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乳腺超声S-Detect技术在BI-RADS 4级乳腺肿块诊断中的应用价值

徐婷婷 沈莉莉 安林林 唐新玉

川北医学院学报2025,Vol.40Issue(4):434-437,4.
川北医学院学报2025,Vol.40Issue(4):434-437,4.DOI:10.3969/j.issn.1005-3697.2025.04.006

乳腺超声S-Detect技术在BI-RADS 4级乳腺肿块诊断中的应用价值

Application value of breast ultrasound artificial intelligence S-Detect tech-nology in the diagnosis of BI-RADS 4 breast masses

徐婷婷 1沈莉莉 1安林林 1唐新玉1

作者信息

  • 1. 合肥市第二人民医院·安徽医科大学附属合肥医院超声医学科,安徽 合肥 230011
  • 折叠

摘要

Abstract

Objective:To analyze the application value of breast ultrasound artificial intelligence S-Detect technology in the diag-nosis of BI-RADS 4 breast masses.Methods:Totally 102 patients diagnosed with BI-RADS 4 breast masses(102 masses)by conven-tional ultrasound were reviewed.All of them underwent detection using breast ultrasound S-Detect technology.Histopathological results were used as the gold standard to compare the diagnostic efficacy of conventional ultrasound and breast ultrasound S-Detect technology for BI-RADS 4 breast masses.Results:Among the 102 cases enrolled,62 cases were confirmed by pathology,including 33 cases with benign masses and 29 cases with malignant masses.The sensitivity,specificity,accuracy,positive and negative predictive values of breast ultrasound S-Detect technology for diagnosing benign and malignant BI-RADS 4 breast masses(93.10%,96.97%,95.16%,96.43%and 96.12%)were higher than those of conventional ultrasound(72.41%,78.79%,75.81%,75.00%and 76.47%)(P<0.05).The AUC of breast ultrasound S-Detect technology was 0.874,which was larger than that of conventional ultrasound(0.718)(Z=2.274,P=0.023).Conclusion:Breast ultrasound S-Detect technology has high value in differential diagnosis of benign and malignant BI-RADS 4 breast masse and is worthy of clinical promotion.

关键词

乳腺超声/S-Detect技术/BI-RADS 4级/乳腺肿块

Key words

Breast ultrasound/S-Detect technology/BI-RADS 4/Breast mass

分类

临床医学

引用本文复制引用

徐婷婷,沈莉莉,安林林,唐新玉..乳腺超声S-Detect技术在BI-RADS 4级乳腺肿块诊断中的应用价值[J].川北医学院学报,2025,40(4):434-437,4.

基金项目

安徽省重点研究与开发计划项目(201904a07020068) (201904a07020068)

合肥市第二人民医院科研项目(2022yyb017) (2022yyb017)

川北医学院学报

1005-3697

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