Differentiation of Benign and Malignant BI-RADS 4-5 Breast Lesions Using Ultrasound Localization Microscopy-Derived Microvascular Biomarkers: A Prospective Study.

IF 3.6 4区 医学 Q2 ONCOLOGY
Breast Cancer : Targets and Therapy Pub Date : 2026-05-23 eCollection Date: 2026-01-01 DOI:10.2147/BCTT.S596312
Wei Wei, Wenwu Lu, Wang Zhou, Di Zhang, Xiangyi Xu, Ji Zhou, Yuanyuan Gao, Yayang Duan, Chaoxue Zhang
{"title":"Differentiation of Benign and Malignant BI-RADS 4-5 Breast Lesions Using Ultrasound Localization Microscopy-Derived Microvascular Biomarkers: A Prospective Study.","authors":"Wei Wei, Wenwu Lu, Wang Zhou, Di Zhang, Xiangyi Xu, Ji Zhou, Yuanyuan Gao, Yayang Duan, Chaoxue Zhang","doi":"10.2147/BCTT.S596312","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To investigate qualitative and quantitative microvascular biomarkers derived from ultrasound localization microscopy (ULM) for differentiating benign and malignant breast lesions, and to evaluate their added value in improving BI-RADS-based diagnosis.</p><p><strong>Methods: </strong>In this prospective study, 295 patients with 301 breast lesions classified as BI-RADS category 4-5 on conventional ultrasound (US) underwent contrast-enhanced ultrasound and ULM prior to surgery or biopsy. Qualitative vascular biomarkers and quantitative parameters were derived from ULM images. Diagnostic performance was evaluated using receiver operating characteristic (ROC) analysis. BI-RADS categories were further re-evaluated by integrating ULM-derived biomarkers.</p><p><strong>Results: </strong>ULM qualitative vascular biomarkers classified microvascular morphology into five patterns: avascular, dot-strip, circular, chaotic, and radial. Benign lesions predominantly exhibited avascular, dot-strip, and circular patterns (5.6%, 23.4%, and 48.6%, respectively), whereas malignant lesions were mainly characterized by chaotic and radial patterns (56.7% and 28.4%, respectively; <i>p</i> < 0.001). The qualitative assessment achieved an AUC of 0.825 (95% CI: 0.780-0.871). All ULM quantitative biomarkers showed significant differences between benign and malignant lesions (all <i>p</i> < 0.05), among which maximum diameter demonstrated the highest diagnostic value (AUC = 0.898, 95% CI: 0.861-0.935). A combined quantitative biomarker (CQB) model further improved performance (AUC = 0.920). Integration of ULM qualitative and quantitative biomarkers with BI-RADS further improved diagnostic accuracy (AUC = 0.976; sensitivity 0.964; specificity 0.916) and may improve risk stratification beyond BI-RADS.</p><p><strong>Conclusion: </strong>ULM-derived qualitative and quantitative microvascular biomarkers provide complementary information beyond conventional ultrasound and may improve diagnostic performance and risk stratification in BI-RADS 4-5 breast lesions, but their role in safely reducing unnecessary biopsies requires further clinical validation.</p>","PeriodicalId":9106,"journal":{"name":"Breast Cancer : Targets and Therapy","volume":"18 ","pages":"596312"},"PeriodicalIF":3.6000,"publicationDate":"2026-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13217450/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Breast Cancer : Targets and Therapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/BCTT.S596312","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: To investigate qualitative and quantitative microvascular biomarkers derived from ultrasound localization microscopy (ULM) for differentiating benign and malignant breast lesions, and to evaluate their added value in improving BI-RADS-based diagnosis.

Methods: In this prospective study, 295 patients with 301 breast lesions classified as BI-RADS category 4-5 on conventional ultrasound (US) underwent contrast-enhanced ultrasound and ULM prior to surgery or biopsy. Qualitative vascular biomarkers and quantitative parameters were derived from ULM images. Diagnostic performance was evaluated using receiver operating characteristic (ROC) analysis. BI-RADS categories were further re-evaluated by integrating ULM-derived biomarkers.

Results: ULM qualitative vascular biomarkers classified microvascular morphology into five patterns: avascular, dot-strip, circular, chaotic, and radial. Benign lesions predominantly exhibited avascular, dot-strip, and circular patterns (5.6%, 23.4%, and 48.6%, respectively), whereas malignant lesions were mainly characterized by chaotic and radial patterns (56.7% and 28.4%, respectively; p < 0.001). The qualitative assessment achieved an AUC of 0.825 (95% CI: 0.780-0.871). All ULM quantitative biomarkers showed significant differences between benign and malignant lesions (all p < 0.05), among which maximum diameter demonstrated the highest diagnostic value (AUC = 0.898, 95% CI: 0.861-0.935). A combined quantitative biomarker (CQB) model further improved performance (AUC = 0.920). Integration of ULM qualitative and quantitative biomarkers with BI-RADS further improved diagnostic accuracy (AUC = 0.976; sensitivity 0.964; specificity 0.916) and may improve risk stratification beyond BI-RADS.

Conclusion: ULM-derived qualitative and quantitative microvascular biomarkers provide complementary information beyond conventional ultrasound and may improve diagnostic performance and risk stratification in BI-RADS 4-5 breast lesions, but their role in safely reducing unnecessary biopsies requires further clinical validation.

利用超声定位显微镜衍生的微血管生物标志物鉴别乳腺BI-RADS良恶性病变:一项前瞻性研究。
目的:探讨超声定位显微镜(ULM)获得的定性和定量微血管生物标志物对乳腺良恶性病变的鉴别价值,并评价其在提高bi - rad诊断中的附加价值。方法:在这项前瞻性研究中,295例301例常规超声(US) BI-RADS分类为4-5类的乳腺病变患者在手术前或活检前行超声造影和ULM检查。定性血管生物标志物和定量参数来源于ULM图像。采用受试者工作特征(ROC)分析评估诊断效果。通过整合ulm衍生的生物标志物进一步重新评估BI-RADS分类。结果:ULM定性血管生物标志物将微血管形态分为无血管、点状、圆形、混沌和放射状五种形态。良性病变主要表现为无血管、点条状和圆形(分别为5.6%、23.4%和48.6%),恶性病变主要表现为混沌和放射状(分别为56.7%和28.4%,p < 0.001)。定性评价的AUC为0.825 (95% CI: 0.780-0.871)。ULM定量生物标志物在良恶性病变间均有显著性差异(p均< 0.05),其中最大直径诊断价值最高(AUC = 0.898, 95% CI: 0.861-0.935)。联合定量生物标志物(CQB)模型进一步提高了性能(AUC = 0.920)。ULM定性和定量生物标志物与BI-RADS的结合进一步提高了诊断的准确性(AUC = 0.976;敏感性0.964;特异性0.916),并可能改善BI-RADS之外的风险分层。结论:ulm衍生的定性和定量微血管生物标志物提供了传统超声之外的补充信息,可能提高BI-RADS 4-5乳腺病变的诊断性能和风险分层,但其在安全减少不必要活检方面的作用需要进一步的临床验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
4.10
自引率
0.00%
发文量
40
审稿时长
16 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书