首页> 外文期刊>European Journal of Radiology >Improving digital breast tomosynthesis reading time: A pilot multi-reader, multi-case study using concurrent Computer-Aided Detection (CAD)
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Improving digital breast tomosynthesis reading time: A pilot multi-reader, multi-case study using concurrent Computer-Aided Detection (CAD)

机译:改善数字乳房断层合成阅读时间:使用并发计算机辅助检测(CAD)的飞行员多读者,多案例研究

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Highlights ? Concurrent CAD enables radiologists to review breast tomosynthesis 23.5% faster. ? The performance of the radiologist for detecting breast cancer is not changed. ? Concurrent CAD appears promising for application with breast cancer screening. Abstract Purpose Evaluate concurrent Computer-Aided Detection (CAD) with Digital Breast Tomosynthesis (DBT) to determine impact on radiologist performance and reading time. Materials and methods The CAD system detects and extracts suspicious masses, architectural distortions and asymmetries from DBT planes that are blended into corresponding synthetic images to form CAD-enhanced synthetic images. Review of CAD-enhanced images and navigation to corresponding planes to confirm or dismiss potential lesions allows radiologists to more quickly review DBT planes. A retrospective, crossover study with and without CAD was conducted with six radiologists who read an enriched sample of 80 DBT cases including 23 malignant lesions in 21 women. Area Under the Receiver Operating Characteristic (ROC) Curve (AUC) compared the readings with and without CAD to determine the effect of CAD on overall interpretation performance. Sensitivity, specificity, recall rate and reading time were also assessed. Multi-reader, multi-case (MRMC) methods accounting for correlation and requiring correct lesion localization were used to analyze all endpoints. AUCs were based on a 0–100% probability of malignancy (POM) score. Sensitivity and specificity were based on BI-RADS scores, where 3 or higher was positive. Results Average AUC across readers without CAD was 0.854 (range: 0.785-0.891, 95% confidence interval (CI): 0.769,0.939) and 0.850 (range: 0.746-0.905, 95% CI: 0.751,0.949) with CAD (95% CI for difference: ?0.046,0.039), demonstrating non-inferiority of AUC. Average reduction in reading time with CAD was 23.5% (95% CI: 7.0–37.0% improvement), from an average 48.2 (95% CI: 39.1,59.6) seconds without CAD to 39.1 (95% CI: 26.2,54.5) seconds with CAD. Per-patient sensitivity was the same with and without CAD (0.865; 95% CI for difference: ?0.070,0.070), and there was a small 0.022 improvement (95% CI for difference: ‐0.046,0.089) in per-lesion sensitivity from 0.790 without CAD to 0.812 with CAD. A slight reduction in specificity with a ?0.014 difference (95% CI for difference: ‐0.079,0.050) and a small 0.025 increase (95% CI for difference: ?0.036,0.087) in recall rate in non-cancer cases were observed with CAD. Conclusions Concurrent CAD resulted in faster reading time with non-inferiority of radiologist interpretation performance. Radiologist sensitivity, specificity and recall rate were similar with and without CAD.
机译:强调 ?并发CAD使放射科医师能够更快地审查乳房Tomos合成23.5%。还放射学家的性能不改变检测乳腺癌。还同时CAD似乎有前途的乳腺癌筛选。摘要目的评估数字乳房致染合成(DBT)的并发计算机辅助检测(CAD),以确定对放射科表现和阅读时间的影响。材料和方法CAD系统检测和提取来自DBT平面的可疑质量,架构扭曲和不对称,该模拟成相应的合成图像以形成CAD增强的合成图像。审查CAD增强的图像和导航到相应的平面,以确认或忽略潜在的病变允许放射科医师更快地审查DBT飞机。具有和不含CAD的回顾性,交叉研究用六位放射科医生进行了读取80例DBT病例的富集样品,其中包括21名妇女的23例恶性病变。接收器操作特征(ROC)曲线(AUC)下的区域比较了与无CAD的读数,以确定CAD对整体解释性能的影响。还评估了敏感性,特异性,召回率和阅读时间。多读者,多壳(MRMC)方法核算相关性并要求正确的病变定位分析所有终点。 AUCS基于0-100%的恶性肿瘤(POM)得分。敏感性和特异性基于Bi-Rads评分,其中3个或更高阳性。结果没有CAD的读者平均AUC为0.854(范围:0.785-0.891,95%置信区间(CI):0.769,0.939)和0.850(范围:0.746-0.905,95%CI:0.751,0.949),CAD(95% CI差异:0.046,0.039),展示了AUC的非劣势。通过CAD的阅览时间的平均降低23.5%(95%CI:7.0-37.0%的改善),从平均48.2(95%CI:39.1,59.6)秒,没有CAD至39.1(95%CI:26.2,54.5)秒用cad。每患者敏感性与CAD相同(0.865;差异为95%:0.070,0.070),每次病变敏感性有一个小0.022种改善(差异为-0.046,0.089)从0.790没有CAD到0.812,CAD。特异性的略微减少?0.014差异(差异为95%:-0.079,0.050)和小于0.025增加(差异为95%CI:0.036,0.087),在非癌症病例中被召回CAD。结论同时CAD导致较快的阅读时间与放射科解释性能的非劣势。放射科学剂敏感性,特异性和召回率类似于和无CAD。

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