AUTHOR=Chen Hui , Li Wei , Wan Chao , Zhang Jue 

TITLE=Correlation of dynamic contrast-enhanced MRI and diffusion-weighted MR imaging with prognostic factors and subtypes of breast cancers

JOURNAL=Frontiers in Oncology

VOLUME=12

YEAR=2022

URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2022.942943

DOI=10.3389/fonc.2022.942943

ISSN=2234-943X

ABSTRACT=<sec><title>Objective</title><p>To determine the preoperative magnetic resonance imaging (MRI) findings of breast cancer on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted magnetic resonance imaging (DWI) in different molecular subtypes.</p></sec><sec><title>Materials and methods</title><p>A retrospective study was conducted on 116 breast cancer subjects who underwent preoperative MRI and surgery or biopsy. Three radiologists retrospectively assessed the morphological and kinetic characteristics on DCE-MRI and tumor detectability on DWI, by using apparent diffusion coefficient (ADC) values of lesions. The clinicopathologic and MRI features of four subtypes were compared. The correlation between clinical and MRI findings with molecular subtypes was evaluated using the chi-square and ANOVA tests, while the Mann–Whitney test was used to analyze the relationship between ADC and prognostic factors.</p></sec><sec><title>Results</title><p>One hundred and sixteen women diagnosed with breast cancer confirmed by surgery or biopsy had the following subtypes of breast cancer: luminal A (27, 23.3%), luminal B (56, 48.2%), HER2 positive (14, 12.1%), and triple-negative breast cancer (TNBC) (19, 16.4%), respectively. Among the subtypes, significant differences were found in axillary node metastasis, histological grade, tumor shape, rim enhancement, margin, lesion type, intratumoral T2 signal intensity, Ki-67 index, and paratumoral enhancement (<italic>p</italic> &lt; 0.001, <italic>p</italic> &lt; 0.001, <italic>p</italic> &lt; 0.001, <italic>p</italic> &lt; 0.001, <italic>p</italic> &lt; 0.001, <italic>p</italic> &lt; 0.001, <italic>p</italic> &lt; 0.001, <italic>p</italic> &lt; 0.001, and <italic>p</italic> = 0.02, respectively). On DWI, the mean ADC value of TNBC (0.910 × 10<sup>−3</sup> mm<sup>2</sup>/s) was the lowest compared to luminal A (1.477×10<sup>−3</sup> mm<sup>2</sup>/s), luminal B (0.955 × 10<sup>−3</sup> mm<sup>2</sup>/s), and HER2 positive (0.996 × 10<sup>−3</sup> mm<sup>2</sup>/s) (<italic>p</italic> &lt; 0.001). Analysis of the correlation between different prognostic factors and ADC value showed that only axillary lymph node status and ADC value had a statistically significant difference (<italic>p</italic> = 0.009).</p></sec><sec><title>Conclusion</title><p>The morphologic features of MRI can be used as imaging biomarkers to identify the molecular subtypes of breast cancer. In addition, quantitative assessments of ADC values on DWI may also provide biological clues about molecular subtypes.</p></sec>