Research advances in imaging techniques related to the diagnosis of pneumoconiosis
10.3760/cma.j.cn121094-20220304-00110
- VernacularTitle:尘肺病诊断相关影像技术研究进展
- Author:
Ningning WANG
1
;
Yi JIN
;
Chengxia WANG
Author Information
1. 淄博市职业病防治院放射科，淄博 255000
- Keywords:
Pneumoconiosis;
Imaging;
Artificial intelligence
- From:
Chinese Journal of Industrial Hygiene and Occupational Diseases
2023;41(10):876-880
- CountryChina
- Language:Chinese
-
Abstract:
Occupational pneumoconiosis (hereinafter referred to as pneumoconiosis) is the most harmful occupational disease in China. According to the current standard GBZ 70-2015 Diagnosis of Occupational Pneumoconiosis, pneumoconiosis is mainly diagnosed and staged by high kilovolt or digital radiography. Chest radiography in pneumoconiosis is the most widely studied and mature imaging technique in the diagnosis of pneumoconiosis. However, this technique has some limitations in the screening of some early pneumoconiosis and occupational health examination, and there is a certain risk of missed diagnosis and misdiagnosis. With the continuous development of imaging examination technology, computed tomography, magnetic resonance imaging, positron emission tomography-computed tomography and artificial intelligence technology as auxiliary imaging examination methods have shown different diagnostic values in the research of auxiliary diagnosis of pneumoconiosis. This paper summarizes the advantages and problems in the application of various kinds of imaging techniques, which provides a direction for the future research of imaging techniques related to the diagnosis of pneumoconiosis.
