Literature DB >> 33073463

MRI-based predictive factors of axillary lymph node status in breast cancer.

David Atallah1,2, Malak Moubarak1,2, Wissam Arab1,2, Nadine El Kassis1,2, Georges Chahine1,3, Christine Salem1,4.   

Abstract

To evaluate the diagnostic value of diffusion-weighted imaging (DWI) in combination with conventional MRI in predicting metastatic axillary lymph nodes (ALN) in breast cancer (BC). We reviewed pathological findings and clinical breast MRI examinations of 169 patients with invasive BC who were evaluated at the Hôtel-Dieu de France Hospital in 2009-2015. Morphological parameters and apparent diffusion coefficient (ADC) value were compared with pathological nodal status. Independent t-test/chi-square test and a Pearson correlation analysis were used. With pathological diagnosis as reference, MRI-based interpretations were 87.5% specific and 70.3% sensitive. On conventional MRI, the round shape of lymph nodes (LNs), loss of fatty hilum, irregular margins and hypo-intensity/heterogeneous intensity on T2-weighted sequence were statistically significantly different between metastatic and nonmetastatic groups (P < .001, each). Mean size of metastatic ALN was larger compared with negative ALN (13.9 mm vs. 10.9 mm, P < .001). LNs ≥ 12 mm were associated with higher risk of metastasis (P < .001). ADC value was not significantly different between both groups (P = .862). Conventional MRI using the ALN shape, signal intensity in T2-weighted sequences, loss of fatty hilum, regularity of the margins and size of the LNs can evaluate the axilla with high specificity. ADC value could not be used as a reliable parameter.
© 2020 Wiley Periodicals LLC.

Entities:  

Keywords:  apparent diffusion coefficient; axillary lymph node (ALN); breast cancer; diffusion-weighted imaging (DWI); magnetic resonance imaging (MRI); sentinel lymph node biopsy (SLNB)

Mesh:

Year:  2020        PMID: 33073463     DOI: 10.1111/tbj.14089

Source DB:  PubMed          Journal:  Breast J        ISSN: 1075-122X            Impact factor:   2.431


  2 in total

1.  Optimal Selection of Imaging Examination for Lymph Node Detection of Breast Cancer With Different Molecular Subtypes.

Authors:  Mingjie Zheng; Yue Huang; Jinghui Peng; Yiqin Xia; Yangyang Cui; Xu Han; Shui Wang; Hui Xie
Journal:  Front Oncol       Date:  2022-07-13       Impact factor: 5.738

2.  Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Based on Intratumoral and Peritumoral DCE-MRI Radiomics Nomogram.

Authors:  Ying Liu; Xing Li; Lina Zhu; Zhiwei Zhao; Tuan Wang; Xi Zhang; Bing Cai; Li Li; Mingrui Ma; Xiaojian Ma; Jie Ming
Journal:  Contrast Media Mol Imaging       Date:  2022-08-18       Impact factor: 3.009

  2 in total

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