Lung nodule computer-aided detection as a second reader: influence on radiology residents

Journal of Computer Assisted Tomography
Shawn D TeagueEkta Dharaiya

Abstract

The purpose of this study was to evaluate the use of a computed tomographic lung nodule computer-aided detection (CAD) software as a second reader for radiology residents. The study involved 110 cases from 4 sites. Three expert radiologists identified nodules that were 4 to 30 mm in maximum diameter to form the ground truth. These cases were then interpreted by 6 board-certified radiologists and 6 radiology residents. The residents read each case without and then with a CAD software (Lung Nodule Assesment, Extended Brilliance Workspace; Philips Healthcare, Highlands Heights, OH) to identify nodules that were 4 to 30 mm in maximum diameter. The experts identified 91 nodules as the ground truth for the study. The mean sensitivity of the 6 board-certified radiologists was 89%. The mean sensitivity of the residents was 85% without the CAD and 90% (P < 0.05) with the CAD as a second reader. The CAD software can help improve the sensitivity of residents in the detection of pulmonary nodules on computed tomography, making them comparable with board-certified radiologists.

References

Apr 18, 2002·AJR. American Journal of Roentgenology·Claudia I HenschkeUNKNOWN ELCAP Group
Apr 12, 2005·Chest·Juan P WisniveskyClaudia I Henschke
May 19, 2005·Seminars in Roentgenology·Daniel A Moses, Jane P Ko
Feb 19, 2008·Academic Radiology·Charles S WhiteEkta Dharaiya
Jul 31, 2008·Journal of Computer Assisted Tomography·Jin Mo GooKyongtae T Bae
Oct 1, 2006·PET Clinics·Shawn D Teague, Dewey J Conces

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