Literature DB >> 33722246

Dynamic contrast enhanced-MRI and diffusion-weighted image as predictors of lymphovascular invasion in node-negative invasive breast cancer.

Bo Bae Choi1.   

Abstract

BACKGROUND: Lymphovascular invasion (LVI) is an important risk factor for prognosis of breast cancer and an unfavorable prognostic factor in node-negative invasive breast cancer patients. The purpose of this study was to evaluate the association between LVI and pre-operative features of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted imaging (DWI) in node-negative invasive breast cancer.
METHODS: Data were collected retrospectively from 132 cases who had undergone pre-operative MRI and had invasive breast carcinoma confirmed on the last surgical pathology report. MRI and DWI data were analyzed for the size of tumor, mass shape, margin, internal enhancement pattern, kinetic enhancement curve, high intratumoral T2-weighted signal intensity, peritumoral edema, DWI rim sign, and apparent diffusion coefficient (ADC) values. We calculated the relationship between presence of LVI and various prognostic factors and MRI features.
RESULTS: Pathologic tumor size, mass margin, internal enhancement pattern, kinetic enhancement curve, DWI rim sign, and the difference between maximum and minimum ADC were significantly correlated with LVI (p < 0.05).
CONCLUSIONS: We suggest that DCE-MRI with DWI would assist in predicting LVI status in node-negative invasive breast cancer patients.

Entities:  

Keywords:  Breast cancer; Diffusion-weighted imaging; Lymphovascular invasion; Magnetic resonance imaging

Mesh:

Substances:

Year:  2021        PMID: 33722246      PMCID: PMC7962354          DOI: 10.1186/s12957-021-02189-3

Source DB:  PubMed          Journal:  World J Surg Oncol        ISSN: 1477-7819            Impact factor:   2.754


  42 in total

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3.  Sensitivity and specificity of unilateral edema on T2w-TSE sequences in MR-Mammography considering 974 histologically verified lesions.

Authors:  Pascal A T Baltzer; Fan Yang; Matthias Dietzel; Aimée Herzog; Anke Simon; Tibor Vag; Mieczyslaw Gajda; Oumar Camara; Werner Alois Kaiser
Journal:  Breast J       Date:  2010 May-Jun       Impact factor: 2.431

4.  Correlations between diffusion-weighted imaging and breast cancer biomarkers.

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Journal:  Eur Radiol       Date:  2012-03-13       Impact factor: 5.315

5.  Preoperative MRI features associated with lymphovascular invasion in node-negative invasive breast cancer: A propensity-matched analysis.

Authors:  Hyejin Cheon; Hye Jung Kim; So Mi Lee; Seung Hyun Cho; Kyung Min Shin; Gab Chul Kim; Ji Young Park; Won Hwa Kim
Journal:  J Magn Reson Imaging       Date:  2017-04-03       Impact factor: 4.813

6.  Is evaluation of the presence of prepectoral edema on T2-weighted with fat-suppression 3 T breast MRI a simple and readily available noninvasive technique for estimation of prognosis in patients with breast cancer?

Authors:  Takayoshi Uematsu; Masako Kasami; Junichiro Watanabe
Journal:  Breast Cancer       Date:  2013-01-23       Impact factor: 4.239

7.  Correlation of lymphovascular invasion with clinicopathological factors in invasive breast cancer: a meta-analysis.

Authors:  San-Di Shen; Shi-Zhen Zhong; Chun-Zhong Wang; Wen-Hua Huang
Journal:  Int J Clin Exp Med       Date:  2015-10-15

8.  Population-based study of peritumoral lymphovascular invasion and outcome among patients with operable breast cancer.

Authors:  Bent Ejlertsen; Maj-Britt Jensen; Fritz Rank; Birgitte B Rasmussen; Peer Christiansen; Niels Kroman; Marianne E Kvistgaard; Marie Overgaard; Dorte B Toftdahl; Henning T Mouridsen
Journal:  J Natl Cancer Inst       Date:  2009-05-12       Impact factor: 13.506

9.  Intravoxel incoherent motion magnetic resonance imaging for breast cancer: A comparison with benign lesions and evaluation of heterogeneity in different tumor regions with prognostic factors and molecular classification.

Authors:  Ming Zhao; Kuang Fu; Lei Zhang; Wenhui Guo; Qiong Wu; Xue Bai; Ziyao Li; Qiang Guo; Jiawei Tian
Journal:  Oncol Lett       Date:  2018-08-16       Impact factor: 2.967

10.  A Nomogram for Predicting the Oncotype DX Recurrence Score in Women with T1-3N0-1miM0 Hormone Receptor‒Positive, Human Epidermal Growth Factor 2 (HER2)‒Negative Breast Cancer.

Authors:  Sae Byul Lee; Junetae Kim; Guiyun Sohn; Jisun Kim; Il Yong Chung; Hee Jeong Kim; Beom Seok Ko; Byung Ho Son; Sei-Hyun Ahn; Jong Won Lee; Kyung Hae Jung
Journal:  Cancer Res Treat       Date:  2018-11-01       Impact factor: 4.679

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  1 in total

1.  MRI-Based Radiomics for Preoperative Prediction of Lymphovascular Invasion in Patients With Invasive Breast Cancer.

Authors:  Mayidili Nijiati; Diliaremu Aihaiti; Aisikaerjiang Huojia; Abudukeyoumujiang Abulizi; Sailidan Mutailifu; Nueramina Rouzi; Guozhao Dai; Patiman Maimaiti
Journal:  Front Oncol       Date:  2022-06-06       Impact factor: 5.738

  1 in total

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