Abstract
High CT image quality is an important guarantee for doctors to correctly diagnose pulmonary nodules. The aim of this study was to explore the application value of PDCA management method in improving the quality of CT target scanning for pulmonary nodules. We identified 480 patients’ CT image with at least one pulmonary nodule admitted in Ninghai First hospital from September 1st, 2018, to April 30th, 2019. 240 CT images are carried out by the conventional target scanning method, and we analyzed the reasons for the low quality of some CT target scanning images of pulmonary nodules in the radiology department of our hospital. We established a new process of CT target scanning for pulmonary nodules based on the PDCA method and then tested 240 patients who were checked after January 1st, 2019. The excellent rate of CT target scanning image of pulmonary nodules in our department increased from 60.0% to more than 90.0%. The patients’ satisfaction with the examination was significantly higher than that without the implementation of PDCA management. The research result indicated that the process of CT target scanning image, postprocessing reconstruction, and numerical measurement of pulmonary nodules can be improved by standardized PDCA cycle, which benefits effectively improving the theoretical and operational skills of radiologists and significantly improving the image quality rate of CT target scanning of pulmonary nodules.
Highlights
Delivering improvements in the quality and safety of clinical diagnosis of pulmonary nodules remain an international challenge [1]
We established a new process of CT target scanning for pulmonary nodules based on the PDCA method and tested 240 patients who were checked after January 1st, 2019. e excellent rate of CT target scanning image of pulmonary nodules in our department increased from 60.0% to more than 90.0%. e patients’ satisfaction with the examination was significantly higher than that without the implementation of PDCA management. e research result indicated that the process of CT target scanning image, postprocessing reconstruction, and numerical measurement of pulmonary nodules can be improved by standardized PDCA cycle, which benefits effectively improving the theoretical and operational skills of radiologists and significantly improving the image quality rate of CT target scanning of pulmonary nodules
(2) According to the standard, we hold a seminar on the improvement of CT target scanning image of pulmonary nodules and put forward the improving measures and that can be used to solve existing problems on CT target scanning of pulmonary nodules, as follows: (i) In order to improve the problem of nonstandard reconstruction image caused by the unreasonable FOV setting of thinning image, the scanning technician selects the upper and lower +3 cm nodules according to the upper and lower ranges of the specifications, and one lung field and half mediastinum are selected for thinning in the left and right ranges. e reconstructed image was not standard due to the unreasonable FOV setting of thinning image
Summary
Delivering improvements in the quality and safety of clinical diagnosis of pulmonary nodules remain an international challenge [1]. According to the statistical analysis of cancer epidemiology in 2013, the 5-year survival rate of lung cancer is only 15%. E survival rate of lung cancer can be significantly improved by surgical resection in time. Erefore, early diagnosis of lung cancer can improve the survival rate of patients and reduce the rate of nodule thoracotomy with lung benign [13]. With the development of multislice spiral CT technology and the rapid development of scanning technology in lung cancer screening, the detection rate of pulmonary nodules has significantly increased. E purpose of our study was to apply the advantages of PDCA cycle management to the quality control management of CT target scanning of pulmonary nodule, which improves the image quality significantly
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