非结核分枝杆菌感染的影像学研究进展
Progress in imaging research of non-tuberculous mycobacteria infection
陆圣威 1戴琦 2张景峰 2郑建军2
作者信息
- 1. 浙江中医药大学第二临床医学院 浙江 杭州 310000
- 2. 浙江省宁波市第二医院放射科 浙江 宁波 315000
- 折叠
摘要
非结核分枝杆菌感染多见于肺部,肺外感染亦有报道,总体发病率呈上升趋势.影像学检查是临床诊疗不可缺少的工具,对非结核分枝杆菌感染早期识别具有重要价值,同时可以直观的反应病情转归.近年来,对于人工智能技术在非结核分枝杆菌病影像学领域中的研究也在不断开展.因此,本文主要介绍非结核分枝杆菌的肺内和肺外感染的影像学进展,同时对人工智能在该疾病中的最新应用研究重点阐述.
Abstract
Non-tuberculous mycobacteria infection is common in the lungs,extrapulmonary infection has also been reported,and the overall incidence rate is on the rise.Imaging examination is an indispensable tool for clinical diagnosis and treatment,which is of great value for early identification of non-tuberculous mycobacteria infection and can intuitively reflect the outcome of the disease.In recent years,research on artificial intelligence technology in the field of imaging of non-tuberculous mycobacterial diseases has also been continuously carried out.Therefore,this article mainly introduces the imaging progress of pulmonary and extrapulmonary infections caused by non-tuberculous mycobacteria,and focuses on the latest application research of artificial in-telligence in this disease.
关键词
非结核分枝杆菌肺病/肺外非结核分枝杆菌病/影像学/人工智能Key words
Non-tuberculous mycobacteria pulmonary disease/Extrapulmonary non-tuberculous mycobacterial diseases/Im-aging/Artificial intelligence引用本文复制引用
出版年
2024
NETL
NSTL
万方数据