Breast Cancer Res Treat. 2013 Jun;139(3):769-77. doi: 10.1007/s10549-013-2576-0. Epub 2013 Jun 14.
The aim of this study is to evaluate Breast Imaging Reporting and Data Systems (BI-RADS) 4A/B subcategory risk estimates for ductal carcinoma in situ (DCIS) and invasive cancer (IC), determining whether changing the proposed cutoffs to a higher biopsy threshold could safely increase cancer-to-biopsy yields while minimizing false-positive biopsies. A prospective clinical trial was performed to evaluate BI-RADS 4 lesions from women seen in clinic between January 2006 and March 2007. An experienced radiologist prospectively estimated a percent risk-estimate for DCIS and IC. Truth was determined by histopathology or 4-year follow-up negative for malignancy. Risk estimates were used to generate receiver-operating characteristic (ROC) curves. Biopsy rates, cancer-to-biopsy yields, and type of malignancies missed were then calculated across postulated risk thresholds. A total of 124 breast lesions were evaluated from 213 women. An experienced radiologist gave highly accurate risk estimates for IC, DCIS alone, or the combination with an area under ROC curve of 0.91 (95 % CI 0.84-0.99) (p < 0.001), 0.81 (95 % CI 0.69-0.93) (p = 0.011), and 0.89 (95 % CI 0.83-0.95) (p < 0.001), respectively. The cancer-to-biopsy yield was 30 %. Three hypothetical thresholds for intervention were analyzed: (1) DCIS or IC ≥ 10 %; (2) DCIS ≥ 50 % or IC ≥ 10 %; and (3) IC ≥ 10 %, which translated to 22, 48, and 56 % of biopsies avoided; cancer-to-biopsy yields of 36, 47, and 46 %; and associated chance of missing an IC of 0, 1, and 2 %, respectively. Expert radiologists estimate risk of IC and DCIS with a high degree of accuracy. Increasing the cut off point for recommending biopsy, substituting with a short-term follow-up protocol with biopsy if any change, may safely reduce the number of false-positive biopsies.
本研究旨在评估乳腺影像报告和数据系统(BI-RADS)4A/B 亚类对导管原位癌(DCIS)和浸润性癌(IC)的风险估计,确定是否可以通过提高建议活检阈值来安全地增加癌症活检率,同时最大限度地减少假阳性活检。一项前瞻性临床试验评估了 2006 年 1 月至 2007 年 3 月间在诊所就诊的女性的 BI-RADS 4 病变。一位经验丰富的放射科医生前瞻性地估计了 DCIS 和 IC 的百分比风险估计。通过组织病理学或 4 年阴性随访来确定真相。风险估计用于生成接收者操作特性(ROC)曲线。然后根据假设的风险阈值计算活检率、癌症活检率和错过的恶性肿瘤类型。从 213 名女性中评估了 124 个乳腺病变。一位经验丰富的放射科医生对 IC、单独的 DCIS 或两者的结合的风险估计非常准确,ROC 曲线下面积为 0.91(95%CI 0.84-0.99)(p<0.001)、0.81(95%CI 0.69-0.93)(p=0.011)和 0.89(95%CI 0.83-0.95)(p<0.001)。癌症活检率为 30%。分析了三个假设的干预阈值:(1)DCIS 或 IC≥10%;(2)DCIS≥50%或 IC≥10%;和(3)IC≥10%,这分别转化为 22%、48%和 56%的活检避免;癌症活检率为 36%、47%和 46%;以及分别错过 IC 的几率为 0%、1%和 2%。专家放射科医生对 IC 和 DCIS 的风险估计具有很高的准确性。提高建议活检的截止点,并用如果有任何变化的短期随访方案替代,可以安全地减少假阳性活检的数量。