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Comparison of two reader modes of computer-aided diagnosis in lung nodules on low-dose chest CT scan

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单位: [1]Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Radiol, Jiefang Dadao 1095, Wuhan 430030, Peoples R China [2]Southern Med Univ, Shenzhen Matern & Child Healthcare Hosp, Dept Radiol, Shenzhen 518028, Peoples R China
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关键词: Computed tomography radiation dosage pulmonary nodules computer-assisted deep learning

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Low-dose computerized tomography (LDCT) scanning is of great significance for monitoring and management of pulmonary nodules on chest computerized tomography (CT). Nevertheless, the malignant potential of these nodules is often difficult to detect, especially for some smaller pulmonary nodules on LDCT images. Recent advances using the state-of-art computer-aided detection (CAD) system have attempted to address this problem by identifying small nodules that can be easily missed during clinical practice. CAD is used in two reading modes: Concurrent-reader (CR) mode or second-reader (SR) mode. In this study, we prospectively evaluated the efficiency of a CAD system's SR and CR modes in detecting pulmonary nodules on LDCT. We found that the SR mode improves pulmonary nodule detection regardless of the dose and experience level, especially for interns in the low-dose setting. The CR mode maintains the sensitivity of SR mode while significantly decreasing reading times.

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出版当年[2021]版:
大类 | 3 区 医学
小类 | 3 区 光学 3 区 核医学
最新[2025]版:
大类 | 4 区 医学
小类 | 3 区 光学 4 区 核医学
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出版当年[2020]版:
Q3 OPTICS Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版:
Q2 OPTICS Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

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第一作者单位: [1]Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Radiol, Jiefang Dadao 1095, Wuhan 430030, Peoples R China
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