The role of multiparametric MRI in predicting lymphovascular invasion in breast cancer patients

<b>Background:</b> This study aims to investigate the efficacy of multifactorial MRI in diagnosing breast cancer, specifically in the context of predicting lymphovascular invasion (LVI).<b>Materials & methods:</b> The patients were stratified into two groups: the primary group (100 patients) and the validation group (100 patients), based on essential characteristics. Multifactorial MRI, encompassing tumor size evaluation, diffusion coefficient assessment and dynamic contrast enhancement, was employed for patient examination.<b>Results:</b> Statistically significant differences were observed in tumor size, diffusion coefficient and dynamic contrast enhancement between groups with LVI (LVI+) and those without (LVI-). Key parameters were identified for predicting the degree of invasion.<b>Conclusion:</b> The results affirm the effectiveness of multifactorial MRI in forecasting LVI.

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Publication Details

Journal
Future Oncology
Published
2024-09-13
DOI
https://doi.org/10.1080/14796694.2024.2396273
Citations
1
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
0.40
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article

The role of multiparametric MRI in predicting lymphovascular invasion in breast cancer patients

Zhongxian Yang, Wanchang Tan, Yubao Liu, Siqing Jing et al.
1 citations
Future Oncology
MRI in cancer diagnosis
0.40
article

The role of multiparametric MRI in predicting lymphovascular invasion in breast cancer patients

Zhongxian Yang, Wanchang Tan, Yubao Liu, Siqing Jing, Jinhua Wang
article en
1 citations

Abstract

<b>Background:</b> This study aims to investigate the efficacy of multifactorial MRI in diagnosing breast cancer, specifically in the context of predicting lymphovascular invasion (LVI).<b>Materials & methods:</b> The patients were stratified into two groups: the primary group (100 patients) and the validation group (100 patients), based on essential characteristics. Multifactorial MRI, encompassing tumor size evaluation, diffusion coefficient assessment and dynamic contrast enhancement, was employed for patient examination.<b>Results:</b> Statistically significant differences were observed in tumor size, diffusion coefficient and dynamic contrast enhancement between groups with LVI (LVI+) and those without (LVI-). Key parameters were identified for predicting the degree of invasion.<b>Conclusion:</b> The results affirm the effectiveness of multifactorial MRI in forecasting LVI.

Future OncologyVol. 20(35)
Third Affiliated Hospital of Southern Medical University (CN), Southern Medical University Shenzhen Hospital (CN), South China University of Technology (CN)
Good health and well-being
Openalex Percentile: Top 35%
MRI in cancer diagnosis
0.40
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