|Table of Contents|

Prediction of lymphovascular invasion state in breast invasive ductal carcinoma based on MRI features combined with pathological and biological indicators

Journal Of Modern Oncology[ISSN:1672-4992/CN:61-1415/R]

Issue:
2024 04
Page:
689-696
Research Field:
Publishing date:

Info

Title:
Prediction of lymphovascular invasion state in breast invasive ductal carcinoma based on MRI features combined with pathological and biological indicators
Author(s):
LI Hongen; LYU Peifeng; LI Yuelong; LI Chengwei; ZENG Yihui; WANG Xia
Department of Radiology,Guangdong Province Hospital for Women and Children Healthcare，Guangdong Guangzhou 511442,China.
Keywords:
magnetic resonance imaging; invasive ductal carcinoma; lymphovascular invasion; influencing factor
PACS:
R737.9
DOI:
10.3969/j.issn.1672-4992.2024.04.018
Abstract:
Objective:To investigate the application value of magnetic resonance imaging (MRI) features,clinicopathological and biological indicators in the prediction of lymphovascular invasion (LVI) in breast invasive ductal carcinoma.Methods:A total of 325 patients with breast invasive ductal carcinoma confirmed by pathology were retrospectively included.They were divided into LVI positive group (161 cases) and LVI negative group (164 cases) according to the presence or absence of cancer embolus in the vasculature.The MRI morphological features and hemodynamic parameters of breast invasive ductal carcinoma were observed.Independent sample χ2 test,t test,Fisher exact probability method and Mann-Whitney U test were used to analyze the differences between the two groups in MRI features,clinicopathological and biological indicators,and the independent risk factors of LVI were analyzed by Logistic multivariate regression.Results:The results of single factor analysis of clinicopathological and biological indicators showed there were significant differences in pathological tumor size,histological grade,sentinel lymph node metastasis,Ki-67 index,and molecular classification between LVI positive group and LVI negative group (P=0.000,0.005,0.000,0.000,0.000).There were no significant differences in age,ER status,PR status and Her-2 status (all P>0.05).The results of single factor analysis of MRI characteristics showed there were statistically significant differences in MRI tumor size and MRI axillary lymph node metastasis between LVI positive group and LVI negative group (P=0.000,0.002),while there were no statistically significant differences in breast density,lesion type,tumor morphology,tumor boundary,burr sign and TIC type (all P>0.05).Multivariate Logistic regression analysis further included the statistically significant indicators in the univariate analysis,and the results showed that sentinel lymph node metastasis (OR=0.081,95%CI:0.031~0.213,P=0.000),high expression of Ki-67 (OR=1.375E-8,95%CI:2.436E-9~7.767E-8,P=0.000),molecular classification Her-2 overexpression type (OR=12.148,95%CI:1.843~80.065,P=0.009),MRI tumor size ≥2 cm (OR=0.341,95%CI:0.126~0.922,P=0.034) were independent risk factors for LVI of breast invasive ductal carcinoma.Conclusion:The LVI of breast invasive ductal carcinoma is related to pathological tumor size,histological grade,sentinel lymph node metastasis,Ki-67 index,molecular classification,MRI tumor size and MRI axillary lymph node metastasis.Sentinel lymph node metastasis,high expression of Ki-67,molecular typing Her-2 overexpression and MRI tumor size ≥2 cm were independent risk factors for LVI of breast invasive ductal carcinoma.MRI features,clinicopathological and biological indicators are helpful to predict the state of LVI in breast invasive ductal carcinoma.

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