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 and treatment 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.
基金项目
广东省自然科学基金面上项目(2023A1515011564)
中山大学肿瘤防治中心国自然青年项目培育计划(郁金香人才培养项目)(2024yfd20)
维普
万方数据