摘要
非结核分枝杆菌病在全球的发病率逐渐上升,并且已经成为我国结核病防治领域重点关注的问题之一。非结核分枝杆菌肺病在影像学上有特征性表现,因此影像学成为诊断非结核分枝杆菌肺病的重要辅助诊断方式。近年来,人工智能在医学领域中飞速发展,基于影像学的人工智能技术在非结核分枝杆菌肺病方向有了新的研究尝试。因此,笔者整理了非结核分枝杆菌肺病的影像学表现,介绍了人工智能新技术在影像学诊断、预后和治疗评价中的应用,期望能够更好地了解非结核分枝杆菌肺病在人工智能领域的发展趋势,以及为疾病诊断、治疗评估方式提供新思路。
The incidence of diseases caused by nontuberculosis mycobacterial is gradually increasing in the world,and it has become one of the key issues of tuberculosis prevention and control in China.Medical imaging has become an essential auxiliary diagnostic method due to the characteristic imaging manifestations of nontuberculosis mycobacteria pulmonary disease.Artificial intelligence has developed rapidly in the field of medicine,and imaging-based artificial intelligence technology has made new research attempts in the direction of nontuberculosis mycobacterial pulmonary disease in recent years.Therefore,the authors collates the imaging manifestations of non-tuberculosis mycobacteria pulmonary disease and introduces the application of new artificial intelligence technologies in imaging diagnosis,prognosis,and treatment evaluation,with the expectation of better understanding the development of disease in the field of artificial intelligence as well as providing new thoughts on the way of diagnosis and treatment evaluation.
作者
高珊
聂文娟
侯代伦
初乃惠
Gao Shan;Nie Wenjuan;Hou Dailun;Chu Naihui(The First Department of Tuberculosis,Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital,Capital Medical University,Beijing 101149,China;Department of Imaging,Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital,Capital Medical University,Beijing 101149,China)
出处
《中国防痨杂志》
CAS
CSCD
北大核心
2024年第3期362-366,共5页
Chinese Journal of Antituberculosis
基金
国家自然科学基金(82100002)
北京滚动项目(2023-3)。
