Kuopio University Hospital, Diagnostic Imaging Center, Department of Clinical Radiology, Kuopio, Finland.
Kuopio University Hospital, Diagnostic Imaging Center, Department of Clinical Radiology, Kuopio, Finland; University of Eastern Finland, Cancer Center of Eastern Finland, Kuopio, Finland; University of Eastern Finland, Institute of Clinical Medicine, School of Medicine, Kuopio, Finland.
Eur J Radiol. 2021 May;138:109659. doi: 10.1016/j.ejrad.2021.109659. Epub 2021 Mar 16.
To determine the diagnostic performance of the Kaiser score and to compare it with the BI-RADS-based multiparametric classification system (MCS).
Two breast radiologists, blinded to the clinical and pathological information, separately evaluated a database of 499 consecutive patients with structural 3.0 T breast MRI and 697 histopathologically verified lesions. The Kaiser scores and corresponding MCS categories were recorded. The sensitivity and specificity of the Kaiser score and the MCS categories to differentiate benign from malignant lesions were calculated. The interobserver reproducibility and receiver operating characteristic (ROC) parameters were analysed.
The sensitivity and specificity of the MCS were 100 % and 12 %, respectively, and those of the Kaiser score were 98.5 % and 34.8 % for reader 1 and 98.7 % and 47.5 % for reader 2. The area under the ROC-curve was 85.9 and 87.6 for readers 1 and 2. The interobserver intraclass correlation coefficient was excellent at 0.882. Reader 1 upgraded six lesions from BI-RADS 3 to a Kaiser score of >4, and reader 2 upgraded seven lesions. When applying the Kaiser score to 158 benign lesions readers 1 and 2 would have reduced the biopsy rate by 22.8 % and 35.4 %, respectively.
The Kaiser score showed high diagnostic accuracy with excellent interobserver reproducibility. The MCS had perfect sensitivity but low specificity. Although the Kaiser score had slightly lower sensitivity, its specificity was 3-4 times greater than that of the MCS. Thus, the Kaiser score has the potential to considerably reduce the biopsy rate for true negative lesions.
确定 Kaiser 评分的诊断性能,并将其与基于 BI-RADS 的多参数分类系统(MCS)进行比较。
两位乳腺放射科医师在不了解临床和病理信息的情况下,分别评估了一个由 499 例连续患者的结构 3.0T 乳腺 MRI 和 697 例经组织病理学证实的病变组成的数据库。记录 Kaiser 评分和相应的 MCS 类别。计算 Kaiser 评分和 MCS 类别的灵敏度和特异性,以区分良性和恶性病变。分析了观察者间的可重复性和接受者操作特征(ROC)参数。
MCS 的灵敏度和特异性分别为 100%和 12%,Kaiser 评分的灵敏度和特异性分别为读者 1 的 98.5%和 34.8%,读者 2 的 98.7%和 47.5%。ROC 曲线下面积为读者 1 和 2 的 85.9 和 87.6。观察者间的组内相关系数为 0.882,极好。读者 1 将 6 个病变从 BI-RADS 3 升级到 Kaiser 评分>4,读者 2 将 7 个病变升级。当将 Kaiser 评分应用于 158 个良性病变时,读者 1 和 2 将活检率分别降低了 22.8%和 35.4%。
Kaiser 评分具有较高的诊断准确性和极好的观察者间可重复性。MCS 具有完美的灵敏度,但特异性较低。尽管 Kaiser 评分的灵敏度略低,但特异性是 MCS 的 3-4 倍。因此,Kaiser 评分有可能显著降低真阴性病变的活检率。