Department of Medical Ultrasound, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, Jiangsu, China (mainland).
Department of Ultrasound, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China (mainland).
Med Sci Monit. 2022 Oct 19;28:e937738. doi: 10.12659/MSM.937738.
The incidence of thyroid disease has gradually increased in recent years. Conventional ultrasound is one of the most critical thyroid imaging methods, but it still has certain limitations. The use of B-model ultrasound (BMUS) diagnosis of thyroid disease will be affected by a doctors' clinical experience. The ultrasound radiomics is based on ultrasound images to delineate the region of interest (ROI), and then extract features to quantify the disease information contained in the image, which helps to analyze the correlation between the image and the clinical pathology of the disease. By building a powerful model, it can be used to diagnose benign and malignant thyroid nodules, predict lymph node status in thyroid cancer, analyze molecular biological characteristics, and predict the survival of thyroid cancer patients. At present, the application of ultrasound radiomics in the thyroid is pervasive. These ultrasound radiomics studies have further promoted the progress of ultrasonic technology in the field of thyroid disease. Clinicians should be familiar with the workflow of ultrasound radiomics and understand the application of this technology to the thyroid. In this article, we first describe the workflow of ultrasound radiomics, followed by an overview of the application of ultrasound radiomics to the thyroid. Finally, some current limitations of the technology and areas for future improvement are discussed. This article aims to review the role of ultrasound radiomics and its application and limitations in the investigation of thyroid disease.
近年来,甲状腺疾病的发病率逐渐增高。传统超声是甲状腺影像学的最关键方法之一,但仍存在一定的局限性。B 型超声(BMUS)诊断甲状腺疾病的应用会受到医生临床经验的影响。超声放射组学是基于超声图像勾画感兴趣区(ROI),然后提取特征来量化图像中包含的疾病信息,有助于分析图像与疾病的临床病理之间的相关性。通过构建强大的模型,可以用于诊断甲状腺良恶性结节、预测甲状腺癌的淋巴结状态、分析分子生物学特征,以及预测甲状腺癌患者的生存情况。目前,超声放射组学在甲状腺中的应用广泛。这些超声放射组学研究进一步推动了超声技术在甲状腺疾病领域的进展。临床医生应该熟悉超声放射组学的工作流程,并了解该技术在甲状腺中的应用。本文首先描述了超声放射组学的工作流程,然后概述了超声放射组学在甲状腺中的应用。最后,讨论了该技术的一些当前局限性和未来改进领域。本文旨在回顾超声放射组学在甲状腺疾病研究中的作用及其应用和局限性。