Research progress of ultrasound radiomics based on artificial intelligence in the diagnosis and treatment of breast cancer&nbsp;

HUANG Yini; ZHOU Jianhua

doi:10.19732/j.cnki.2096-6210.2024.01.002

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Research progress of ultrasound radiomics based on artificial intelligence in the diagnosis and treatment of breast cancer

更新时间：2025-12-15

- Research progress of ultrasound radiomics based on artificial intelligence in the diagnosis and treatment of breast cancer
- Vol. 33, Issue 1, Pages: 6-12(2024)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.19732/j.cnki.2096-6210.2024.01.002
  CLC：
- Published Online：05 March 2024，
  
  Published：05 March 2024
- 稿件说明：
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黄仪妮,周建华. 基于人工智能的超声影像组学在乳腺癌诊疗中的研究进展[J]. 肿瘤影像学, 2024, 33(1): 6-12 https://doi.

org/10.19732/j.cnki.2096-6210.2024.01.002
黄仪妮,周建华. 基于人工智能的超声影像组学在乳腺癌诊疗中的研究进展[J]. 肿瘤影像学, 2024, 33(1): 6-12 https://doi. DOI： 10.19732/j.cnki.2096-6210.2024.01.002.

org/10.19732/j.cnki.2096-6210.2024.01.002 DOI：

摘要

乳腺癌的精准诊疗对改善患者预后具有重要意义。超声普遍应用于乳腺癌的筛查、诊断和疗效评价中。超声影像组学是利用高通量方法从超声图像中提取大量的特征，反映肿瘤的微观变化和生物学行为。基于人工智能的超声影像组学模型逐步应用于乳腺癌的诊疗评估中，旨在助力乳腺癌的精准诊疗。本文简要介绍了基于人工智能的超声影像组学在乳腺癌筛查诊断、分子分型、腋窝淋巴结转移评估、新辅助治疗效果评估方面的研究进展，并讨论该技术应用的局限性、挑战和未来发展方向。

Abstract

Accurate diagnosis and treatment of breast cancer significantly improve patient outcomes. Ultrasound is commonly used in the screening

diagnosis

and evaluation of therapeutic effects in breast cancer. Ultrasound radiomics uses high-throughput methods to extract numerous features from ultrasound images

reflecting the microscopic changes and biological behavior of the tumors. Ultrasound radiomics models based on artificial intelligence are gradually developed and applied in the diagnosis andtreatment evaluation of breast cancer

aiming to facilitate the precise diagnosis and treatment of breast cancer. This article briefly introduced the research progress of ultrasound imaging based on artificial intelligence in breast cancer screening and diagnosis

molecular classification

axillary lymph node metastasis assessment

and neoadjuvant treatment efficacy assessment

summarized the limitations

challenges and the future development direction of the application of this technology.

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Related Author

Yuqing HE

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Related Institution

Department of Ultrasound, The First Hospital of Qinhuangdao

Qinhuangdao Health School, Qin Huangdao

Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University

Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University

Department of Ultrasound, Shanghai Punan Hospital of Pudong New District

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