不同依从性下血液结直肠癌筛查与粪便筛查的估计影响和价值

比较不同依从率下血液和粪便结直肠癌筛查的临床效果与成本效益的建模分析数据集

NIAID Data Ecosystem
浏览 19
文本Liquid biopsycolorectal neoplasmscomputer simulationearly detection of cancerfeces/chemistryI10I1IC31C3C
Estimated impact and value of blood-based colorectal cancer screening at varied adherence compared with stool-based screening

基本信息

模态
文本
大小
0.000917087 GB
许可
CC BY 4.0
创建/更新时间
2026-10-09
版本
v2

资源简介

不同依从性下血液结直肠癌筛查与粪便筛查的估计影响和价值

【一句话概览】

本数据集是 figshare 公开的文本数据集,收录 2 个文件、合计 917.09 KB,主题涵盖 Liquid biopsy、colorectal neoplasms、computer simulation、early detection of cancer、feces/chemistry,可用于医学自然语言处理(实体识别、信息抽取等),CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Estimated impact and value of blood-based colorectal cancer screening at varied adherence compared with stool-based screening》。配套论文《Estimated impact and value of blood-based colorectal cancer screening at varied adherence compared with stool-based screening》发表于 Journal of Medical Economics(2024),DOI:10.1080/13696998.2024.2349467。源站首次发布:2024-05-13。

【数据内容】

源站原始描述:This analysis estimated the outcomes of triennial blood-based colorectal cancer (CRC) screening at various adherence, including perfect adherence, compared with triennial multi-target stool DNA (mt-sDNA) screening at the reported real-world adherence rate. The validated CRC-AIM model simulated a US cohort of average-risk individuals receiving triennial screening with mt-sDNA or blood-based test from ages 45 to 75 years. Modeled specificity and sensitivity were based on reported data. Adherence w…

【数据结构与技术规格】

文件数 2 个,合计 917.09 KB。ijme_a_2349467_sm1820.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,205.98 KB。ijme_a_2349467_sm1819.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,711.11 KB。数据集 DOI:10.6084/m9.figshare.25721488.v2。

【主题与分类】

源站学科分类:Medicine、Pharmacology、Biotechnology、Environmental Sciences not elsewhere classified、Chemical Sciences not elsewhere classified、Sociology。主题标签:Liquid biopsy、colorectal neoplasms、computer simulation、early detection of cancer、feces/chemistry、I10、I1、I、C31、C3。

【适用方向】

文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。

【获取与许可】

源站页面:https://tandf.figshare.com/articles/dataset/Estimated_impact_and_value_of_blood-based_colorectal_cancer_screening_at_varied_adherence_compared_with_stool-based_screening/25721488

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

规范引用:Estimated impact and value of blood-based colorectal cancer screening at varied adherence compared with stool-based screening. Taylor & Francis. Kisiel, John B.; Fendrick, A. Mark; Ebner, Derek W.; Ozbay, A. Burak; Vahdat, Vahab; Estes, Chris; et al

【使用注意】

· 源站最后修改于 2026-03-17,引用时请注意版本时效。

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(Figshare)

命令行下载

curl -L -o "ijme_a_2349467_sm1820.docx" "https://ndownloader.figshare.com/files/46001962"
curl -L -o "ijme_a_2349467_sm1819.docx" "https://ndownloader.figshare.com/files/46001965"

文件清单

  • ijme_a_2349467_sm1820.docx(205.98 KB)
  • ijme_a_2349467_sm1819.docx(711.11 KB)

文件总体积 917.09 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

This analysis estimated the outcomes of triennial blood-based colorectal cancer (CRC) screening at various adherence, including perfect adherence, compared with triennial multi-target stool DNA (mt-sDNA) screening at the reported real-world adherence rate.
The validated CRC-AIM model simulated a US cohort of average-risk individuals receiving triennial screening with mt-sDNA or blood-based test from ages 45 to 75 years. Modeled specificity and sensitivity were based on reported data. Adherence was set at a real-world rate of 65.6% for mt-sDNA and at 65.6%, relative 10% incremental increases from 65.6%, or 100% for the blood-based test. Costs of mt-sDNA and the blood-based test were based on prices for clinically available tests ($508.87 and $895, respectively). Value-based pricing was estimated at a willingness-to-pay threshold of $100,000.
Both tests resulted in life-years gained (LYG), reduced CRC cases, and reduced deaths versus no screening. With adherence for mt-sDNA set at 65.6% and for blood-based test set at 100%, mt-sDNA resulted in 30% more LYG, 52% more averted CRC cases, and 32% more averted CRC deaths. At reported sensitivity and specificity rates, mt-sDNA at 65.6% adherence dominates (is more effective and less costly) the blood-based test at any adherence. There was no price at which triennial screening with the blood-based test at any adherence was cost-effective compared with mt-sDNA at 65.6% adherence.
Triennial screening with mt-sDNA resulted in better clinical outcomes at a lower cost compared with the modeled blood-based test even at perfect adherence, supporting application of blood-based tests only as a secondary screening option.
Blood-based colorectal cancer screening has lower diagnostic accuracy, lower clinical and health outcomes, and is more expensive than mt-sDNA, even with perfect blood-based screening participation. Although better than no screening at all, blood-based testing is unlikely to exceed performance of stool-based assessment unless a blood-based test is able to meaningfully detect precancerous growths.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.25721488.v2(source: https://tandf.figshare.com/articles/dataset/Estimated_impact_and_value_of_blood-based_colorectal_cancer_screening_at_varied_adherence_compared_with_stool-based_screening/25721488)。

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