Kang Yihe, Li Zhigang, Yang Guang, Xue Jing, Zhang Lingling, Rong Xiaocui
Department of Radiology. The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China.
Department of Pathology. The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China.
Eur J Radiol. 2022 Nov;156:110524. doi: 10.1016/j.ejrad.2022.110524. Epub 2022 Sep 15.
We aimed to investigate whether the Kaiser score (KS) could improve the diagnostic performance of breast imaging reporting and data system (BI-RADS) in evaluating breast enhancing lesions on contrast-enhanced mammography (CEM).
Three hundred fifty-nine patients with 375 lesions (231 malignant and 144 benign) were included in this retrospective study from April 2019 to December 2021.Two readers with different levels of experience in breast imaging were asked to give a BI-RADS assessment category according to the CEM BI-RADS and final score based on the KS. The diagnostic performance of all lesions, mass and non-mass enhancement (NME) were assessed by receiver operating characteristic (ROC) analysis, and the areas under the ROC curve (AUCs) were measured. The weighted kappa coefficients were calculated to investigate the interreader agreement.
The AUCs of the KS for all lesions were 0.915 (95 %CI: 0.884-0.947) and 0.876 (95 %CI: 0.838-0.914) for two readers. When mass and NME were evaluated separately, the AUCs of the KS for mass were higher than those for NME (p < 0.001). The AUCs of BI-RADS for all lesion diagnoses ranged between 0.821 (95 %CI: 0.778-0.864) and 0.842(95 %CI: 0.801-0.883) for two readers. The AUCs of the KS were higher than those of BI-RADS (p < 0.001, p = 0.016). There were no significant differences in the sensitivity between the KS (97.4 %) and BI-RADS (99.6 %) for all lesions (p = 0.130). The specificity of the KS was significantly higher than that of BI-RADS (p < 0.001). Compared with BI-RADS, the application of the KS could have potentially obviated 41.7 % to 47.9 % unnecessary biopsies in 144 benign lesions. Interreader agreement between the two readers of the KS was almost perfect (k = 0.883 [95 % CI: 0.842-0.924]).
The use of the KS provided a high diagnostic performance in distinguishing malignant and benign breast lesions on CEM and outperformed BI-RADS. The application of the KS can downgrade up to 47.9% of unnecessary biopsies of benign breast lesions.
我们旨在研究凯泽评分(KS)能否提高乳腺影像报告和数据系统(BI-RADS)在评估对比增强乳腺摄影(CEM)中乳腺强化病变的诊断性能。
本回顾性研究纳入了2019年4月至2021年12月期间的359例患者,共375个病变(231个恶性病变和144个良性病变)。邀请两位在乳腺影像方面经验水平不同的阅片者根据CEM BI-RADS给出BI-RADS评估类别,并根据KS给出最终评分。通过受试者操作特征(ROC)分析评估所有病变、肿块及非肿块强化(NME)的诊断性能,并测量ROC曲线下面积(AUC)。计算加权kappa系数以研究阅片者之间的一致性。
两位阅片者对所有病变的KS的AUC分别为0.915(95%CI:0.884 - 0.947)和0.876(95%CI:0.838 - 0.914)。当分别评估肿块和NME时,KS对肿块的AUC高于对NME的AUC(p < 0.001)。两位阅片者对所有病变诊断的BI-RADS的AUC在0.821(95%CI:0.778 - 0.864)和0.842(95%CI:0.801 - 0.883)之间。KS的AUC高于BI-RADS的AUC(p < 0.001,p = 0.016)。对于所有病变,KS(97.4%)和BI-RADS(99.6%)之间的敏感性无显著差异(p = 0.130)。KS的特异性显著高于BI-RADS(p < 0.001)。与BI-RADS相比,应用KS可能避免了144个良性病变中41.7%至47.9%的不必要活检。两位阅片者对KS的阅片者间一致性几乎完美(k = 0.883 [95%CI:0.842 - 0.924])。
在CEM上区分乳腺良恶性病变时,使用KS具有较高的诊断性能,且优于BI-RADS。应用KS可减少高达47.9%的乳腺良性病变不必要活检。