Yin Rui, Jiang Meng, Lv Wen-Zhi, Jiang Fan, Li Jun, Hu Bing, Cui Xin-Wu, Dietrich Christoph F
Department of Ultrasound, Affiliated Renhe Hospital of China Three Gorges University, Yichang, China.
Sino-German Tongji-Caritas Research Center of Ultrasound in Medicine, Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Front Oncol. 2020 Sep 3;10:1736. doi: 10.3389/fonc.2020.01736. eCollection 2020.
Ultrasomics is the science of transforming digitally encrypted medical ultrasound images that hold information related to tumor pathophysiology into mineable high-dimensional data. Ultrasomics data have the potential to uncover disease characteristics that are not found with the naked eye. The task of ultrasomics is to quantify the state of diseases using distinctive imaging algorithms and thereby provide valuable information for personalized medicine. Ultrasomics is a powerful tool in oncology but can also be applied to other medical problems for which a disease is imaged. To date there is no comprehensive review focusing on ultrasomics. Here, we describe how ultrasomics works and its capability in diagnosing disease in different organs, including breast, liver, and thyroid. Its pitfalls, challenges and opportunities are also discussed.
超声组学是一门将包含肿瘤病理生理学相关信息的数字加密医学超声图像转化为可挖掘的高维数据的科学。超声组学数据有可能揭示肉眼无法发现的疾病特征。超声组学的任务是使用独特的成像算法量化疾病状态,从而为个性化医疗提供有价值的信息。超声组学在肿瘤学中是一种强大的工具,但也可应用于对疾病进行成像的其他医学问题。迄今为止,尚无专注于超声组学的全面综述。在此,我们描述了超声组学的工作原理及其在诊断包括乳腺、肝脏和甲状腺在内的不同器官疾病方面的能力。还讨论了其缺陷、挑战和机遇。