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放射科医生与计算机辅助检测(CAD)在数字胸部X线片上检测CT确诊的微小肺结节的性能比较。

Comparison of radiologist and CAD performance in the detection of CT-confirmed subtle pulmonary nodules on digital chest radiographs.

作者信息

Bley Thorsten Alexander, Baumann Tobias, Saueressig Ulrich, Pache Gregor, Treier Markus, Schaefer Oliver, Neitzel Ulrich, Langer Mathias, Kotter Elmar

机构信息

Department of Diagnostic Radiology, University Hospital Freiburg, Freiburg, Germany.

出版信息

Invest Radiol. 2008 Jun;43(6):343-8. doi: 10.1097/RLI.0b013e318168f705.

Abstract

OBJECTIVES

Detection of subtle pulmonary nodules on digital radiography is a challenging task for radiologists. The aim of this study was to evaluate the performance of a newly approved computer aided detection (CAD) system.

MATERIALS AND METHODS

The sensitivity of 3 radiologists and of a CAD system for the detection of pulmonary nodules from 5 to 15 mm in size on digital chest radiography of 117 patients was compared. The reference standard was established by consensus reading of computed tomography scans by 2 experienced radiologists. Computed tomography scans and chest radiographs were performed within 4 weeks. Sixty-six pulmonary nodules from 42 patients, with a mean nodule diameter of 7.5 mm (standard deviation: 2.2 mm), were included in the statistical analysis. Seventy-five of the 117 patients did not have nodules from 5 to 15 mm of size.

RESULTS

Two hundred and eighty-eight false-positive detections of the CAD system were found with an average of 2.5 false-positives per image. Sensitivity of the CAD system was 39.4% (95% confidence interval: 11.8%), when compared with 18.2% to 30.3% (95% confidence interval 9.3% to 11.1%) of the 3 radiologists. Substantial agreement for nodule detection ([kappa]N: 0.64-0.73) was found among the 3 radiologists, whereas only moderate agreement was found between the radiologists and the CAD performance ([kappa]N: 0.45-0.52).

CONCLUSIONS

The CAD system's diagnostic sensitivity in detecting pulmonary nodules of 5 to 15 mm of size was superior to the 1 of radiologists. The CAD system may be used for assisting the radiologist in the detection of lung nodules on digital chest radiographs.

摘要

目的

在数字X线摄影中检测细微肺结节对放射科医生来说是一项具有挑战性的任务。本研究的目的是评估一种新批准的计算机辅助检测(CAD)系统的性能。

材料与方法

比较了3名放射科医生和一个CAD系统在117例患者的数字胸部X线摄影中检测5至15毫米大小肺结节的敏感性。参考标准由2名经验丰富的放射科医生通过对计算机断层扫描的共识解读来确定。计算机断层扫描和胸部X线摄影在4周内完成。42例患者的66个肺结节纳入统计分析,平均结节直径为7.5毫米(标准差:2.2毫米)。117例患者中有75例没有5至15毫米大小的结节。

结果

发现CAD系统有288例假阳性检测,平均每张图像有2.5例假阳性。与3名放射科医生的18.2%至30.3%(95%置信区间9.3%至11.1%)相比,CAD系统的敏感性为39.4%(95%置信区间:11.8%)。3名放射科医生之间在结节检测方面有高度一致性(κN:0.64 - 0.73),而放射科医生与CAD性能之间只有中度一致性(κN:0.45 - 0.52)。

结论

CAD系统在检测5至15毫米大小肺结节方面的诊断敏感性优于放射科医生。CAD系统可用于协助放射科医生在数字胸部X线摄影中检测肺结节。

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