From the Department of Radiology, Seoul National University Hospital, Seoul, South Korea (S.M.H., W.K.M., H.Y.); Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea (S.M.H., W.K.M.); Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, South Korea (S.M.H., W.K.M.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (W.J.C., H.H.K., H.J.K.); Department of Radiological Sciences, University of California, Irvine, Irvine, Calif (W.J.C., J.S.C.); Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, South Korea (B.K.H., H.K., J.S.C.); Biomedical Statistics Center, Data Science Research Institute, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea (M.J.K., K.K.); and Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University School of Medicine, Seoul, South Korea (K.K., J.S.C.).
Radiology. 2024 Nov;313(2):e240043. doi: 10.1148/radiol.240043.
Background Breast nonmass lesions (NMLs) are observed at screening and diagnostic US. However, knowledge is limited on imaging features of NMLs at screening US. Purpose To identify features of NMLs at screening US that are suspicious for malignancy based on mammographic findings. Materials and Methods This retrospective, multicenter study included asymptomatic women who underwent screening US between January 2012 and December 2019. Eligible women had NMLs at US, concurrent screening mammography, and record of a final diagnosis. Logistic regression analyses were used to identify factors associated with malignancy. The diagnostic performance of each sonographic feature according to mammographic findings was calculated. A reader study was performed to assess interreader agreement for sonographic features. Results Among 993 NMLs in 993 patients (mean age, 50 years ± 9 [SD]), 914 (92.0%) were benign and 79 (8.0%) were malignant. Mean size was larger for malignant NMLs than for benign NMLs (2.6 cm ± 1.1 vs 1.9 cm ± 0.8; < .001). In multivariable analysis, associated calcifications (odds ratio [OR], 21.6 [95% CI: 8.0, 58.2]; < .001), posterior shadowing (OR, 6.9 [95% CI: 2.6, 18.4]; < .001), segmental distribution (OR, 6.2 [95% CI: 2.7, 14.4]; < .001), mixed echogenicity (OR, 5.0 [95% CI: 1.8, 14.0]; < .001), and size (OR, 1.5 [95% CI: 1.1, 2.1]; = .01) at US were associated with malignancy. Associated calcifications, posterior shadowing, segmental distribution, and mixed echogenicity showed positive predictive values (PPVs) of 44%, 22%, 22.9%, and 16.6%, respectively. Having a negative mammogram was associated with a lower malignancy rate (2.8% vs 28.8%) and lower PPVs for sonographic features (0.7%-10.4% vs 24%-55%) than having a positive mammogram. Interreader agreement for sonographic features was good to excellent (Fleiss κ 95% CI lower bound range, 0.63-0.81). Conclusion Calcifications, posterior shadowing, segmental distribution, and mixed echogenicity associated with NMLs can be considered suspicious features for malignancy at screening US. As malignancy rates and PPVs differ according to mammographic abnormalities, combined assessment is mandatory. © RSNA, 2024 See also the editorial by Grimm in this issue.
背景 乳腺非肿块病变(NML)在筛查和诊断性超声检查中可见。然而,关于筛查性超声中 NML 的影像学特征的知识有限。目的 基于乳腺 X 线摄影检查结果,确定筛查性超声中 NML 疑似恶性的特征。材料与方法 本回顾性多中心研究纳入了 2012 年 1 月至 2019 年 12 月间接受筛查性超声检查的无症状女性。符合条件的女性在超声检查中均有 NML,且同时进行了筛查性乳腺 X 线摄影检查,并记录了最终诊断结果。采用 logistic 回归分析确定与恶性肿瘤相关的因素。根据乳腺 X 线摄影检查结果计算各超声特征的恶性肿瘤诊断效能。进行了读者研究,以评估超声特征的读者间一致性。结果 在 993 例患者的 993 个 NML 中(平均年龄 50 岁±9[标准差]),914 个(92.0%)为良性,79 个(8.0%)为恶性。与良性 NML 相比,恶性 NML 的平均大小更大(2.6 cm±1.1 比 1.9 cm±0.8;<.001)。多变量分析显示,相关钙化(比值比[OR],21.6[95%CI:8.0,58.2];<.001)、后方声影(OR,6.9[95%CI:2.6,18.4];<.001)、节段性分布(OR,6.2[95%CI:2.7,14.4];<.001)、混合回声(OR,5.0[95%CI:1.8,14.0];<.001)和大小(OR,1.5[95%CI:1.1,2.1];=.01)与恶性肿瘤相关。相关钙化、后方声影、节段性分布和混合回声的阳性预测值分别为 44%、22%、22.9%和 16.6%。与乳腺 X 线摄影检查阳性相比,乳腺 X 线摄影检查阴性与恶性肿瘤发生率较低(2.8%比 28.8%)和各超声特征的阳性预测值较低(0.7%-10.4%比 24%-55%)相关。各超声特征的读者间一致性良好至极好(Fleiss κ 95%CI 下限范围为 0.63-0.81)。结论 与 NML 相关的钙化、后方声影、节段性分布和混合回声可被视为筛查性超声中恶性肿瘤的可疑特征。由于恶性肿瘤发生率和阳性预测值因乳腺 X 线摄影检查异常而异,因此必须进行综合评估。 ©RSNA,2024 参见本期杂志中 Grimm 的社论。