Goebel Juliane, Stenzel Elena, Guberina Nika, Wanke Isabel, Koehrmann Martin, Kleinschnitz Christoph, Umutlu Lale, Forsting Michael, Moenninghoff Christoph, Radbruch Alexander
Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Clinic of Neurology, University Hospital Essen, Essen, Germany.
Neuroradiology. 2018 Dec;60(12):1267-1272. doi: 10.1007/s00234-018-2098-x. Epub 2018 Sep 15.
Computer-aided diagnosis (CAD) appears promising in early ischemic change detection computed tomography (CT). This study aimed to compare the performance of two new CAD systems (Frontier ASPECTS Prototype and Brainomix) with two experienced readers in selected patients with suspected acute ischemic stroke.
Retrospectively, non-contrast brain CTs of 150 patients suspected for acute middle cerebral artery ischemia were analyzed with respect to ASPECTS first separately, than in consensus by two senior radiologists, and by use of Frontier and Brainomix. Besides the fully automatic Frontier and Brainomix readings (Frontier_1, Brainomix_1), readings adjusted for the affected brain side (known by CT angiography or clinical presentation, Frontier_2, Brainomix_2) were assessed. Statistical analysis was performed by intraclass correlation and Bland-Altman statistics.
The score-based ASPECTS readings of Brainomix_1, Brainomix_2, both radiologists, and the expert consensus reading correlated highly (r = 0.714 to 0.841; always p < 0.001), whereas Frontier_1 and Frontier_2 correlated only lowly or moderately with both radiologists, the expert consensus reading, and Brainomix (r = 0.471 to 0.680; always p < 0.001). Bland-Altman analysis revealed lower mean ASPECT difference and standard deviation of difference for Brainomix_2 (mean difference = -0.2; SD = 1.15) compared to Frontier_2 (mean difference = 1.2; SD = 1.76). Correlation of region-based ASPECTS reading with the expert consensus reading was moderate for Brainomix_2 (r = 0.534), but only low for Frontier_2 (r = 0283; always p < 0.001).
We found high agreement in ASPECTS rating between both radiologists, expert consensus reading, and Brainomix, but only low to moderate agreement to Frontier.
计算机辅助诊断(CAD)在早期缺血性改变的计算机断层扫描(CT)检测中显示出前景。本研究旨在比较两种新的CAD系统(Frontier ASPECTS Prototype和Brainomix)与两名经验丰富的阅片者在选定的疑似急性缺血性卒中患者中的表现。
回顾性分析150例疑似急性大脑中动脉缺血患者的非增强脑CT,首先分别根据ASPECTS进行分析,然后由两名资深放射科医生达成共识进行分析,并使用Frontier和Brainomix进行分析。除了全自动的Frontier和Brainomix读数(Frontier_1、Brainomix_1)外,还评估了根据受影响脑侧调整的读数(通过CT血管造影或临床表现已知,Frontier_2、Brainomix_2)。采用组内相关分析和Bland-Altman统计进行统计分析。
Brainomix_1、Brainomix_2、两名放射科医生基于评分的ASPECTS读数以及专家共识读数之间高度相关(r = 0.714至0.841;均p < 0.001),而Frontier_1和Frontier_2与两名放射科医生、专家共识读数以及Brainomix的相关性仅为低度或中度(r = 0.471至0.680;均p < 0.001)。Bland-Altman分析显示,与Frontier_2(平均差异 = 1.2;标准差 = 1.76)相比,Brainomix_2的平均ASPECT差异和差异标准差更低(平均差异 = -0.2;标准差 = 1.15)。基于区域的ASPECTS读数与专家共识读数的相关性,Brainomix_2为中度(r = 0.534),而Frontier_2仅为低度(r = 0.283;均p < 0.001)。
我们发现两名放射科医生、专家共识读数与Brainomix在ASPECTS评分上高度一致,但与Frontier的一致性仅为低度至中度。