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| Progress in imaging diagnosis of pneumoconiosis |
| ZENG Liutao*, CHEN Junqiang, JIANG Zhaoqiang, XU Xiufang
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| *School of Public Health, Hangzhou Medical College, Hangzhou, Zhejiang 310051, China |
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Abstract Pneumoconiosis is a serious occupational disease in China. Early imaging examination is one of the important measures for the diagnosis, treatment and prevention of pneumoconiosis. Digital radiography (DR) and computed tomography (CT) play an important role in the screening and diagnosis of pneumoconiosis, as well as the recent rise of artificial intelligence (AI) technology. This paper reviews the latest progress in technical parameter debugging and quality control of DR, optimization of AI computer-aided system and CT-aided diagnosis of pneumoconiosis, summarizes the advantages and problems in the application of the three technologies, providing research directions for imaging diagnosis of pneumoconiosis.
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Received: 02 August 2021
Revised: 03 September 2021
Published: 03 December 2021
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