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本文引用的文献

1
Effectiveness of computer-aided detection in community mammography practice.社区乳腺钼靶摄影中计算机辅助检测的有效性。
J Natl Cancer Inst. 2011 Aug 3;103(15):1152-61. doi: 10.1093/jnci/djr206. Epub 2011 Jul 27.
2
Computer-aided detection in breast MRI: a systematic review and meta-analysis.计算机辅助检测在乳腺 MRI 中的应用:系统评价和荟萃分析。
Eur Radiol. 2011 Aug;21(8):1600-8. doi: 10.1007/s00330-011-2091-9. Epub 2011 Mar 15.
3
How widely is computer-aided detection used in screening and diagnostic mammography?计算机辅助检测在筛查和诊断性乳房 X 光摄影中应用有多广泛?
J Am Coll Radiol. 2010 Oct;7(10):802-5. doi: 10.1016/j.jacr.2010.05.019.
4
Using computer-aided detection in mammography as a decision support.在乳腺 X 线摄影中使用计算机辅助检测作为决策支持。
Eur Radiol. 2010 Oct;20(10):2323-30. doi: 10.1007/s00330-010-1821-8. Epub 2010 Jun 9.
5
Can computer-aided detection be detrimental to mammographic interpretation?计算机辅助检测会对乳腺钼靶影像解读产生不利影响吗?
Radiology. 2009 Oct;253(1):17-22. doi: 10.1148/radiol.2531090689.
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The preponderance of evidence supports computer-aided detection for screening mammography.大量证据支持在乳腺钼靶筛查中使用计算机辅助检测。
Radiology. 2009 Oct;253(1):9-16. doi: 10.1148/radiol.2531090611.
7
Eye movement statistics in humans are consistent with an optimal search strategy.人类的眼球运动统计数据与一种最优搜索策略相一致。
J Vis. 2008 Mar 7;8(3):4.1-14. doi: 10.1167/8.3.4.
8
Current status and future directions of computer-aided diagnosis in mammography.乳腺钼靶摄影中计算机辅助诊断的现状与未来发展方向
Comput Med Imaging Graph. 2007 Jun-Jul;31(4-5):224-35. doi: 10.1016/j.compmedimag.2007.02.009. Epub 2007 Mar 26.
9
Computer-aided diagnosis in medical imaging: historical review, current status and future potential.医学成像中的计算机辅助诊断:历史回顾、现状与未来潜力
Comput Med Imaging Graph. 2007 Jun-Jul;31(4-5):198-211. doi: 10.1016/j.compmedimag.2007.02.002. Epub 2007 Mar 8.
10
The prevalence effect in a laboratory environment: Changing the confidence ratings.实验室环境中的患病率效应:改变置信度评级。
Acad Radiol. 2007 Jan;14(1):49-53. doi: 10.1016/j.acra.2006.10.003.

何时以及为何计算机辅助检测 (CAD) 系统会干扰视觉搜索?一项眼动研究。

When and why might a computer-aided detection (CAD) system interfere with visual search? An eye-tracking study.

机构信息

Visual Attention Lab, Department of Surgery, Brigham & Women's Hospital, 64 Sidney St. Suite. 170, Cambridge, MA 0213-4170, USA.

出版信息

Acad Radiol. 2012 Oct;19(10):1260-7. doi: 10.1016/j.acra.2012.05.013.

DOI:10.1016/j.acra.2012.05.013
PMID:22958720
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3438519/
Abstract

RATIONAL AND OBJECTIVES

Computer-aided detection (CAD) systems are intended to improve performance. This study investigates how CAD might actually interfere with a visual search task. This is a laboratory study with implications for clinical use of CAD.

METHODS

Forty-seven naive observers in two studies were asked to search for a target, embedded in 1/f(2.4) noise while we monitored their eye movements. For some observers, a CAD system marked 75% of targets and 10% of distractors, whereas other observers completed the study without CAD. In experiment 1, the CAD system's primary function was to tell observers where the target might be. In experiment 2, CAD provided information about target identity.

RESULTS

In experiment 1, there was a significant enhancement of observer sensitivity in the presence of CAD (t(22) = 4.74, P < .001), but there was also a substantial cost. Targets that were not marked by the CAD system were missed more frequently than equivalent targets in no-CAD blocks of the experiment (t(22) = 7.02, P < .001). Experiment 2 showed no behavioral benefit from CAD, but also no significant cost on sensitivity to unmarked targets (t(22) = 0.6, P = NS). Finally, in both experiments, CAD produced reliable changes in eye movements: CAD observers examined a lower total percentage of the search area than the no-CAD observers (experiment 1: t(48) = 3.05, P < .005; experiment 2: t(50) = 7.31, P < .001).

CONCLUSIONS

CAD signals do not combine with observers' unaided performance in a straightforward manner. CAD can engender a sense of certainty that can lead to incomplete search and elevated chances of missing unmarked stimuli.

摘要

目的和理性

计算机辅助检测(CAD)系统旨在提高性能。本研究调查了 CAD 如何实际干扰视觉搜索任务。这是一项具有临床 CAD 应用意义的实验室研究。

方法

在两项研究中,我们要求 47 名无经验的观察者在搜索目标时,在 1/f(2.4) 噪声中搜索目标,同时监测他们的眼球运动。对于一些观察者,CAD 系统标记了 75%的目标和 10%的干扰物,而其他观察者则在没有 CAD 的情况下完成了研究。在实验 1 中,CAD 系统的主要功能是告诉观察者目标可能在哪里。在实验 2 中,CAD 提供了关于目标身份的信息。

结果

在实验 1 中,CAD 的存在显著提高了观察者的敏感性(t(22) = 4.74,P <.001),但也存在很大的代价。未被 CAD 系统标记的目标比实验中无 CAD 块中的等效目标更频繁地被忽略(t(22) = 7.02,P <.001)。实验 2 显示 CAD 没有带来行为上的益处,但对未标记目标的敏感性也没有显著降低(t(22) = 0.6,P = NS)。最后,在两项实验中,CAD 都对眼球运动产生了可靠的变化:CAD 观察者检查的搜索区域总百分比低于无 CAD 观察者(实验 1:t(48) = 3.05,P <.005;实验 2:t(50) = 7.31,P <.001)。

结论

CAD 信号并没有以简单的方式与观察者的非辅助表现相结合。CAD 会产生一种确定性的感觉,导致搜索不完整,并增加错过未标记刺激的可能性。