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本文引用的文献

1
Enriched designs for assessing discriminatory performance--analysis of bias and variance.评估判别性能的富集设计——偏差和方差分析。
Stat Med. 2012 Mar 15;31(6):501-15. doi: 10.1002/sim.4432. Epub 2011 Nov 17.
2
A report on the current status of grand rounds in radiology residency programs in the United States.一份关于美国放射科住院医师规范化培训项目中读片会现状的报告。
Acad Radiol. 2011 Dec;18(12):1593-7. doi: 10.1016/j.acra.2011.08.015.
3
Predicting readers' diagnostic accuracy with a new CAD algorithm.用一种新的 CAD 算法预测读者的诊断准确性。
Acad Radiol. 2011 Nov;18(11):1412-9. doi: 10.1016/j.acra.2011.07.007. Epub 2011 Sep 13.
4
Adaptability through cross-training in radiology departments.通过放射科的交叉培训实现适应性。
Radiol Manage. 2011 May-Jun;33(3):45-9.
5
The importance of ROC data.ROC数据的重要性。
Acad Radiol. 2011 Feb;18(2):257-8; author reply 259-61. doi: 10.1016/j.acra.2010.10.016.
6
Improved near-term coronary artery disease risk classification with gated stress myocardial perfusion SPECT.门控应激心肌灌注 SPECT 可改善近期冠心病风险分类。
JACC Cardiovasc Imaging. 2010 Nov;3(11):1139-48. doi: 10.1016/j.jcmg.2010.09.008.
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Radiology. 2010 Oct;257(1):14-7. doi: 10.1148/radiol.10100252.
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On the convexity of ROC curves estimated from radiological test results.基于放射学检测结果估计的 ROC 曲线的凸性。
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BI-RADS data should not be used to estimate ROC curves.BI-RADS 数据不应用于估计 ROC 曲线。
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What's the control in studies measuring the effect of computer-aided detection (CAD) on observer performance?研究中,在评估计算机辅助检测(CAD)对观察者性能影响的测量中,何为对照?
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评估 FDA 的成像和计算机辅助检测与诊断设备。

Evaluating imaging and computer-aided detection and diagnosis devices at the FDA.

机构信息

Division of Imaging and Applied Mathematics, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD 20993-0002, USA.

出版信息

Acad Radiol. 2012 Apr;19(4):463-77. doi: 10.1016/j.acra.2011.12.016. Epub 2012 Feb 3.

DOI:10.1016/j.acra.2011.12.016
PMID:22306064
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5557046/
Abstract

This report summarizes the Joint FDA-MIPS Workshop on Methods for the Evaluation of Imaging and Computer-Assist Devices. The purpose of the workshop was to gather information on the current state of the science and facilitate consensus development on statistical methods and study designs for the evaluation of imaging devices to support US Food and Drug Administration submissions. Additionally, participants expected to identify gaps in knowledge and unmet needs that should be addressed in future research. This summary is intended to document the topics that were discussed at the meeting and disseminate the lessons that have been learned through past studies of imaging and computer-aided detection and diagnosis device performance.

摘要

本报告总结了 FDA-MIPS 联合成像和计算机辅助设备评估方法研讨会。研讨会的目的是收集有关科学现状的信息,并促进统计方法和研究设计方面的共识制定,以支持美国食品和药物管理局的提交。此外,参与者预计将确定知识差距和未满足的需求,这些需求应在未来的研究中得到解决。本总结旨在记录会议讨论的主题,并传播通过过去对成像和计算机辅助检测和诊断设备性能的研究中获得的经验教训。