Bibliographic Details
| Title: |
Can MRI Biomarkers Predict Triple-Negative Breast Cancer? |
| Authors: |
Giuliana Moffa, Francesca Galati, Emmanuel Collalunga, Veronica Rizzo, Endi Kripa, Giulia D’Amati, Federica Pediconi |
| Source: |
Diagnostics, Vol 10, Iss 12, p 1090 (2020) |
| Publisher Information: |
MDPI AG, 2020. |
| Publication Year: |
2020 |
| Collection: |
LCC:Medicine (General) |
| Subject Terms: |
triple-negative breast cancer, 3 T MRI, DWI, breast cancer prognostic factors, Medicine (General), R5-920 |
| More Details: |
The purpose of this study was to investigate MRI features of triple-negative breast cancer (TNBC) compared with non-TNBC, to predict histopathological results. In the study, 26 patients with TNBC and 24 with non-TNBC who underwent multiparametric MRI of the breast on a 3 T magnet over a 10-months period were retrospectively recruited. MR imaging sets were evaluated by two experienced breast radiologists in consensus and classified according to the 2013 American College of Radiology (ACR) BI-RADS lexicon. The comparison between the two groups was performed using the Chi-square test and followed by logistic regression analyses. We found that 92% of tumors presented as mass enhancements (p = 0.192). 41.7% of TNBC and 86.4% of non-TNBC had irregular shape (p = 0.005); 58.3% of TNBC showed circumscribed margins, compared to 9.1% of non-TNBC masses (p = 0.001); 75% of TNBC and 9.1% of non-TNBC showed rim enhancement (p < 0.001). Intralesional necrosis was significantly associated with TNBC (p = 0.016). Rim enhancement and intralesional necrosis risulted to be positive predictors at univariate analysis (OR = 29.86, and 8.10, respectively) and the multivariate analysis confirmed that rim enhancement is independently associated with TNBC (OR = 33.08). The mean ADC values were significantly higher for TNBC (p = 0.011). In conclusion, TNBC is associated with specific MRI features that can be possible predictors of pathological results, with a consequent prognostic value. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2075-4418 |
| Relation: |
https://www.mdpi.com/2075-4418/10/12/1090; https://doaj.org/toc/2075-4418 |
| DOI: |
10.3390/diagnostics10121090 |
| Access URL: |
https://doaj.org/article/58cee04f39424c629eefa31519f109bf |
| Accession Number: |
edsdoj.58cee04f39424c629eefa31519f109bf |
| Database: |
Directory of Open Access Journals |
