Feasibility Analysis of Ultra‐Resolution Microscopy Based on Contrast‐Enhanced Ultrasound (CEUS) in Benign and Malignant Breast Lesions

Peng‐Fei Sun; Li‐Xue Zhai; Yun‐Yun Dong; Xiang‐Dong Hu; Lin‐Xue Qian; Jun‐Feng Zhao

doi:10.1002/jum.16699

journal article Apr 09, 2025

Feasibility Analysis of Ultra‐Resolution Microscopy Based on Contrast‐Enhanced Ultrasound (CEUS) in Benign and Malignant Breast Lesions

Peng‐Fei Sun Li‐Xue Zhai Yun‐Yun Dong Xiang‐Dong Hu

Lin‐Xue Qian

Jun‐Feng Zhao

Journal of Ultrasound in Medicine Vol. 44 No. 8 pp. 1437-1446 · Wiley

View at Publisher Save 10.1002/jum.16699

Abstract

ObjectiveTo investigate the diagnostic value of quantitative analysis using ultra‐resolution microscopy (URM) in differentiating benign from malignant breast lesions.Material and MethodsThis prospective study enrolled 60 patients with 60 breast lesions who underwent contrast‐enhanced ultrasound (CEUS) using SonoVue (Bracco Imaging, Italy) between June 2024 and August 2024. Quantitative parameters of microvascular density and velocity maps were generated for the lesion interior, rim region, and combined interior and rim area using URM software on CEUS images. The parameters were analyzed for differences between benign and malignant breast lesions, and their diagnostic efficacy was evaluated.ResultsMultivariate analysis indicated that breast malignancy was associated with microvascular ratio and complexity level. The area under the curve (AUC) for the combined diagnostic method that included microvascular parameters at the lesion margin (Rim group) and BI‐RADS classification + Rim was higher than other diagnostic approaches (AUC = 0.92), although there was no significant difference when compared with the combined approach of evaluating parameters within the lesion and at the margin alongside BI‐RADS (Mass + Rim + BI‐RADS group, P = .293). The BI‐RADS group showed high sensitivity (100%) and negative predictive value (100%); the Mass group (parameters within the lesion) demonstrated higher sensitivity (87.0%), and the Rim group (parameters at the lesion margin) exhibited the highest specificity (91.9%).ConclusionURM shows potential in distinguishing between benign and malignant breast lesions, offering a precise assessment of lesion hemodynamics and providing valuable information for clinical diagnosis and treatment.

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References

21

[1]

10.1038/nrc2868

[2]

Vascular heterogeneity and specialization in development and disease

Michael Potente, Taija Mäkinen

Nature Reviews Molecular Cell Biology 10.1038/nrm.2017.36

[3]

10.1152/ajpheart.00589.2021

[4]

10.1007/s00330-023-10255-5

[5]

10.1007/s00345-018-2520-3

[6]

Functional ultrasound localization microscopy reveals brain-wide neurovascular activity on a microscopic scale

Noémi Renaudin, Charlie Demené, Alexandre Dizeux et al.

Nature Methods 10.1038/s41592-022-01549-5

[7]

Ultrasound super-resolution imaging for differential diagnosis of breast masses

Ge Zhang, Yu-Meng Lei, Nan Li et al.

Frontiers in Oncology 10.3389/fonc.2022.1049991

[8]

Ultrasound super-resolution imaging provides a noninvasive assessment of renal microvasculature changes during mouse acute kidney injury

Qiyang Chen, Jaesok Yu, Brittney M. Rush et al.

Kidney International 10.1016/j.kint.2020.02.011

[9]

10.1002/jum.16249

[10]

10.1259/bjr.20160546

[11]

Super-resolution ultrasound localization microscopy based on a high frame-rate clinical ultrasound scanner: an in-human feasibility study

Chengwu Huang, Wei Zhang, Ping Gong et al.

Physics in Medicine and Biology 10.1088/1361-6560/abef45

[12]

10.1148/radiology.199.1.8633130

[13]

10.1007/s10549-016-3758-3

[14]

10.1038/srep11085

[15]

10.1097/js9.0000000000001186

[16]

10.1007/s00330-017-4835-7

[17]

10.1007/s10549-020-05609-2

[18]

Superb microvascular imaging for evaluation of microvascularity in breast nodules compared with conventional Doppler imaging

Xiuwen Zhang, Fangyuan Cheng, Xingjun Song et al.

Quantitative Imaging in Medicine and Surgery 10.21037/qims-23-136

[19]

10.3390/diagnostics10090631

[20]

10.1016/j.ultrasmedbio.2013.10.015

[21]

10.1016/j.kint.2023.01.027

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Details

Published: Apr 09, 2025
Vol/Issue: 44(8)
Pages: 1437-1446
License: View

Authors

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Peng‐Fei Sun