Assessment of Response to Neoadjuvant Systemic Treatment in Triple-Negative Breast Cancer Using Functional Tumor Volumes from Longitudinal Dynamic Contrast-Enhanced MRI

医学 三阴性乳腺癌 动态对比度 乳腺癌 阶段(地层学) 完全响应 动态增强MRI 接收机工作特性 曲线下面积 内科学 新辅助治疗 核医学 癌症 肿瘤科 放射科 磁共振成像 化疗 生物 古生物学
作者
Bikash Panthi,Beatriz E. Adrada,Rosalind P. Candelaria,Mary S. Guirguis,Clinton Yam,Medine Boge,Huiqin Chen,Kelly K. Hunt,Lei Huo,Ken Pin Hwang,Anil Korkut,Deanna L. Lane,Huong C. Le-Petross,Jessica W. T. Leung,Jennifer K. Litton,Rania M. Mohamed,Benjamin C. Musall,Sanaz Pashapoor,Miral M. Patel,Frances Perez,Jong Bum Son,Alastair Thompson,Vicente Valero,Peng Wei,Jason White,Zhan Xu,Lawrence Pinsky,Debu Tripathy,Wei Yang,Jingfei Ma,Gaiane M. Rauch
出处
期刊:Cancers [Multidisciplinary Digital Publishing Institute]
卷期号:15 (4): 1025-1025
标识
DOI:10.3390/cancers15041025
摘要

Early assessment of neoadjuvant systemic therapy (NAST) response for triple-negative breast cancer (TNBC) is critical for patient care in order to avoid the unnecessary toxicity of an ineffective treatment. We assessed functional tumor volumes (FTVs) from dynamic contrast-enhanced (DCE) MRI after 2 cycles (C2) and 4 cycles (C4) of NAST as predictors of response in TNBC. A group of 100 patients with stage I-III TNBC who underwent DCE MRI at baseline, C2, and C4 were included in this study. Tumors were segmented on DCE images of 1 min and 2.5 min post-injection. FTVs were measured using the optimized percentage enhancement (PE) and signal enhancement ratio (SER) thresholds. The Mann-Whitney test was used to compare the performance of the FTVs at C2 and C4. Of the 100 patients, 49 (49%) had a pathologic complete response (pCR) and 51 (51%) had a non-pCR. The maximum area under the receiving operating characteristic curve (AUC) for predicting the treatment response was 0.84 (p < 0.001) for FTV at C4 followed by FTV at C2 (AUC = 0.82, p < 0.001). The FTV measured at baseline was not able to discriminate pCR from non-pCR. FTVs measured on DCE MRI at C2, as well as at C4, of NAST can potentially predict pCR and non-pCR in TNBC patients.

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