ORIGINAL RESEARCH article

Front. Oncol.

Sec. Breast Cancer

Volume 15 - 2025 | doi: 10.3389/fonc.2025.1485671

Clinical Value of Quantitative Analysis of Sonazoid-Contrast Enhanced Ultrasound Combined with Shear Wave Elastography in Discriminating and Diagnosing Breast Tumor Characteristics

Provisionally accepted
Gang  WangGang Wang1Jicheng  ZhangJicheng Zhang2Bin  TuBin Tu2Fen  HuangFen Huang2Litao  RuanLitao Ruan1*
  • 1The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
  • 2the Shaoyang Central Hospital of Hunan Province, Shaoyang, China

The final, formatted version of the article will be published soon.

Objective: This research intends to probe the clinical value of combining Sonazoid-contrast-enhanced ultrasound (S-CEUS) quantitative analysis with shear wave elastography (SWE) for discriminating and diagnosing the nature of breast tumors.Methods: A total of 108 breast tumor patients (comprising 120 breast lesions) who were classified as category 4 breast tumor cases and underwent routine ultrasound examinations (June 2022-June 2023) were selected for this study. S-CEUS and SWE examinations were conducted on these breast lesions. The morphological characteristics of S-CEUS were assessed, including morphology (regular, irregular), boundary (clear, unclear), and internal enhancement (no enhancement, homogeneous enhancement, heterogeneous enhancement), along with dynamic enhancement features. Additionally, the maximum Young’s modulus (Emax) from SWE examinations was recorded, and the results were compared to the gold standard in pathology. The diagnostic efficacy of S-CEUS quantitative analysis, SWE alone, or their combined assessment in determining the nature of breast tumors was evaluated.Results: Among the cohort of 108 patients, a total of 120 category 4 breast lesions were analyzed, revealing 68 cases (56.67%) of pathologically confirmed malignant breast tumors and 52 cases (43.33%) of benign breast tumors. Malignant breast tumors exhibited irregular morphology, unclear boundaries, heterogeneous internal enhancement, high enhancement levels, increased enhancement ranges, perfusion defects, and predominantly washout-type time-signal intensity curve patterns. These characteristics were significantly more prevalent in malignant tumors compared to benign tumors (p<0.05). Furthermore, quantitative assessment denoted that malignant breast tumors showcased higher CEUS quantitative scores than benign tumors (p<0.05). The Emax for malignant breast tumors was (91.36±24.15) kPa, which was considerably higher than that for benign breast tumors [(49.86±20.31) kPa] (t=9.981, p<0.05). Receiver operating characteristic (ROC) curve analysis demonstrated favorable diagnostic performance in evaluating the nature of breast tumors using S-CEUS quantitative analysis (AUC: 0.845) or SWE alone (AUC: 0.789). Particularly noteworthy was the optimal diagnostic efficacy achieved through the combined assessment of S-CEUS quantitative analysis and SWE (AUC: 0.916), yielding sensitivities and specificities of 95.59% and 80.77%, respectively.Conclusion: Both S-CEUS quantitative analysis and SWE are valuable tools for the evaluation of benign and malignant characteristics in breast tumors. Particularly, their combined application demonstrates superior diagnostic efficacy.

Keywords: Breast tumors, Characteristic, quantitative analysis of contrast-enhanced ultrasound (CEUS), shear wave elastography (SWE), Diagnostic efficacy

Received: 24 Aug 2024; Accepted: 17 Apr 2025.

Copyright: © 2025 Wang, Zhang, Tu, Huang and Ruan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Litao Ruan, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China

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