CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Prospective Evaluation of Ultrafast Breast MRI for Predicting Pathologic Response after Neoadjuvant Therapies.
Prospective Evaluation of Ultrafast Breast MRI for Predicting Pathologic Response after Neoadjuvant Therapies.
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背景 超快速动态对比增强(DCE)MRI参数与乳腺癌侵袭性相关。然而,这些参数作为新辅助化疗(NAC)后病理反应预测生物标志物的作用研究甚少。目的 评估在初始超快速DCE MRI中计算的半定量灌注参数是否与乳腺癌参与者NAC后病理反应的早期预测相关。材料与方法 这项前瞻性单中心研究连续纳入2020年12月至2021年8月期间接受NAC后手术的非转移性浸润性乳腺癌女性,且进行了初始超快速DCE MRI。根据拟合的时间-信号强度曲线为每位参与者计算六个半定量超快速DCE MRI参数。使用多变量logistic回归识别病理完全缓解(pCR)和残余癌症负荷(RCB)的独立预测因素。结果 研究纳入50名女性(平均年龄,49岁 ± 12 [SD]);20名达到pCR,25名达到低RCB(RCB-0和I)。流入斜率(WIS)截断值为每秒1.6%时,对pCR的敏感性为94%(18名参与者中的17名),特异性为59%(32名参与者中的19名)。
WIS超过每秒1.6%(比值比[OR],8.4 [95% CI:1.5,48.2];P = .02)、人表皮生长因子受体2(HER2)阳性(OR,6.3 [95% CI:1.5,27.4];P = .01)以及TIL(肿瘤浸润淋巴细胞)超过10%(OR,6.9 [95% CI:1.3,37.7];P = .03)是pCR的独立预测因素。包含WIS、TIL(肿瘤浸润淋巴细胞)和HER2阳性的三组分模型的受试者工作特征曲线下面积为0。92(95% CI:0.84,0.99)。WIS 超过 1.6%/秒与 HER2 阳性(OR,21.7 [95% CI:1.8,260.6];P = .02)乳腺癌亚组中更高的 pCR 率相关。对于 luminal HER2 阴性和三阴性乳腺癌,WIS 超过 1.6%/秒与低 RCB 相关(OR,11.0 [95% CI:1.1,106.4];P = .04)。结论 在初始超快速动态对比增强 MRI 中评估 wash-in slope(WIS)可用于预测乳腺癌参与者的病理完全缓解(pCR)。WIS 值被用于识别两个具有不同 pCR 率的人表皮生长因子受体 2 阳性癌症亚组。© RSNA,2022 本文可获取在线补充材料。另请参阅本期 Lee 和 Moy 的社论。
Background Ultrafast dynamic contrast-enhanced (DCE) MRI parameters are associated with breast cancer aggressiveness.
However, the role of these parameters as predictive biomarkers for pathologic response after neoadjuvant chemotherapy (NAC) has been poorly investigated. Purpose To assess whether semiquantitative perfusion parameters calculated at initial ultrafast DCE MRI are associated with early prediction for pathologic response after NAC in participants with breast cancer. Materials and Methods This prospective single-center study included consecutive women with nonmetastatic invasive breast cancer treated with NAC followed by surgery who underwent initial ultrafast DCE MRI between December 2020 and August 2021. Six semiquantitative ultrafast DCE MRI parameters were calculated for each participant from the fitted time-signal intensity curve. Multivariable logistic regression was used to identify independent predictors of pathologic complete response (pCR) and residual cancer burden (RCB). Results Fifty women (mean age, 49 years ± 12 [SD]) were included in the study; 20 achieved pCR and 25 achieved low RCB (RCB-0 and I). A wash-in slope (WIS) cutoff value of 1. 6% per second had a sensitivity of 94% (17 of 18 participants) and a specificity of 59% (19 of 32 participants) for pCR. A WIS of more than 1. 6% per second (odds ratio [OR], 8. 4 [95% CI: 1.
5, 48. 2]; P = . 02), human epidermal growth factor receptor 2 (HER2) positivity (OR, 6. 3 [95% CI: 1. 5, 27. 4]; P = . 01), and tumor-infiltrating lymphocytes of more than 10% (OR, 6. 9 [95% CI: 1. 3, 37. 7]; P = . 03) were independent predictive factors of pCR. The area under the receiver operating characteristic curve of the three-component model, which included WIS, tumor-infiltrating lymphocytes, and HER2 positivity, was 0. 92 (95% CI: 0. 84, 0. 99). A WIS of more than 1. 6% per second was associated with higher pCR rates in the HER2-positive (OR, 21. 7 [95% CI: 1. 8, 260. 6]; P = . 02) breast cancer subgroup.
For luminal HER2-negative and triple-negative breast cancers, a WIS of more than 1. 6% per second was associated with low RCB (OR, 11. 0 [95% CI: 1. 1, 106. 4]; P = . 04). Conclusion The wash-in slope (WIS) assessment at initial ultrafast dynamic contrast-enhanced MRI may be used to predict pathologic complete response (pCR) in participants with breast cancer.
The WIS value was used to identify two subsets of human epidermal growth factor receptor 2-positive cancers with distinct pCR rates. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Lee and Moy in this issue.
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