1 Arlington Innovation Center: Health Research, Virginia Polytechnic Institute and State University, Arlington, VA 22203.
2 Oncology Department, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC.
AJR Am J Roentgenol. 2018 Mar;210(3):480-488. doi: 10.2214/AJR.17.18718. Epub 2018 Jan 16.
The purpose of this study is to evaluate radiologists' performance in detecting actionable nodules on chest CT when aided by a pulmonary vessel image-suppressed function and a computer-aided detection (CADe) system.
A novel computerized pulmonary vessel image-suppressed function with a built-in CADe (VIS/CADe) system was developed to assist radiologists in interpreting thoracic CT images. Twelve radiologists participated in a comparative study without and with the VIS/CADe using 324 cases (involving 95 cancers and 83 benign nodules). The ratio of nodule-free cases to cases with nodules was 2:1 in the study. Localization ROC (LROC) methods were used for analysis.
In a stand-alone test, the VIS/CADe system detected 89.5% and 82.0% of malignant nodules and all nodules no smaller than 5 mm, respectively. The false-positive rate per CT study was 0.58. For the reader study, the mean area under the LROC curve (LROCAUC) for the detection of lung cancer significantly increased from 0.633 when unaided by VIS/CADe to 0.773 when aided by VIS/CADe (p < 0.01). For the detection of all clinically actionable nodules, the mean LROC-AUC significantly increased from 0.584 when unaided by VIS/CADe to 0.692 when detection was aided by VIS/CADe (p < 0.01). Radiologists detected 80.0% of cancers with VIS/CADe versus 64.45% of cancers unaided (p < 0.01); specificity decreased from 89.9% to 84.4% (p < 0.01). Radiologist interpretation time significantly decreased by 26%.
The VIS/CADe system significantly increased radiologists' detection of cancers and actionable nodules with somewhat lower specificity. With use of the VIS/CADe system, radiologists increased their interpretation speed by a factor of approximately one-fourth. Our study suggests that the technique has the potential to assist radiologists in the detection of additional actionable nodules on thoracic CT.
本研究旨在评估肺部血管图像抑制功能和计算机辅助检测 (CADe) 系统辅助下放射科医师在检测胸部 CT 上可处理结节时的表现。
我们开发了一种新型计算机化肺部血管图像抑制功能与内置 CADe 系统(VIS/CADe),以帮助放射科医师解读胸部 CT 图像。12 名放射科医师参与了一项无 VIS/CADe 和有 VIS/CADe 辅助的 324 例病例(包括 95 例癌症和 83 例良性结节)的对比研究。研究中无结节病例与有结节病例的比例为 2:1。采用局部受试者工作特征曲线(LROC)方法进行分析。
在单独测试中,VIS/CADe 系统分别检测到 89.5%和 82.0%的恶性结节和所有不小于 5mm 的结节,其每例 CT 研究的假阳性率为 0.58。对于读者研究,在无 VIS/CADe 辅助时,检测肺癌的 LROC 曲线下面积(LROCAUC)平均值为 0.633,而有 VIS/CADe 辅助时为 0.773,差异有统计学意义(p<0.01)。在检测所有有临床意义的可处理结节时,在无 VIS/CADe 辅助时,LROC-AUC 的平均值为 0.584,而有 VIS/CADe 辅助时为 0.692,差异有统计学意义(p<0.01)。放射科医师使用 VIS/CADe 检测到 80.0%的癌症,而未使用 VIS/CADe 检测到 64.45%的癌症(p<0.01);特异性从 89.9%降至 84.4%(p<0.01)。放射科医师的解释时间显著减少了 26%。
VIS/CADe 系统显著提高了放射科医师对癌症和可处理结节的检测率,特异性略有降低。使用 VIS/CADe 系统,放射科医师的解释速度提高了约四分之一。本研究表明,该技术有可能帮助放射科医师在胸部 CT 上检测到更多有临床意义的可处理结节。