From the Department of Radiology, University of Pittsburgh School of Medicine, 3240 Craft Pl, Room 322, Pittsburgh, PA 15213 (D.A., M.L.Z., W.A.B., L.Y., J.H.S., S.W.); Department of Radiology, Magee-Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, 15213 (M.L.Z., W.A.B., J.H.S.); Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, China (L.Y.); and Department of Biomedical Informatics (S.W.), Department of Bioengineering (S.W.), and Intelligent Systems Program (S.W.), University of Pittsburgh, Pittsburgh, Pa.
Radiology. 2024 Jan;310(1):e230269. doi: 10.1148/radiol.230269.
Background Background parenchymal enhancement (BPE) at dynamic contrast-enhanced (DCE) MRI of cancer-free breasts increases the risk of developing breast cancer; implications of quantitative BPE in ipsilateral breasts with breast cancer are largely unexplored. Purpose To determine whether quantitative BPE measurements in one or both breasts could be used to predict recurrence risk in women with breast cancer, using the Oncotype DX recurrence score as the reference standard. Materials and Methods This HIPAA-compliant retrospective single-institution study included women diagnosed with breast cancer between January 2007 and January 2012 (development set) and between January 2012 and January 2017 (internal test set). Quantitative BPE was automatically computed using an in-house-developed computer algorithm in both breasts. Univariable logistic regression was used to examine the association of BPE with Oncotype DX recurrence score binarized into high-risk (recurrence score >25) and low- or intermediate-risk (recurrence score ≤25) categories. Models including BPE measures were assessed for their ability to distinguish patients with high risk versus those with low or intermediate risk and the actual recurrence outcome. Results The development set included 127 women (mean age, 58 years ± 10.2 [SD]; 33 with high risk and 94 with low or intermediate risk) with an actual local or distant recurrence rate of 15.7% (20 of 127) at a minimum 10 years of follow-up. The test set included 60 women (mean age, 57.8 years ± 11.6; 16 with high risk and 44 with low or intermediate risk). BPE measurements quantified in both breasts were associated with increased odds of a high-risk Oncotype DX recurrence score (odds ratio range, 1.27-1.66 [95% CI: 1.02, 2.56]; < .001 to = .04). Measures of BPE combined with tumor radiomics helped distinguish patients with a high-risk Oncotype DX recurrence score from those with a low- or intermediate-risk score, with an area under the receiver operating characteristic curve of 0.94 in the development set and 0.79 in the test set. For the combined models, the negative predictive values were 0.97 and 0.93 in predicting actual distant recurrence and local recurrence, respectively. Conclusion Ipsilateral and contralateral DCE MRI measures of BPE quantified in patients with breast cancer can help distinguish patients with high recurrence risk from those with low or intermediate recurrence risk, similar to Oncotype DX recurrence score. © RSNA, 2024 See also the editorial by Zhou and Rahbar in this issue.
背景 癌症阴性乳房动态对比增强 (DCE) MRI 的背景实质增强 (BPE) 会增加罹患乳腺癌的风险;乳腺癌同侧乳房的定量 BPE 的影响在很大程度上尚未得到探索。目的 本研究旨在使用 Oncotype DX 复发评分作为参考标准,确定单侧或双侧乳房的定量 BPE 测量值是否可用于预测乳腺癌患者的复发风险。材料与方法 本 HIPAA 合规性回顾性单中心研究纳入了 2007 年 1 月至 2012 年 1 月(发展组)和 2012 年 1 月至 2017 年 1 月(内部测试组)期间诊断为乳腺癌的女性。使用内部开发的计算机算法自动计算双侧乳房的定量 BPE。采用单变量逻辑回归分析 BPE 与 Oncotype DX 复发评分的关系,该评分被二分类为高风险(复发评分>25)和低或中风险(复发评分≤25)。评估包括 BPE 测量值的模型在区分高风险与低或中风险患者以及实际复发结局方面的能力。结果 发展组纳入了 127 名女性(平均年龄,58 岁±10.2[标准差];33 名高风险,94 名低或中风险),在至少 10 年的随访中,实际局部或远处复发率为 15.7%(20/127)。测试组纳入了 60 名女性(平均年龄,57.8 岁±11.6;16 名高风险,44 名低或中风险)。双侧乳房的 BPE 测量值与较高的 Oncotype DX 高复发评分几率相关(比值比范围,1.27-1.66[95%置信区间:1.02,2.56];<.001 至 =.04)。结合肿瘤放射组学的 BPE 测量值有助于区分高 Oncotype DX 复发评分患者和低或中复发评分患者,在发展组中,受试者工作特征曲线下面积为 0.94,在测试组中为 0.79。对于联合模型,在预测实际远处复发和局部复发时,阴性预测值分别为 0.97 和 0.93。结论 在乳腺癌患者中,同侧和对侧 DCE MRI 的 BPE 定量测量有助于区分高复发风险患者和低或中复发风险患者,与 Oncotype DX 复发评分相似。 ©2024 RSNA,见本期 Zhou 和 Rahbar 的述评。