德国西南部骨与软组织肉瘤诊断分布差异多中心分析表1

德国西南部肉瘤诊断分布及专科与非专科中心治疗差异的表格数据。

NIAID Data Ecosystem
浏览 15
表格soft tissue sarcomabone sarcomawhite-spot analysiscancer registrygeographic disparitiesspecialized sarcoma centerreal world data
Table 1_An analysis of the distribution of bone and soft tissue sarcoma diagnoses and their disparities in Southwest Germany: a multicenter approach.docx

基本信息

模态
表格
大小
0.000036142 GB
许可
CC BY 4.0
创建/更新时间
2026-10-07
版本
v1

资源简介

德国西南部骨与软组织肉瘤诊断分布差异多中心分析表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 36.14 KB,主题涵盖 soft tissue sarcoma、bone sarcoma、white-spot analysis、cancer registry、geographic disparities,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_An analysis of the distribution of bone and soft tissue sarcoma diagnoses and their disparities in Southwest Germany: a multicenter approach.docx》。配套论文《WHO classification of soft tissue tumours 2020: An update and simplified approach for radiologists》发表于 European Journal of Radiology(2021),DOI:10.1016/j.ejrad.2021.109937。源站首次发布:2025-10-22。

【数据内容】

源站原始描述:IntroductionSarcoma is a rare and highly heterogeneous family of mesenchymal tumors. The experience and interdisciplinary approach of specialized high-volume sarcoma centers has a significant impact on disease treatment and outcome for patients. The aim of this retrospective, real-world, multicenter study was to evaluate geographic distribution of sarcoma cases in Southwest Germany and visually depict possible underrepresented areas of sarcoma primary diagnoses. Such descriptive information may…

【数据结构与技术规格】

文件数 1 个,合计 36.14 KB。Table 1_An analysis of the distribution of bone and soft tissue sarcoma diagnoses and their disparities in Southwest Germany: a multicenter approach.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,36.14 KB。数据集 DOI:10.3389/fonc.2025.1592004.s001。

【主题与分类】

源站学科分类:Oncology and Carcinogenesis not elsewhere classified。主题标签:soft tissue sarcoma、bone sarcoma、white-spot analysis、cancer registry、geographic disparities、specialized sarcoma center、real world data。

【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_An_analysis_of_the_distribution_of_bone_and_soft_tissue_sarcoma_diagnoses_and_their_disparities_in_Southwest_Germany_a_multicenter_approach_docx/30414109

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

规范引用:Calukovic, Branko; Benzler, Katrin; Carter, Mary E.; Daigeler, Adrien; Thiel, Johannes T.; Jakob, Jens; et al. (2025). Table 1_An analysis of the distribution of bone and soft tissue sarcoma diagnoses and their disparities in Southwest Germany: a multicenter approach.docx. Frontiers. Dataset

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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_An analysis of the distribution of bone and soft tissue sarcoma diagnoses and their disparities in Southwest Germany: a multicenter approach.docx" "https://ndownloader.figshare.com/files/58938625"

文件清单

  • Table 1_An analysis of the distribution of bone and soft tissue sarcoma diagnoses and their disparities in Southwest Germany: a multicenter approach.docx(36.14 KB)

文件总体积 36.14 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

IntroductionSarcoma is a rare and highly heterogeneous family of mesenchymal tumors. The experience and interdisciplinary approach of specialized high-volume sarcoma centers has a significant impact on disease treatment and outcome for patients. The aim of this retrospective, real-world, multicenter study was to evaluate geographic distribution of sarcoma cases in Southwest Germany and visually depict possible underrepresented areas of sarcoma primary diagnoses. Such descriptive information may indirectly guide future referral patterns and outreach activities of specialized sarcoma centers.
MethodsThe absolute number and incidence of sarcoma patients obtained from the Baden-Württemberg Cancer Registry were compared with the data from five individual, high-volume, specialized sarcoma centers. Furthermore, we used a “White-Spot Analysis” as a novel cost-effective approach in epidemiological and public health research for analyzing health care coverage in sarcoma care.
ResultsA total of 4,087 sarcoma patients living in the German Federal State of Baden-Württemberg between 2019 and 2022 were included in this study. Of these, 1,650 patients (40%) were treated primarily in specialized sarcoma centers whilst 2,437 patients (60%) received treatment for sarcoma outside of the five main high-volume centers, in underrepresented areas identified through White-Spot Analysis. The sarcoma incidence in Baden-Württemberg was calculated with our data to be 9.18/100,000 inhabitants per year.
DiscussionIn future, the access to high-volume centers needs to be facilitated in order to minimize the observed discrepancies between treatment in specialized sarcoma centers and low-volume centers in Southwest Germany. Our analysis highlights such discrepancies and may support future efforts to improve outcomes for sarcoma patients.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fonc.2025.1592004.s001(source: https://frontiersin.figshare.com/articles/dataset/Table_1_An_analysis_of_the_distribution_of_bone_and_soft_tissue_sarcoma_diagnoses_and_their_disparities_in_Southwest_Germany_a_multicenter_approach_docx/30414109)。

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