Breast Imaging Division, IEO European Institute of Oncology IRCCS, Via Giuseppe Ripamonti, 435, 20141, Milan, MI, Italy.
UOC Diagnostica per immagini, AO San Pio Benevento, Via dell' Angelo 1, 82100, Benevento, BN, Italy.
Med Oncol. 2020 Mar 27;37(5):36. doi: 10.1007/s12032-020-01358-w.
MRI-guided vacuum-assisted breast biopsy (VABB) is used for suspicious breast cancer (BC) lesions which are detectable only with MRI: because the high sensitivity but limited specificity of breast MRI it is a fundamental tool in breast imaging divisions. We analyse our experience of MRI-guided VABB and critically discuss the potentialities of diffusion-weighted imaging (DWI) and artificial intelligence (AI) in this matter. We retrospectively analysed a population of consecutive women underwent VABB at our tertiary referral BC centre from 01/2011 to 01/2019. Reference standard was histological diagnosis or at least 1-year negative follow-up. McNemar, Mann-Whitney and χ tests at 95% level of significance were used as statistical exams. 217 women (mean age = 52, 18-72 years) underwent MRI-guided VABB; 11 were excluded and 208 MRI-guided VABB lesions were performed: 34/208 invasive carcinomas, 32/208 DCIS, 8/208 LCIS, 3/208 high-risk lesions and 131/208 benign lesions were reported. Accuracy of MRI-guided VABB was 97%. The predictive features for malignancy were mass with irregular shape (OR 8.4; 95% CI 0.59-31.6), size of the lesion (OR 4.4; 95% CI 1.69-9.7) and mass with irregular/spiculated margins (OR 5.4; 95% CI 6.8-31.1). Six-month follow-up showed 4 false-negative cases (1.9%). Invasive BC showed a statistically significant higher hyperintense signal at DWI compared to benign lesions (p = 0.03). No major complications occurred. MR-guided VABB showed high accuracy. Benign-concordant lesions should be followed up with breast MRI in 6-12 months due to the risk of false-negative results. DWI and AI applications showed potential benefit as support tools for radiologists.
磁共振引导下真空辅助乳腺活检(VABB)用于仅可通过 MRI 检测到的可疑乳腺癌(BC)病变:由于乳腺 MRI 的高敏感性但特异性有限,因此它是乳腺影像学检查的基本工具。我们分析了我们在磁共振引导下 VABB 方面的经验,并在这方面批判性地讨论了扩散加权成像(DWI)和人工智能(AI)的潜力。我们回顾性分析了 2011 年 1 月至 2019 年 1 月期间在我们的三级转诊乳腺癌中心接受 VABB 的连续女性人群。参考标准是组织学诊断或至少 1 年的阴性随访。在 95%置信水平下使用 McNemar、Mann-Whitney 和 χ 检验作为统计检验。217 名女性(平均年龄=52 岁,18-72 岁)接受了磁共振引导下 VABB;排除了 11 例,对 208 例磁共振引导下 VABB 病变进行了分析:34/208 例浸润性癌,32/208 例 DCIS,8/208 例 LCIS,3/208 例高危病变和 131/208 例良性病变。磁共振引导下 VABB 的准确率为 97%。恶性肿瘤的预测特征是形态不规则的肿块(OR 8.4;95%CI 0.59-31.6)、病变大小(OR 4.4;95%CI 1.69-9.7)和形态不规则/刺状边缘的肿块(OR 5.4;95%CI 6.8-31.1)。6 个月的随访显示有 4 例假阴性病例(1.9%)。浸润性 BC 在 DWI 上显示出比良性病变更高的高信号强度,这具有统计学意义(p=0.03)。未发生重大并发症。磁共振引导下 VABB 显示出高准确性。良性一致的病变由于存在假阴性结果的风险,应在 6-12 个月内通过乳腺 MRI 进行随访。DWI 和 AI 应用作为放射科医生的辅助工具显示出潜在的益处。