测)。
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。
数据说明
BackgroundThe evaluation of existing resources and services is key to identify gaps and prioritize interventions to expand care capacity for children with central nervous system (CNS) tumors. We sought to evaluate the resources for pediatric neuro-oncology (PNO) in Mexico.
MethodsA cross-sectional online survey with 35 questions was designed to assess PNO resources and services, covering aspects including number of patients, infrastructure, human resources, and diagnostic and treatment time intervals. The survey was distributed to the members of the Mexican Association of Pediatric Oncology and Hematology (AMOHP) who belong to the nation’s many different health systems.
ResultsResponses were obtained from 33 institutions, distributed throughout the country and part of the many health systems that exist in Mexico. Twenty-one (64%) institutions had less than 10 new cases of pediatric CNS tumors per year. Although 30 (91%) institutions saw pediatric patients up to the age of 18 years, 2 (6%) had a cutoff of 15 years. Twenty-four (73%) institutions had between 1 and 3 pediatric oncologists providing care for children with CNS tumors. Six (18%) institutions did not have a neurosurgeon, while 19 (57%) institutions had a pediatric neurosurgeon. All centers had a pathology department, but 13 (39%) institutions only had access to basic histopathology. Eleven (33%) institutions reported histopathological diagnoses within one week, but 3 (9%) took more than 4 weeks. Radiotherapy for pediatric CNS tumors was referred to outside centers at 18 (55%) institutions. All centers had access to conventional cytotoxic chemotherapy, but only 6 (18%) had access to targeted therapy. Eighteen (55%) respondents estimated a survival rate of less than 60%. Fifteen (45%) centers attributed the main cause of mortality to non-tumor related factors, including infection and post-surgical complications.
ConclusionsThis is the first national assessment of the resources available in Mexico for the treatment of CNS tumors. It shows disparities in resource capacity and a lack of the specific and efficient diagnoses that allow timely initiation of treatment. These data will enable the prioritization
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fonc.2024.1330705.s001(source: https://frontiersin.figshare.com/articles/dataset/DataSheet_1_Resources_for_the_practice_of_pediatric_neuro-oncology_in_Mexico_a_cross-sectional_evaluation_docx/26074519)。
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。




