中低收入国家儿科神经病理学实践:机构结对能力建设表格1

包含141例儿童中枢神经系统肿瘤病例的病理诊断复核数据,展示中低收入国家通过机构结对提升诊断能力。

NIAID Data Ecosystem
浏览 8
表格Low- and lower-middle-income countriesdiagnosisbrain tumorpathologyprecision medicineprecision diagnosticsnext generation (deep) sequencing (NGS)targeted therapy
Table_1_Pediatric neuropathology practice in a low- and middle-income country: capacity building through institutional twinning.xlsx

基本信息

模态
表格
大小
0.000025133 GB
许可
CC BY 4.0
创建/更新时间
2026-10-08
版本
v1

资源简介

中低收入国家儿科神经病理学实践:机构结对能力建设表格1

【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 25.13 KB,主题涵盖 Low- and lower-middle-income countries、diagnosis、brain tumor、pathology、precision medicine,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《Table_1_Pediatric neuropathology practice in a low- and middle-income country: capacity building through institutional twinning.xlsx》。配套论文《Building the ecosystem for pediatric neuro‐oncology care in Pakistan: Results of a 7‐year long twinning program between Canada and Pakistan》发表于 Pediatric Blood & Cancer(2022),DOI:10.1002/pbc.29726。源站首次发布:2024-05-03。

【数据内容】

源站原始描述:BackgroundAccurate and precise diagnosis is central to treating central nervous system (CNS) tumors, yet tissue diagnosis is often a neglected focus in low- and middle-income countries (LMICs). Since 2016, the WHO classification of CNS tumors has increasingly incorporated molecular biomarkers into the diagnosis of CNS tumors. While this shift to precision diagnostics promises a high degree of diagnostic accuracy and prognostic precision, it has also resulted in increasing divergence in diagnosti…

【数据结构与技术规格】

文件数 1 个,合计 25.13 KB。Table_1_Pediatric neuropathology practice in a low- and middle-income country: capacity building through institutional twinning.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,25.13 KB。数据集 DOI:10.3389/fonc.2024.1328374.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:Low- and lower-middle-income countries、diagnosis、brain tumor、pathology、precision medicine、precision diagnostics、next generation (deep) sequencing (NGS)、targeted therapy。

【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/Table_1_Pediatric_neuropathology_practice_in_a_low-_and_middle-income_country_capacity_building_through_institutional_twinning_xlsx/25744746

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Gilani, Ahmed; Mushtaq, Naureen; Shakir, Muhammad; Altaf, Ahmed; Siddiq, Zainab; Bouffet, Eric; et al. (2024). Table_1_Pediatric neuropathology practice in a low- and middle-income country: capacity building through institutional twinning.xlsx. Frontiers. Dataset

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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。

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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)

命令行下载

curl -L -o "Table_1_Pediatric neuropathology practice in a low- and middle-income country: capacity building through institutional twinning.xlsx" "https://ndownloader.figshare.com/files/46064472"

文件清单

  • Table_1_Pediatric neuropathology practice in a low- and middle-income country: capacity building through institutional twinning.xlsx(25.13 KB)

文件总体积 25.13 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

BackgroundAccurate and precise diagnosis is central to treating central nervous system (CNS) tumors, yet tissue diagnosis is often a neglected focus in low- and middle-income countries (LMICs). Since 2016, the WHO classification of CNS tumors has increasingly incorporated molecular biomarkers into the diagnosis of CNS tumors. While this shift to precision diagnostics promises a high degree of diagnostic accuracy and prognostic precision, it has also resulted in increasing divergence in diagnostic and management practices between LMICs and high-income countries (HICs). Pathologists and laboratory professionals in LMICs lack the proper training and tools to join the molecular diagnostic revolution. We describe the impact of a 7-year long twinning program between Canada and Pakistan on pathology services.
MethodsDuring the study period, 141 challenging cases of pediatric CNS tumors initially diagnosed at Aga Khan University Hospital (AKUH), Karachi, were sent to the Hospital for Sick Children in Toronto, Canada (SickKids), for a second opinion. Each case received histologic review and often immunohistochemical staining and relevant molecular testing. A monthly multidisciplinary online tumor board (MDTB) was conducted to discuss the results with pathologists from both institutions in attendance.
ResultsDiagnostic discordance was seen in 30 cases. Expert review provided subclassification for 53 cases most notably for diffuse gliomas and medulloblastoma. Poorly differentiated tumors benefited the most from second review, mainly because of the resolving power of specialized immunohistochemical stains, NanoString, and targeted gene panel next-generation sequencing. Collaboration with expert neuropathologists led to validation of over half a dozen immunostains at AKUH facilitating diagnosis of CNS tumors.
ConclusionsLMIC-HIC Institutional twinning provides much-needed training and mentorship to pathologists and can help in infrastructure development by adopting and validating new immunohistochemical stains. Persistent unresolved cases indicate that molecular techniques are indispensable in for diagnosis in a minority of cases. The development of affordable alternative mo

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fonc.2024.1328374.s001(source: https://frontiersin.figshare.com/articles/dataset/Table_1_Pediatric_neuropathology_practice_in_a_low-_and_middle-income_country_capacity_building_through_institutional_twinning_xlsx/25744746)。

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。

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