| Li Haimei,Liu Kang,Sui Yan,Gao Zhiyuan,Yang Dewu.The influence of different CT scanning protocols on AI detection efficiency and radiation dose of solid nodules in chest phantom[J].Chinese Journal of Radiological Medicine and Protection,2023,43(3):216-221 |
| The influence of different CT scanning protocols on AI detection efficiency and radiation dose of solid nodules in chest phantom |
| Received:November 14, 2022 |
| DOI：10.3760/cma.j.cn112271-20221114-00446 |
| KeyWords:Artificial intelligence Pulmonary nodules Detection efficiency Radiation dose |
| FundProject:北京市科技计划项目（Z211100003521009） |
| Author Name | Affiliation | E-mail | | Li Haimei | Department of Radiology, Fuxing Hospital, Capital Medical University, Beijing 100038, China | | | Liu Kang | Department of Radiology, Fuxing Hospital, Capital Medical University, Beijing 100038, China | | | Sui Yan | Department of Radiology, Fuxing Hospital, Capital Medical University, Beijing 100038, China | | | Gao Zhiyuan | Department of Radiology, Fuxing Hospital, Capital Medical University, Beijing 100038, China | | | Yang Dewu | Department of Medical Technique Beijing Health Vocational College, Beijing 102433, China | 42819534@qq.com |
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| Abstract:: |
| Objective To investigate the radiation dose and detection efficiency of artificial intelligence (AI) system for solid nodules in chest phantom with different scanning protocols.Methods A total of 60 simulated nodules with different CT values and diameters were uniformly placed in each lung lobe and lung segment of the anthropomorphic chest phantom. GE Revolution evo CT was used to scan the chest phantom. 64 groups of images with different scanning parameters were collected at the tube voltage of 80, 100, 120, 140 kV, different noise indexes (NI 10-40 with interval 2), and other fixed parameters. The detection result of simulated nodules were recorded on AI software, and the detection rate and false detection rate were calculated, respectively, for different shapes of nodules. The mean volume CT dose index (CTDIvol) and dose length product (DLP) of each scan were recorded.Results There were no statistically significant differences in the detection rate and false detection rate of spherical nodules and irregular nodules at different tube voltages(P > 0.05), but there were and statistically significant with different noise indices (F=10.57, 17.77, 9.33, P < 0.001). Different tube voltages had no statistical significance for CTDIvol and DLP (P > 0.05), while different noise indices had statistical significance for CTDIvol and DLP (F=59.87, 60.92, P < 0.001). The detection rates of nodules were moderately or weakly correlated with noise indices, CTDIvol and DLP (r=0.43, 0.56, -0.58, -0.78, P < 0.05), but no correlation with tube voltage (P > 0.05).Conclusions Scanning protocol has an impact on AI detection efficiency of pulmonary nodules. Reasonable scanning parameters should be selected according to different image quality requirements in clinical practice. |
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