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凯萨评分诊断乳腺 MRI 病变:与假阴性和假阳性结果相关的因素。

Kaiser score diagnosis of breast MRI lesions: Factors associated with false-negative and false-positive results.

机构信息

Department of Radiology, Second Affiliated Hospital of Xi'an Jiao tong University, Xi'an, Shaanxi, China.

Department of Radiology, Second Affiliated Hospital of Xi'an Jiao tong University, Xi'an, Shaanxi, China.

出版信息

Eur J Radiol. 2024 Sep;178:111641. doi: 10.1016/j.ejrad.2024.111641. Epub 2024 Jul 21.

Abstract

PURPOSE

We sought factors associated with false-negative and false-positive results in the diagnosis of breast lesions using the Kaiser score (KS) on breast magnetic resonance imaging (MRI).

METHODS

We retrospectively analyzed 1058 patients with 1058 breast lesions who underwent preoperative breast MRI with successful histopathologic results. Two radiologists assessed each lesion according to KS criteria, and clinicopathologic features and MRI findings were analyzed. Multivariate regression analysis was conducted to identify factors associated with false-negative and false-positive KS results.

RESULTS

Of the 1058 lesions, 859 were malignant and 199 were benign. Particularly high misdiagnosis rates were observed for intraductal papilloma, inflammatory lesion, and mucinous carcinoma. For breast cancer, KS yielded 821 (95.6 %) true-positive and 38 (4.4 %) false-negative results. Multivariate analysis showed that smaller lesion size (≤1 cm) (OR, 3.698; 95 %CI, 1.430-9.567; p = 0.007), absence of ipsilateral breast hypervascularity (OR, 3.029; 95 %CI, 1.370-6.693; p = 0.006), and presence of hyperintensity on T2WI (OR, 2.405; 95 %CI, 1.121-5.162; p = 0.024) were significantly associated with false-negative breast cancer results. For benign lesions, KS yielded 141 (70.9 %) true-negative and 58 (29.1 %) false-positive results. Multivariate regression analysis revealed that non-mass enhancement lesions (OR, 4.660; 95 %CI, 2.018-10.762; p<0.001), moderate/high background parenchymal enhancement (OR, 2.402; 95 %CI, 1.180-4.892; p = 0.016), and the presence of hyperintensity on T2WI (OR, 2.986; 95 %CI, 1.386-6.433; p = 0.005) were significantly associated with false-positive KS results.

CONCLUSION

Several clinicopathologic and MRI features influence the accuracy of KS diagnosis. Understanding these factors may facilitate appropriate use of KS and guide alternative diagnostic approaches, ultimately improving diagnostic accuracy in the evaluation of breast lesions.

摘要

目的

我们旨在探讨 Kaiser 评分(KS)在乳腺磁共振成像(MRI)诊断乳腺病变中的假阴性和假阳性结果相关因素。

方法

我们回顾性分析了 1058 例接受术前乳腺 MRI 检查且具有明确组织病理学结果的患者的 1058 个乳腺病变。两位放射科医生根据 KS 标准评估每个病变,分析临床病理特征和 MRI 表现。采用多变量回归分析确定与 KS 假阴性和假阳性结果相关的因素。

结果

在 1058 个病变中,859 个为恶性,199 个为良性。导管内乳头状瘤、炎性病变和黏液癌的误诊率尤其高。对于乳腺癌,KS 得出 821 个(95.6%)真阳性和 38 个(4.4%)假阴性结果。多变量分析显示,病变较小(≤1cm)(OR,3.698;95%CI,1.430-9.567;p=0.007)、同侧乳腺高血供缺乏(OR,3.029;95%CI,1.370-6.693;p=0.006)和 T2WI 高信号(OR,2.405;95%CI,1.121-5.162;p=0.024)与乳腺癌的假阴性结果显著相关。对于良性病变,KS 得出 141 个(70.9%)真阴性和 58 个(29.1%)假阳性结果。多变量回归分析显示,非肿块样强化病变(OR,4.660;95%CI,2.018-10.762;p<0.001)、中度/高度背景实质强化(OR,2.402;95%CI,1.180-4.892;p=0.016)和 T2WI 高信号(OR,2.986;95%CI,1.386-6.433;p=0.005)与 KS 假阳性结果显著相关。

结论

一些临床病理和 MRI 特征影响 KS 诊断的准确性。了解这些因素有助于 KS 的合理应用,并指导替代诊断方法,最终提高乳腺病变评估的诊断准确性。

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