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基于BI-RADS超声风险分层系统的乳腺图像特征与腋窝淋巴结转移的相关性研究

周晓玉

影像科学与光化学2024,Vol.42Issue(2):134-140,7.
影像科学与光化学2024,Vol.42Issue(2):134-140,7.DOI:10.7517/issn.1674-0475.231022

基于BI-RADS超声风险分层系统的乳腺图像特征与腋窝淋巴结转移的相关性研究

To Investigate the Correlation between Mammary Image Features and Axillary Lymph Node Metastasis Based on BI-RADS Ultrasound Risk Stratification System

周晓玉1

作者信息

  • 1. 黄山市人民医院超声医学科,安徽黄山 245000
  • 折叠

摘要

Abstract

Objective:To investigate the correlation between mammary image features and axillary lymph node metastasis based on BI-RADS ultrasound risk stratification system.Methods:171 breast lesions from 165 breast cancer patients admitted to our hospital from March 2020 to January 2023 were selected as the research subjects,and all patients underwent breast ultrasound(US)examination to analyze the correlation between ultrasound image features of breast cancer and axillary lymph node metastasis(ALNM).Results:ALNM was significantly correlated with calcification in breast cancer patients(P<0.05),and was significantly correlated with single/multiple or diffuse tumors,blood flow richness and maximum diameter of lesions(P<0.001),and no significant correlation with morphology,margins,aspect ratio,and posterior echo(P>0.05).The four indexes related to ALNM were multivariate analyzed,and the relative risks of calcification,blood flow richness,tumor number and maximum diameter were 0.943,8.216,2.768 and 3.867,respectively,among which blood flow richness was of great significance forjudging ALNM.Breast lesions with 4 or 5 malignant ultrasound image features have a higher ALNM positivity rate.Conclusions:Based on the BI-RADS ultrasound risk stratification system,whether axillary lymph nodes are metastasized can be determined according to different image features,which provides a reliable basis for the formulation of clinical staging and prognosis assessment.

关键词

乳腺癌/BI-RADS超声风险分层系统/乳腺图像特征/腋窝淋巴结转移

Key words

breast cancer/BI-RADS ultrasound risk stratification system/breast image features/axillary lymph node metastasis

引用本文复制引用

周晓玉..基于BI-RADS超声风险分层系统的乳腺图像特征与腋窝淋巴结转移的相关性研究[J].影像科学与光化学,2024,42(2):134-140,7.

影像科学与光化学

OACSTPCD

1674-0475

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