دورية أكاديمية

Can MRI Biomarkers Predict Triple-Negative Breast Cancer?

التفاصيل البيبلوغرافية
العنوان: Can MRI Biomarkers Predict Triple-Negative Breast Cancer?
المؤلفون: Giuliana Moffa, Francesca Galati, Emmanuel Collalunga, Veronica Rizzo, Endi Kripa, Giulia D’Amati, Federica Pediconi
المصدر: Diagnostics, Vol 10, Iss 12, p 1090 (2020)
بيانات النشر: MDPI AG, 2020.
سنة النشر: 2020
المجموعة: LCC:Medicine (General)
مصطلحات موضوعية: triple-negative breast cancer, 3 T MRI, DWI, breast cancer prognostic factors, Medicine (General), R5-920
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2075-4418
العلاقة: https://www.mdpi.com/2075-4418/10/12/1090Test; https://doaj.org/toc/2075-4418Test
DOI: 10.3390/diagnostics10121090
الوصول الحر: https://doaj.org/article/58cee04f39424c629eefa31519f109bfTest
رقم الانضمام: edsdoj.58cee04f39424c629eefa31519f109bf
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20754418
DOI:10.3390/diagnostics10121090