1. Pretreatment synthetic MRI features for triple-negative breast cancer.
- Author
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Zhang Q, Zhao Y, Nie J, Long Q, Wang X, Wang X, Gong G, Liao L, Yi X, and Chen BT
- Subjects
- Humans, Female, Prospective Studies, Retrospective Studies, Magnetic Resonance Imaging methods, Breast diagnostic imaging, Breast pathology, Triple Negative Breast Neoplasms diagnostic imaging, Triple Negative Breast Neoplasms pathology, Breast Neoplasms pathology
- Abstract
Aim: To evaluate the quantitative parameters derived from synthetic magnetic resonance imaging (SyMRI) for predicting triple-negative breast cancer (TNBC)., Materials and Methods: This prospective study enrolled participants with invasive ductal breast carcinoma (IDBC) and separated them into a TNBC group and a Non-TNBC group. Preoperative breast MRI included both the SyMRI and conventional MRI sequences. The quantitative parameters derived from the SyMRI included T1 and T2 relaxation times, proton density (PD), and their standard deviations (SD). Clinicopathological characteristics, conventional MRI findings, and quantitative synthetic parameters were assessed for all participants. Multivariable logistic regression analysis was performed to determine the potential independent imaging predictors for TNBC preoperatively. Receiver operating characteristic (ROC) curve analysis was used to evaluate the performance of these parameters., Results: A total of 231 participants with histopathological proven IDBC were included in this study (n=46 in the TNBC group and n=185 in the Non-TNBC group). The TNBC group had significantly larger tumour size (p=0.011) and more frequent intratumoural cystic or necrotic lesions (p<0.001) as compared to the Non-TNBC group. The univariate analysis showed that the TNBC tumours had significantly higher T1 (p=0.006) and T2 (p<0.001) values than Non-TNBC tumours. Subsequent multivariable analysis indicated that T2 values and the presence of cystic or necrotic lesions were the independent predictors for TNBC., Conclusion: The T2 from synthetic imaging and the presence of cystic degeneration or necrosis within the breast cancer may serve as potential imaging biomarkers for preoperative differentiation of TNBC from Non-TNBC., (Copyright © 2023. Published by Elsevier Ltd.)
- Published
- 2024
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