REVIEW article

Front. Oncol.

Sec. Breast Cancer

Volume 15 - 2025 | doi: 10.3389/fonc.2025.1589142

Ultrasound elastography: Advances and challenges in early detection of breast cancer

Provisionally accepted
Jianmin  ZhouJianmin ZhouYanchun  ZhangYanchun ZhangShaohua  ShiShaohua Shi*
  • Yantai Mountain View Hospital, Yantai, China

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

This review explores recent advances in ultrasound elastography for breast cancer detection, focusing on technological innovations, clinical validation, and emerging challenges in early diagnosis. We analyze how modern elastographic techniques have evolved to address the critical need for accurate, non-invasive breast cancer screening and characterization. Recent methodological developments in ultrasound elastography have significantly enhanced its diagnostic capabilities, particularly in distinguishing malignant from benign breast lesions. We highlight breakthrough technologies including shear wave elastography, strain ratio measurements, and advanced quantitative methods that provide detailed mechanical characterization of breast tissue. The review specifically addresses how these techniques improve the detection of small, early-stage tumors and reduce false-positive rates in dense breast tissue. Artificial intelligence integration has transformed breast elastography workflow, introducing sophisticated pattern recognition and automated lesion characterization. The review also addresses current challenges, including the need for technical standardization, ensuring consistent reproducibility across different settings, managing economic costs, improving accessibility, and developing comprehensive education and training programs for healthcare providers. We analyze emerging solutions, including novel quality assurance protocols and adaptive imaging techniques that accommodate different breast tissue compositions. On summarizing and critically analyzing clinical evidence and technological developments, this review provides a comprehensive perspective on the current state and future directions of breast ultrasound elastography. The integration of advanced elastographic methods with artificial intelligence and standardized protocols promises to establish ultrasound elastography as an essential tool in early breast cancer detection, potentially improving patient outcomes through earlier intervention.

Keywords: ultrasound elastography, breast cancer, Early detection, artificial intelligence, Diagnostic Imaging, screening

Received: 07 Mar 2025; Accepted: 09 Jun 2025.

Copyright: © 2025 Zhou, Zhang and Shi. 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: Shaohua Shi, Yantai Mountain View Hospital, Yantai, China

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