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胸部 CT 检查中的多项诊断任务表现。

Multiple diagnostic task performance in CT examination of the chest.

机构信息

Department of Radiology, The University of Iowa Roy J. and Lucille A. Carver College of Medicine, Iowa City, IA, USA.

出版信息

Br J Radiol. 2013 Jan;86(1021):20110799. doi: 10.1259/bjr.20110799.

Abstract

Objectives In three experiments, we studied the detection of multiple abnormality types using the satisfaction of search (SOS) paradigm, the provision of a computer-aided detection (CAD) of pulmonary nodules and a focused nodule detection task. Methods 51 chest CT examinations (24 that demonstrated subtle pulmonary nodules and 27 that demonstrated no pulmonary nodules) were read by 15 radiology residents and fellows under two experimental conditions: (1) when there were no other abnormalities present except test abnormalities in the exams (non-SOS condition), and (2) when other abnormalities were present in the exams (SOS condition). Trials from the two conditions were intermixed. Readers were invited to return for two sessions: one in which the SOS condition was repeated with a simulated CAD; another in which only the non-SOS condition was presented. Detection accuracy was measured using receiver operating characteristic (ROC) analysis. Results An SOS effect (reduced detection accuracy for the test nodules in the presence of the diverse added abnormalities) was not found. Average accuracy was much higher when the CAD prompt was provided, without cost in the detection of the added abnormalities. Accuracy for detecting nodules appearing without intermixed SOS trials was also substantially improved. Conclusions CT interpretation was highly task dependent. Nodule detection was poor in the general search task. Therefore, CAD may offer a greater performance improvement than demonstrated in experiments assessing CAD using focused search. The absence of SOS may be due to limited nodule detection even without other abnormalities. Advances in knowledge CAD prompts of nodules increase the detection accuracy of nodules and decrease the time to detection-without impairing the detection accuracy-of non-nodule abnormalities.

摘要

目的 在三项实验中,我们使用搜索满意度 (SOS) 范式、计算机辅助检测 (CAD) 肺结节以及焦点结节检测任务,研究了多种异常类型的检测。

方法 15 名放射科住院医师和研究员在两种实验条件下阅读了 51 次胸部 CT 检查(24 次显示出细微的肺结节,27 次显示无肺结节):(1)检查中除了测试异常外没有其他异常(非 SOS 条件),(2)检查中存在其他异常(SOS 条件)。两种条件下的试验是混合的。邀请读者参加两个会议:一个是重复 SOS 条件并带有模拟 CAD 的会议;另一个是仅呈现非 SOS 条件的会议。使用接收者操作特征 (ROC) 分析测量检测准确性。

结果 未发现 SOS 效应(在存在多种添加异常的情况下,测试结节的检测准确性降低)。当提供 CAD 提示时,平均准确性要高得多,而不会降低对添加异常的检测。在出现无混合 SOS 试验的结节的检测中,准确性也有了显著提高。

结论 CT 解释高度依赖于任务。在一般搜索任务中,结节检测效果不佳。因此,CAD 可能会提供比使用焦点搜索评估 CAD 的实验中所展示的更大的性能改进。缺乏 SOS 可能是由于即使没有其他异常,结节检测也有限。

知识的进步 CAD 对结节的提示提高了结节的检测准确性,并缩短了检测时间,而不会降低对非结节异常的检测准确性。

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