Literature DB >> 28370761

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

Hyejin Cheon1, Hye Jung Kim1, So Mi Lee1, Seung Hyun Cho1, Kyung Min Shin1, Gab Chul Kim1, Ji Young Park2, Won Hwa Kim1.   

Abstract

PURPOSE: In node-negative disease, the presence of lymphovascular invasion (LVI) is reported to be an unfavorable prognostic factor. Thus, the aim of this study was to evaluate whether preoperative breast MRI features are associated with LVI in patients with node-negative invasive breast cancer by a propensity-matched analysis.
MATERIALS AND METHODS: Among 389 patients with node-negative invasive ductal breast cancer who had preoperative breast 3.0 Tesla MRI with precontrast T2-weighted fat-suppressed, pre- and dynamic postcontrast T1-weighted fat-suppressed sequences, 61 patients with LVI (LVI group) were matched with 183 patients without LVI (no LVI group) at a ratio of 1:3 in terms of age, histologic grade, tumor size, and hormone receptor status. Two radiologists reviewed the MRI features, following profiles of focal breast edema (peritumoral, prepectoral, subcutaneous), intratumoral T2 signal intensity, adjacent vessel sign, and increased ipsilateral whole-breast vascularity, in addition to 2013 Breast Imaging Reporting and Data System lexicon.
RESULTS: The presence of peritumoral edema (45.9% [28/61] versus 30.6% [56/183], P = 0.030) and adjacent vessel sign (82.0% [50/61] versus 68.3% [125/183], P = 0.041) was significantly associated with LVI. Prepectoral edema was also more frequently observed in the LVI group than in the no LVI group with borderline significance (26.2% [16/61] versus 15.3% [28/183], P = 0.055). In cases of nonmass enhancement, regional enhancement was more frequently found in the LVI group than in the no LVI group (60.0% [3/4] versus 5.9% [1/4], P = 0.042).
CONCLUSION: Preoperative breast MRI features may be associated with LVI in patients with node-negative invasive breast cancer. LEVEL OF EVIDENCE: 3 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2017;46:1037-1044.
© 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  T2-weighted images; breast neoplasms; lymphovascular invasion; magnetic resonance imaging; propensity score

Mesh:

Year:  2017        PMID: 28370761     DOI: 10.1002/jmri.25710

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  6 in total

1.  Kinetic volume analysis on dynamic contrast-enhanced MRI of triple-negative breast cancer: associations with survival outcomes.

Authors:  Yoko Hayashi; Hiroko Satake; Satoko Ishigaki; Rintaro Ito; Mariko Kawamura; Hisashi Kawai; Shingo Iwano; Shinji Naganawa
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2.  Dynamic contrast enhanced-MRI and diffusion-weighted image as predictors of lymphovascular invasion in node-negative invasive breast cancer.

Authors:  Bo Bae Choi
Journal:  World J Surg Oncol       Date:  2021-03-15       Impact factor: 2.754

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

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Journal:  Front Oncol       Date:  2022-06-06       Impact factor: 5.738

4.  Predicting lymphovascular invasion in clinically node-negative breast cancer detected by abbreviated magnetic resonance imaging: Transfer learning vs. radiomics.

Authors:  Bao Feng; Zhuangsheng Liu; Yu Liu; Yehang Chen; Haoyang Zhou; Enming Cui; Xiaoping Li; Xiangmeng Chen; Ronggang Li; Tianyou Yu; Ling Zhang; Wansheng Long
Journal:  Front Oncol       Date:  2022-09-15       Impact factor: 5.738

5.  Value of digital mammography in predicting lymphovascular invasion of breast cancer.

Authors:  Zhuangsheng Liu; Ruqiong Li; Keming Liang; Junhao Chen; Xiangmeng Chen; Xiaoping Li; Ronggang Li; Xin Zhang; Lilei Yi; Wansheng Long
Journal:  BMC Cancer       Date:  2020-04-03       Impact factor: 4.430

6.  Peritumoral edema in breast cancer at preoperative MRI: an interpretative study with histopathological review toward understanding tumor microenvironment.

Authors:  Nora Jee-Young Park; Ji Yun Jeong; Ji Young Park; Hye Jung Kim; Chan Sub Park; Jeeyeon Lee; Ho Yong Park; Jin Hyang Jung; Wan Wook Kim; Yee Soo Chae; Soo Jung Lee; Won Hwa Kim
Journal:  Sci Rep       Date:  2021-06-21       Impact factor: 4.379

  6 in total

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