评估医生筛查表现挑战的应对：以乳腺X线摄影为例
以乳腺X线摄影为例，包含医生筛查性能指标和基准的表格数据集，用于评估医生癌症筛查表现。
基本信息
资源简介
评估医生筛查表现挑战的应对：以乳腺X线摄影为例
【数据集背景】
本数据集源站标题为《Addressing the Challenge of Assessing Physician-Level Screening Performance: Mammography as an Example》。配套论文《Addressing the Challenge of Assessing Physician-Level Screening Performance: Mammography as an Example》发表于 PLoS ONE（2014），DOI：10.1371/journal.pone.0089418。源站首次发布：2014-02-21。
【数据内容】
源站原始描述：Background Motivated by the challenges in assessing physician-level cancer screening performance and the negative impact of misclassification, we propose a method (using mammography as an example) that enables confident assertion of adequate or inadequate performance or alternatively recognizes when more data is required. Methods Using established metrics for mammography screening performance–cancer detection rate (CDR) and recall rate (RR)–and observed benchmarks from the Breast Cancer Surveill…
【数据结构与技术规格】
文件数 3 个，合计 1.18 MB。Figure_S1.eps：application/postscript，563.99 KB。Figure_S2.eps：application/postscript，579.42 KB。Materials_S1.docx：application/vnd.openxmlformats-officedocument.wordprocessingml.document，36.16 KB。数据集 DOI：10.1371/journal.pone.0089418。
【主题与分类】
源站学科分类：Medicine。主题标签：Diagnostic medicine、Test evaluation、oncology、Cancer detection and diagnosis、Cancer screening、Mental health、psychology、behavior、Human performance、Non-clinical medicine。
【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://plos.figshare.com/articles/dataset/_Addressing_the_Challenge_of_Assessing_Physician_Level_Screening_Performance_Mammography_as_an_Example_/941626
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：S. Burnside, Elizabeth; Lin, Yunzhi; Munoz del Rio, Alejandro; J. Pickhardt, Perry; Wu, Yirong; M. Strigel, Roberta; et al. (2016). Addressing the Challenge of Assessing Physician-Level Screening Performance: Mammography as an Example. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2023-06-01，引用时请注意版本时效。
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。
使用方式
数据集获取（Figshare）
- 源站标题：Addressing the Challenge of Assessing Physician-Level Screening Performance: Mammography as an Example
- DOI：10.1371/journal.pone.0089418
- 发布日期：2014-02-21
- 文件数：3 个
- 文件总体积：1.18 MB
- 源站页面：https://plos.figshare.com/articles/dataset/_Addressing_the_Challenge_of_Assessing_Physician_Level_Screening_Performance_Mammography_as_an_Example_/941626
命令行下载
curl -L -o "Figure_S1.eps" "https://ndownloader.figshare.com/files/1394920"
curl -L -o "Figure_S2.eps" "https://ndownloader.figshare.com/files/1394921"
curl -L -o "Materials_S1.docx" "https://ndownloader.figshare.com/files/1394922"
文件清单
Figure_S1.eps（563.99 KB）Figure_S2.eps（579.42 KB）Materials_S1.docx（36.16 KB）
文件总体积 1.18 MB（源站 API 实测）。
数据说明
Background
Motivated by the challenges in assessing physician-level cancer screening performance and the negative impact of misclassification, we propose a method (using mammography as an example) that enables confident assertion of adequate or inadequate performance or alternatively recognizes when more data is required.
Methods
Using established metrics for mammography screening performance–cancer detection rate (CDR) and recall rate (RR)–and observed benchmarks from the Breast Cancer Surveillance Consortium (BCSC), we calculate the minimum volume required to be 95% confident that a physician is performing at or above benchmark thresholds. We graphically display the minimum observed CDR and RR values required to confidently assert adequate performance over a range of interpretive volumes. We use a prospectively collected database of consecutive mammograms from a clinical screening program outside the BCSC to illustrate how this method classifies individual physician performance as volume accrues.
Results
Our analysis reveals that an annual interpretive volume of 2770 screening mammograms, above the United States’ (US) mandatory (480) and average (1777) annual volumes but below England’s mandatory (5000) annual volume is necessary to confidently assert that a physician performed adequately. In our analyzed US practice, a single year of data uniformly allowed confident assertion of adequate performance in terms of RR but not CDR, which required aggregation of data across more than one year.
Conclusion
For individual physician quality assessment in cancer screening programs that target low incidence populations, considering imprecision in observed performance metrics due to small numbers of patients with cancer is important.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0089418（source: https://plos.figshare.com/articles/dataset/_Addressing_the_Challenge_of_Assessing_Physician_Level_Screening_Performance_Mammography_as_an_Example_/941626）。
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。
