Automated detection of lung nodules in multidetector CT: Influence of different reconstruction protocols on performance of a software prototype
Automated detection of lung nodules in multidetector CT: Influence of different reconstruction protocols on performance of a software prototype
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DOI：
10.1055/s-2005-858831
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发表时间：
2006-01-01
影响因子：
1.8
通讯作者：
Vogl, TJ
中科院分区：
文献类型：
--
作者：
Gurung, J;Maataoui, A;Vogl, TJ
目的：评估在多排 CT 中使用不同重建切片厚度协议进行肺结节计算机辅助检测 (CAD) 软件的准确性。材料和方法：对 15 名接受 16 排多排 CT（MDCT）已知肺结节的患者的原始图像数据集进行重建，重建厚度分别为 5.0、2.0 和 1.0 mm，重建增量分别为 1.5、1.0 和 0.5 mm。 LungCare 的“结节增强查看”（NEV）工具用于计算机辅助检测肺结节，该工具被应用于重建图像。重建的图像也被蒙蔽，然后由 2 名放射科医生（A 和 B）进行评估。然后，将评估放射科医生和 CAD 的数据与根据 2 位经验丰富的独立胸部放射科医生的共识建立的独立参考标准进行比较。符合条件的结节根据其大小（直径> 10、5 - 10、< 5 mm）进行分组以进行评估。使用接受者操作特征 (ROC) 曲线分析、t 检验和两位评估者 Cohen 的 Kappa 系数进行统计分析。结果：共有103个结节被共识小组纳入参考标准。在 5.0 毫米重建厚度下，CAD 的性能略低于读取器的性能（A、B 和 CAD 的 AUC 分别 = 0.522、0.517 和 0.497）。在 2.0 毫米重建切片的情况下，CAD 的性能优于读取器（A、B 和 CAD 的 AUC 分别 = 0.524、0.524 和 0.614）。发现 CAD 在 1.0 毫米重建切片的情况下明显优于放射科医生（A、B 和 CAD 的 AUC 分别为 0.537、0.531 和 0.675）。重建厚度为 1.0mm 时，A、B 和 CAD 的灵敏度分别为 66.99%、68.93% 和 80.58%。对于 1.0 毫米重建切片的 CAD，检测所需的时间最短（平均 t = 4 分钟）。使用 CAD 时，放射科医生的表现大大提高：CAD+A 和 CAD+B 的敏感性分别为 91.26% 和 94.17%（AUC=0.889 和 0.917）。 CAD 在检测 < 10 mm 的结节方面最具优势。结论：在 1.0 毫米的重建厚度下，CAD 能够检测结节
Purpose: To evaluate the accuracy of software for computer-aided detection (CAD) of lung nodules using different reconstruction slice thickness protocols in multidetector CT. Materials and Methods: Raw image data sets for 15 patients who had undergone 16-row multidetector CT (MDCT) for known pulmonary nodules were reconstructed at a reconstruction thickness of 5.0, 2.0 and 1.0 mm with a reconstruction increment of 1.5, 1.0 and 0.5 mm, respectively. The "Nodule Enhanced Viewing" (NEV) tool of LungCare for computer-aided detection of lung nodules was applied to the reconstructed images. The reconstructed images were also blinded and then evaluated by 2 radiologists (A and B). Data from the evaluating radiologists and CAD was then compared to,an independent reference standard established using the consensus of 2 independent experienced chest radiologists. The eligible nodules were grouped according to their size (diameter> 10, 5 - 10, < 5 mm) for assessment. Statistical analysis was performed using the receiver operating characteristic (ROC) curve analysis, t-test and two-rater Cohen's Kappa co-efficient. Results: A total of 103 nodules were included in the reference standard by the consensus panel. The performance of CAD was marginally lower than that of readers at a 5.0-mm reconstruction thickness (AUC = 0.522, 0.517 and 0.497 for A, B and CAD, respectively). In the case of 2.0-mm reconstruction slices, the performance of CAD was better than that of the readers (AUC = 0.524, 0.524 and 0.614 for A, B and CAD, respectively). CAD was found to be significantly superior to radiologists in the case of 1.0-mm reconstruction slices (AUC=0.537, 0.531 and 0.675 for A, B and CAD, respectively). The sensitivity at a recon-struction thickness of 1.0mm was determined to be 66.99%, 68.93 % and 80.58 % for A, B and CAD, respectively. The time required for detection was shortest for CAD at reconstruction slices of 1.0 mm (mean t = 4 min). The performance of radiologists was greatly enhanced when using CAD: sensitivity 91.26% and 94.17% for CAD+A and CAD+B, respectively (AUC=0.889 and 0.917). CAD was most advantageous in the detection of nodules < 10 mm. Conclusion: At a 1.0-mm reconstruction thickness, CAD's ability to detect nodules