Pulmonary Nodules: Automated Detection on CT Images with Morphologic Matching Algorithm—Preliminary Results
作者： Kyongtae T. Bae , Jin-Sung Kim , Yong-Hum Na , Kwang Gi Kim , Jin-Hwan Kim
DOI: 10.1148/RADIOL.2361041286
关键词: Reference standards 、 Computed tomographic 、 Pulmonary nodule 、 Volumetric data 、 Nodule detection 、 Patient Consent 、 Patient confidentiality 、 Nuclear medicine 、 Medicine 、 Nodule (medicine) 、 Radiology
摘要: Institutional review board approval was obtained. Informed patient consent not required for this retrospective study, which involved of previously obtained image data. Patient confidentiality protected; the study compliant with Health Insurance Portability and Accountability Act. An automated pulmonary nodule detection program that takes advantage three-dimensional volumetric data developed tested multi-detector row computed tomographic (CT) images from 20 patients (13 men, seven women; age range, 40-75 years) nodules. A total 164 nodules 3 mm in diameter larger were detected by two radiologists consensus used as a reference standard to evaluate computer-aided (CAD) program. The CAD algorithm structured process categorized into three types: isolated, juxtapleural, juxtavascular. Overall sensitivity 95.1% (156 nodules). according size 91.2% (52 57 nodules) less than 5 97.2% (104 107 larger. number false-positive detections per 6.9 false structures 4.0
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