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首页> 外文期刊>Biomedical Engineering: Applications, Basis and Communications >AUTOMATIC DETECTION OF PULMONARY NODULES IN MDCT: PERFORMANCE EVALUATION WITH INDEPENDENT DATASETS
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AUTOMATIC DETECTION OF PULMONARY NODULES IN MDCT: PERFORMANCE EVALUATION WITH INDEPENDENT DATASETS

机译：MDCT中肺结节的自动检测：具有独立数据集的性能评估

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摘要

The purpose of this study was to evaluate the performance of a computer-aided diagnosis (CAD) system on the detection of pulmonary nodules in multidetector row computed tomography (MDCT) images by using two independent datasets. We collected CT cases of 63 patients with 132 nodules ranging 4-30 mm in diameter from a hospital in Spain (20 patients) and a hospital in France (43 patients). CT examinations were acquired by using a SOMATOM Emotion CT scanner in Spain, and a dual-source SOMATOM Definition CT scanner in France (Siemens Medical System, Forchheim, Germany), with the following parameters: 6 × 1.0mm collimation, 130 kVp, 70mA (Emotion 6); or 64 × 0.6mm collimation, 100-120kVp, and 1OO-110 mAs (Definition 64). Nodules were detected independently by three experienced chest radiologists, and their detection results were used as the reference standard. The CAD scheme was developed with an advanced 3D iris filter for improving nodule detection. The performance of the GAD scheme was tested with an independent evaluation method based on the two databases. Free-response receiver operating characteristic curves, sensitivity and number of false-positive per scan, were employed to evaluate the performance of the CAD scheme. The study was approved by the Institutional Review Board. At an average false positive (FP) rate of 5 per scan, our CAD scheme achieved sensitivities of 79.5% for all nodules, 80.3% for solid, 60.0% for non-solid, 58.1% for spiculated, and 86.1% for non-spiculated nodules. In conclusion, our CAD scheme could be utilized to help radiologists in the detection of lung nodules in CT. However, in this study we confirmed that significant differences could be found in the performance of the system depending on the testing database.
机译：这项研究的目的是通过使用两个独立的数据集，评估计算机辅助诊断（CAD）系统在多探测器行计算机断层扫描（MDCT）图像中检测肺结节的性能。我们从西班牙的一家医院（20例患者）和法国的一家医院（43例患者）收集了63例直径为4-30 mm的132个结节的CT病例。 CT检查是通过使用西班牙的SOMATOM Emotion CT扫描仪和法国的双源SOMATOM Definition CT扫描仪（德国福希海姆的西门子医疗系统）进行的，其参数为：6×1.0mm准直，130 kVp，70mA （情感6）;或64×0.6mm准直，100-120kVp和1OO-110 mAs（定义64）。由三名经验丰富的胸部放射科医生独立检测结节，并将其检测结果用作参考标准。 CAD方案是使用先进的3D虹膜过滤器开发的，用于改善结节检测。 GAD方案的性能通过基于这两个数据库的独立评估方法进行了测试。使用自由响应的接收器工作特性曲线，灵敏度和每次扫描的假阳性数来评估CAD方案的性能。该研究得到机构审查委员会的批准。以平均每次扫描5次的假阳性（FP）率，我们的CAD方案对所有结节的敏感性为79.5％，对固体的敏感性为80.3％，对非固体的敏感性为60.0％，对针刺的敏感性为58.1％，对非针刺的敏感性为86.1％结节。总之，我们的CAD方案可用于帮助放射科医生检测CT中的肺结节。但是，在这项研究中，我们确认可以根据测试数据库在系统性能上找到显着差异。

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