Sheffield Hallam University, UK.
Radiography (Lond). 2020 Aug;26(3):e170-e178. doi: 10.1016/j.radi.2020.01.002. Epub 2020 Jan 29.
Using published literature, this research examines whether Computer-aided Detection (CAD) identifies more Pulmonary Nodules (PN) within Chest X-ray (CXR) systems, compared to radiologist diagnosis without CAD.
Although the primary papers were pointing to CAD being a beneficial system in the diagnosis of PN detection, a regression analysis of the data available within these papers showed no correlation between the higher sensitivity of CAD against the detrimental high False Positives (FP) of CAD. Findings of the studies were deemed inconclusive.
Further research is recommended to review the potential of CAD on CXR PN detection.
CAD acting as a second reader could potentially reduce interpreter error rate.
本研究利用已发表的文献，考察计算机辅助检测（CAD）系统与无 CAD 的放射科医师诊断相比，是否能在胸部 X 射线（CXR）系统中发现更多的肺结节（PN）。
尽管主要的论文都指出 CAD 系统在 PN 检测的诊断中是有益的，但对这些论文中可用数据的回归分析显示，CAD 的高敏感性与 CAD 的高假阳性（FP）之间没有相关性。研究结果被认为没有定论。
建议进一步研究以评估 CAD 在 CXR PN 检测中的应用潜力。
CAD 作为第二读片者，可能有助于降低解释器的错误率。
