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KMID : 1114620200170020070
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Journal of the Korean Society for Breast Screening
2020 Volume.17 No. 2 p.70 ~ p.76
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Comparison of conventional CAD and AI-CAD applied to digital mammography in respect of false-positive marks
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Lee Si-Eun
Kim Myeong-Hyun
Kim Eun-Kyung
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Abstract
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Purpose: To retrospectively compare false-positive marks of mammography applied by the conventional computer-assisted detection/diagnosis (CAD) program and artificial intelligence based CAD (AICAD) program through head-to-head setting.
Materials and Methods: Between May 2020 and July 2020, 256 patients who were reported as BIRADS 1 and 2 on mammography and ultrasound which was performed 1 month before or after mammography. We compared false-positive marks per image and patient between the conventional CAD and AI-CAD.
Results: The number of false-positive marks was markedly decreased in the AI-CAD compared with the conventional CAD (0.14, 2.23, respectively, P <0.001). The number of patients without any mark was only 42 (16%) in the conventional CAD while it was 239 (93%) in the AI-CAD.
Conclusion: The AI-CAD showed far fewer false-positive marks than the conventional CAD and it may reduce the reading time and fatigue level of radiologists.
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KEYWORD
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Computer-assisted diagnosis, Artificial Intelligence, Digital Mammography
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