Department of Radiology, Zhejiang Hospital, Hangzhou, China.
Diagn Interv Radiol. 2022 Jul;28(4):322-328. doi: 10.5152/dir.2022.201075.
PURPOSE This study aimed to verify whether the use of the Kaiser score can improve the diagnostic performance in breast magnetic resonance imaging (MRI) for suspicious lesions and avoid further invasive diagnostic approaches. METHODS This retrospective study enrolled 97 patients who underwent breast MRI before undergoing breast biopsy or surgery. Evaluations were conducted on all MRI images individually by 2 radiologists using the Kaiser score. Neither radiologist had the knowledge of the final histopathological diagnosis. The ability of the Kaiser score in diagnosis was established via a receiver performing characteristic (ROC) analysis, which was measured by the area under the ROC curve (AUC). Youden index was used to define the optimal cutoff value. Kaiser score categories were dichotomized into positive (cutoff score > 4) and negative scores (cutoff score ≤ 4). Cohen's kappa coefficient was used to analyze the inter-rater agreement. RESULTS Histopathology revealed 56 malignant and 41 benign lesions. The AUC for all lesions evaluated by the Kaiser score was 0.992 (95% CI: 0.981-1.0) and 0.958 (95% CI: 0.920-0.996) for 2 radiologists, respectively. Inter-rater agreement of the dichotomized Kaiser score was excellent (κ=0.894, P < .001). A total of 20 lesions (33.8%) previously categorized as BI-RADS 4 were reduced to BI-RADS 2/3 (19 benign lesions and 1 malignant lesion). CONCLUSION The Kaiser score is a valuable auxiliary diagnostic tool for improving the diagnostic ability of radiologists, whose experiences in breast MRI are diverse. In some cases, the application of the Kaiser score could possibly avoid unnecessary breast biopsies.
目的 本研究旨在验证 Kaiser 评分是否能提高乳腺磁共振成像(MRI)中对可疑病变的诊断性能,并避免进一步进行有创性诊断方法。
方法 本回顾性研究纳入了 97 名在接受乳腺活检或手术前接受乳腺 MRI 检查的患者。由 2 名放射科医生分别对所有 MRI 图像进行评估,使用 Kaiser 评分进行评估。两名放射科医生均不知道最终的组织病理学诊断。通过接收者工作特征(ROC)分析来确定 Kaiser 评分在诊断中的能力,该分析通过 ROC 曲线下面积(AUC)进行衡量。Youden 指数用于定义最佳截断值。Kaiser 评分分为阳性(截断值>4)和阴性评分(截断值≤4)。使用 Cohen's kappa 系数分析了两位放射科医生的评分之间的一致性。
结果 组织病理学显示 56 例恶性病变和 41 例良性病变。两位放射科医生评估的所有病变的 AUC 分别为 0.992(95%CI:0.981-1.0)和 0.958(95%CI:0.920-0.996)。Kaiser 评分的二分法的两位放射科医生之间的一致性极好(κ=0.894,P<0.001)。共有 20 个病变(33.8%)之前归类为 BI-RADS 4 被降低到 BI-RADS 2/3(19 个良性病变和 1 个恶性病变)。
结论 Kaiser 评分是一种有价值的辅助诊断工具,可提高经验不同的放射科医生的诊断能力。在某些情况下,应用 Kaiser 评分可能可以避免不必要的乳腺活检。