The University of Texas Southwestern Medical Center Medical School, Dallas, TX, USA.
Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
Breast Cancer Res Treat. 2024 Jun;205(3):507-520. doi: 10.1007/s10549-024-07259-0. Epub 2024 Mar 14.
Mitigating false negative imaging studies remains an important issue given its association with worse morbidity and mortality in patients with breast cancer. We aimed to identify risk factors that predispose to false negative breast imaging exams.
In an IRB-approved, HIPAA compliant retrospective study, we identified all patients who were diagnosed with breast cancer within 365 days of a negative imaging study assessed as BI-RADS 1-3 between January 1, 2014 and January 31, 2020. A matched cohort based on mammographic breast density was created from randomly selected studies with BI-RADS 4-5 designation that yielded breast cancer at pathology within the same time frame. Patient and cancer characteristics, prior personal history of breast cancer and gene mutation status were collected from patient charts. Pearson chi-squared and Student's t-test on two independent groups with significance at < 0.05 was used for statistical analysis.
We identified 155 false negative studies of 129 missed cancers and 128 breast density matched true positive cancers. False negative studies were screening mammograms in 57.42% (89/155), diagnostic mammograms in 29.68% (46/155), ultrasounds in 6.45% (10/155) and MRIs in 6.45% (10/155). Rates of personal (41.09% vs. 18.75%, p < 0.001) and family history of breast cancer (68.22% vs. 49.21%, p = 0.002) were higher in the false negative cohort and remained significant when asymptomatic MRI-detected cancers were removed.
Our findings suggest that supplemental screening may be useful in breast cancer survivors.
鉴于阴性乳腺影像学检查与乳腺癌患者发病率和死亡率增加有关,降低假阴性影像学检查的发生率仍是一个重要问题。本研究旨在确定导致乳腺影像学检查假阴性的风险因素。
本研究为经机构审查委员会批准、符合 HIPAA 规定的回顾性研究,纳入了 2014 年 1 月 1 日至 2020 年 1 月 31 日期间因阴性乳腺影像学检查(BI-RADS 1-3 级)而在 365 天内被诊断为乳腺癌的所有患者。通过从 BI-RADS 4-5 级的随机选择研究中创建基于乳腺密度的匹配队列,这些研究在同一时间段内通过病理检查发现了乳腺癌。从患者病历中收集患者和癌症特征、既往乳腺癌个人史和基因突变状态。使用 Pearson 卡方检验和两组独立样本 t 检验(p 值<0.05)进行统计学分析。
本研究共纳入 155 例假阴性研究(129 例漏诊癌症和 128 例乳腺密度匹配的阳性癌症)。假阴性研究包括筛查性乳腺 X 线摄影术(57.42%,89/155)、诊断性乳腺 X 线摄影术(29.68%,46/155)、超声检查(6.45%,10/155)和 MRI(6.45%,10/155)。假阴性组的个人(41.09%比 18.75%,p<0.001)和家族(68.22%比 49.21%,p=0.002)乳腺癌病史发生率更高,当排除无症状 MRI 检出的癌症后,这种差异仍然显著。
本研究结果表明,在乳腺癌幸存者中,补充筛查可能是有用的。