Subjects: Medicine, Pharmacy >> Clinical Medicine submitted time 2018-10-26 Cooperative journals: 《协和医学杂志》
Abstract： Objective: The purpose of this study is to explore the value of standardized thyroid nodule ultrasound training and examining system in short-term training.Methods: We prospectively included 12 trainees who were trained in the Department of Ultrasound, Peking Union Medical College Hospital in December 2017, and assessed using Standardized thyroid nodule ultrasound training and examining system. The ultrasonic characteristics and malignant risk classification of thyroid nodules were investigated.The scores were automatically recorded by the system. The training part of the system was then used for corresponding training. After twelve hours and one month, the system was used again to evaluate all participants and the differences in scores before and after training were compared. Results: In this study, the results of thyroid nodule reading were significantly improved after 12 hours and one month(80.7±7.3 vs 69.9±4.0，P<0.01；78.0±9.2 vs 69.9±4.0，P<0.05) , the diagnostic ability of recognition of ultrasonic features and thyroid node classification was improved .(P <0.05). Compared with the results after 12 hours of training, the diagnostic level of thyroid nodule ultrasound did not drop significantly one month later(P> 0.05). Conclusion: Standardized thyroid nodule ultrasound training and examining system can improve students' ability of diagnosis of thyroid nodules with ultrasound in a short time, and will help the standardization diagnosis of thyroid nodules, and at the same time it provides new teaching methods for the standardization process of thyroid ultrasound in the future.
Subjects: Medicine, Pharmacy >> Clinical Medicine submitted time 2018-04-08 Cooperative journals: 《协和医学杂志》
Abstract：光声成像是利用光声效应成像的新型影像技术，具有光学成像高对比度和超声成像高穿透力的优势。光声成像分子包括内源性生色团和外源性造影剂，其中外源性分子造影剂的应用，使分子光声成像成为可能，因而具有广阔的生物医学应用前景及重要的研究意义。本文对光声成像外源性分子造影剂的物理化学性质及合成方式进行综述，重点介绍小分子有机染料、贵金属纳米颗粒、碳纳米材料、有机纳米多聚物、基因编码的生色团、铜铁化合物、半导体多聚物纳米颗粒等光声信号复合物及常见的配体分子，如小分子、肽类、亲和小体、适体和抗体等，并对未来本领域的相关研究进行展望。
Subjects: Medicine, Pharmacy >> Clinical Medicine submitted time 2018-04-08 Cooperative journals: 《协和医学杂志》
Abstract：人工智能（artificial intelligence，AI）近几年再度成为各领域关注的焦点，其中深度学习的提出带来了一系列革命性变化，而随着计算机视觉向深度学习过渡以及硬件和大数据的进步，AI在图像识别领域展现出更广阔的发展前景。深度学习模型使得相关图像算法甚至达到了比人眼更高的识别准确率,这为医学影像的发展提供了巨大契机。超声医学作为影像领域的重要分支，利用AI相关算法进行声像图分析的研究不断涌现，不仅为临床科研提供了新思路，亦有助于提高超声诊断的准确性。
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