February 2015
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3 Reads
Objective: To evaluate the impact of a available computer-aided detection (CAD) system with an interactive lung nodules analysis software on detecting the pulmonary nodules on digital chest radiograph with image processing. Methods: Totally 248 normal subjects and 30 patients with pulmonary nodules confirmed by chest CT were enrolled. Philips UNIQUE software was used to process these images in high-frequency and low frequency. Two experienced chest radiologists (10+ years of experience) read these imaging pictures combined with the relating CT images to mark the location of all nodules with consensus, then stored the diagnostic reports of the marked nodules as golden standard in the CAD. Then CAD system read these images. Two radiologists evaluated the false-positive and sensitivity detection of lung nodules of CAD system on the multiscale processing. Results: There were 715, 585 and 286 false-positive nodules respectively on 248 subjects in low frequency, routine frequency and high frequency imagings with an average of 2.88, 2.36 and 1.15 false-positives area (P<0.05). There were 38 lung nodules in 30 digital chest radiographies, the CAD system detected 33, 30 and 28 nodules respectively in low-pass images, standard images and high-pass images, the detection sensitivity was 86.84%, 78.95% and 73.68%, respectively, and the area under the ROC curve was 0.722, 0.670 and 0.618, respectively. Conclusion: The prophase experimental results indicate the image multiscale processing of digital chest radiograph does not impact the detectivity of this CAD system, but there are a tendency to increase gradually in detection with false-positive in low-frequency, routine-frequency and high-frequency, and there is a tendency to descend gradually in the detection sensitivity with three multiscale processing images. Copyright © 2015 by the Press of Chinese Journal of Medical Imaging and Technology.