Gu Jionghui, Jiang Tian'an
Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Key Laboratory of Pulsed Power Translational Medicine of Zhejiang Province, Hangzhou, China.
Front Oncol. 2022 Aug 17;12:963612. doi: 10.3389/fonc.2022.963612. eCollection 2022.
Breast cancer is the most common cancer in women worldwide. Providing accurate and efficient diagnosis, risk stratification and timely adjustment of treatment strategies are essential steps in achieving precision medicine before, during and after treatment. Radiomics provides image information that cannot be recognized by the naked eye through deep mining of medical images. Several studies have shown that radiomics, as a second reader of medical images, can assist physicians not only in the detection and diagnosis of breast lesions but also in the assessment of risk stratification and prediction of treatment response. Recently, more and more studies have focused on the application of ultrasound radiomics in breast management. We summarized recent research advances in ultrasound radiomics for the diagnosis of benign and malignant breast lesions, prediction of molecular subtype, assessment of lymph node status, prediction of neoadjuvant chemotherapy response, and prediction of survival. In addition, we discuss the current challenges and future prospects of ultrasound radiomics.
乳腺癌是全球女性中最常见的癌症。提供准确、高效的诊断、风险分层以及及时调整治疗策略是在治疗前、治疗期间和治疗后实现精准医疗的关键步骤。放射组学通过对医学图像的深度挖掘提供肉眼无法识别的图像信息。多项研究表明，放射组学作为医学图像的第二解读器，不仅可以协助医生检测和诊断乳腺病变，还可以评估风险分层和预测治疗反应。近年来，越来越多的研究聚焦于超声放射组学在乳腺管理中的应用。我们总结了超声放射组学在乳腺良恶性病变诊断、分子亚型预测、淋巴结状态评估、新辅助化疗反应预测以及生存预测方面的最新研究进展。此外，我们还讨论了超声放射组学当前面临的挑战和未来前景。
