|Table of Contents|

Study on the correlation between pathobiological indexes of breast cancer,preoperative digital breast tomographic findings and lymphovascular invasion

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

Issue:
2024 20
Page:
3935-3941
Research Field:
Publishing date:

Info

Title:
Study on the correlation between pathobiological indexes of breast cancer,preoperative digital breast tomographic findings and lymphovascular invasion
Author(s):
ZENG Yihui; LI Hongen; LYU Peifeng; LI Yuelong; LI Chengwei; MEI Shiwei
Department of Radiology,Guangdong Province Hospital for Women and Children Healthcare,Guangdong Guangzhou 511400,China.
Keywords:
digital breast tomography; lymphovascular invasion; breast cancer; influencing factor
PACS:
R737.9
DOI:
10.3969/j.issn.1672-4992.2024.20.022
Abstract:
Objective:To investigate the correlation between pathobiological indexes,preoperative digital breast tomographic (DBT) findings and lymphovascular invasion (LVI),in order to provide help for the treatment and prognosis of breast cancer.Methods:Clinical imaging data of 406 patients who were pathologically diagnosed with breast cancer in our hospital from March 2019 to August 2022 were retrospectively analyzed.All patients underwent DBT examination before surgery.According to the postoperative pathology as the gold standard,the patients were divided into LVI positive group (216 cases) and LVI negative group (190 cases).Independent sample t test,χ2 test,Fisher exact probability method and Mann-Whitney U test were used to compare the differences between the two groups in clinicopathological features.Results:The results of single factor analysis showed that there were significant differences in pathological type,pathological tumor size,histological grade,sentinel lymph node metastasis,axillary lymph node metastasis,Ki-67 and molecular classification (P values were 0.007,0.000,0.016,0.000,0.000,0.002,0.023,respectively).There was no significant difference in age,ER,PR and Her-2 status (all P＞0.05).In terms of DBT imaging features,there were statistically significant differences in DBT tumor size and calcification morphology (P values were 0.025 and 0.013,respectively),while there were no statistically significant differences in breast density,X-ray manifestations,mass morphology,burr signs,microcalcification and calcification distribution (all P＞0.05).Conclusion:Lymphovascular invasion of breast cancer is related to pathological type,tumor size,histological grade,sentinel lymph node,axillary lymph node,Ki-67,molecular classification,and calcification morphology.Preoperative DBT imaging features and clinicopathological features are helpful to predict the status of lymphovascular invasion of breast cancer.

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